{"cells":[{"cell_type":"markdown","metadata":{"id":"1wimibV4wvBF"},"source":["\n","# INTRODUCTION TO PYTHON FOR DATA SCIENCE - 7/2023 - WORKSHOP\n","\n","Material obtained and adapted from: https://github.com/iutzeler/Introduction-to-Python-for-Data-Sciences\n","\n","http://www.iutzeler.org (Franck Iutzeler, I am an Assistant Professor ( Maître de Conférences HDR) in the DAO Team of Laboratoire Jean Kuntzmann (LJK) at Université Grenoble Alpes)\n","\n","\n","\n","\n"]},{"cell_type":"markdown","source":[""],"metadata":{"id":"vVEhQo7Sdz1X"}},{"cell_type":"markdown","metadata":{"id":"pQMtoMeuOmkI"},"source":["# Preliminaries to this course\n","---\n","\n","Material obtained and modified from other courses (Postgraduate in Data Science for Medicine and Biology with Python and R. Fac Biology. UB and other materials obtained from free sources (internet). Will be cited the origin of all the material and bibliographical sources)\n","\n","\n","# Colabs (Colaboratory) and .jpynb script files\n","---\n","\n","\n","* For this Python subject we are going to use Google Colabs (Colaboratory) for its laboratories.\n","* Colaboratory, or \"Colab\" for short, is a product of Google Research. It allows any user to write and execute arbitrary Python code in the browser. It is especially suitable for machine learning, data analysis, and education tasks. From a more technical standpoint, Colab is a zero-configuration Jupyter hosted notebook service that provides free access to computing resources, such as GPUs.\n","\n","* ** Jupyter is the open source project that Colab is based on. Colab allows you to use and share Jupyter notebooks with other users without having to download, install, or run anything.**\n","\n","* For their requirements it is necessary to have a Google account.\n","\n","* All Colab notebooks are stored on Google Drive or you can upload them from GitHub. Colab notebooks can be shared just like Google Docs and Google Sheets files. To do so, click the Share button at the top right of all Colaboratory notebooks, or follow these instructions for sharing files on Google Drive.\n","\n","See the characteristics and requirements of this system in FAQS: https://research.google.com/colaboratory/intl/es/faq.html\n","\n","We will use different python executable scripts that have **.jpynb** extension. jpynb files are scripts written in Jupyter notebooks (python that contains executable code snippets and explanatory texts) that have a .jpg extension.\n","\n","\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"6BBWt2kxOmkJ"},"source":["# Python\n","\n","---\n","\n","Python is a programming language that lets you work quickly and integrate systems more effectively\n","\n","See at: https://www.python.org/\n","\n"," Python is a general-purpose programming language, meaning it can be used in,\n","\n","1. The development of both web and desktop applications.\n","2. It’s also useful in the development of complex numeric and scientific applications.\n","3. Python is one of the most popular dynamic programming languages out there including Java, Javascript, Go, and C#. Although it is often thought of as a \"scripting\" language, it is really a general purpose language.\n","\n","4. Today, Python is used for everything from simple \"scripts\" to large web servers that provide 24x7 uninterrupted service.\n","5. It is used for programming graphical interfaces and databases, web programming both on the client and on the server (see Django or Flask) and \"testing\" applications.\n","6. It is also widely accepted by scientists who make applications for the world's fastest supercomputers and by children who are just beginning to program.\n","\n","\n","\n","With this sort of versatility, it comes as no surprise that Python is one of the fastest-growing programming languages in the world.\n","\n","See more in \"Why Python Is Essential for Data Analysis and Data Science\" https://www.simplilearn.com/why-python-is-essential-for-data-analysis-article)\n","\n"," \n","\n","\n","\n","See a brief introduction to python in: Python For Beginners (https://www.python.org/about/gettingstarted/)\n","\n","BeginnersGuide-Download: https://wiki.python.org/moin/BeginnersGuide/Download\n","\n","\n","\n","\n","*Guido van Rossum*, was the creator of Python, at the convention of OSCON 2006\n","\n","\n","\n","The history of the Python programming language dates back to the late 1980s and early 1990s,1 its implementation began in December 1989 when at Christmas Guido Van Rossum who worked at the (CWI) (a Dutch research center for official character that, among other things, currently houses the W3C central office) decided to start the project as a hobby giving continuity to the ABC programming language of which he had been part of the development team at the CWI\n","\n","The name \"Python\" comes from Van Rossum's fondness for the Monty Python group. (Wikipedia)"]},{"cell_type":"markdown","source":[""],"metadata":{"id":"kEKEC4GGeAIJ"}},{"cell_type":"markdown","source":["\n","\n","---\n","\n"],"metadata":{"id":"_ZREahg2OkIT"}},{"cell_type":"markdown","source":["# R vs. Python for Data Science: Explanation and Learning Tips\n","\n","Python and R are considered essential programming languages for data science. Ideally, you'd want to master both to have a complete programming foundation, but if you're new to data science, what's the best place to start?\n","\n","see in: https://blog.edx.org/es/r-vs-python-para-la-ciencia-de-datos-explicacion-y-consejos-de-aprendizaje\n","\n","\n","---\n","\n","\\"],"metadata":{"id":"-cPusL3tFblx"}},{"cell_type":"markdown","metadata":{"id":"j3HQndd4OmkL"},"source":["\n","\n","# Basic of Python\n","---\n","\n","\n","Adapted from: https://github.com/iutzeler/ and Introduction-to-Python-for-Data-Sciences in\n","http://www.iutzeler.org\n","\n","\n","\n","## Installing Packages\n","---\n","\n","\n","This section covers the basics of how to install Python packages.\n","\n","\n","\n","\n","\n","\n","\n","\n","It’s important to note that the term “package” in this context is being used to describe a bundle of software to be installed (i.e. as a synonym for a distribution). It does not to refer to the kind of package that you import in your Python source code (i.e. a container of modules). It is common in the Python community to refer to a distribution using the term “package”. Using the term “distribution” is often not preferred, because it can easily be confused with a Linux distribution, or another larger software distribution like Python itself.\n","\n","Before you go any further, make sure you have Python and that the expected version is available from your command line. You can check this by running (only in local, not in Colab):\n","python3 --version\n","\n","Ensure you can run pip from the command line\n","Additionally, you’ll need to make sure you have pip available. You can check this by running (only in local, not in Colab): python3 -m pip --version\n","\n","\n"]},{"cell_type":"markdown","source":["**Use pip for Installing**\n","\n","pip is the recommended installer. Below, we’ll cover the most common usage scenarios. For more detail, see the pip docs, which includes a complete Reference Guide (see in https://pip.pypa.io/en/latest/cli/).\n","\n","Example to install library numpy (only in local, not in Colab)\n","\n","python3 -m pip install numpy\n","\n","Now we are going to see the instruction to install Numpy (if it is not available) in the Colab (remember that the basic libraries are available)"],"metadata":{"id":"n_h--EP0khDl"}},{"cell_type":"code","source":["!pip install numpy #is not necessary in colabs, since most common packages are already pre-installed"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"OIpbLBmZkheD","executionInfo":{"status":"ok","timestamp":1688376336686,"user_tz":-120,"elapsed":4072,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"4bf027ae-1b77-485f-eefe-44d10e5c88eb"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (1.22.4)\n"]}]},{"cell_type":"markdown","source":["# NUMPY. Numerical Computing with Python\n","\n","Python language is an excellent tool for general-purpose programming, with a highly readable syntax, rich and powerful data types"],"metadata":{"id":"0vwUll5BHisY"}},{"cell_type":"markdown","source":["---\n","\n","However, it was not designed specifically for mathematical and scientific computing.\n","In particular, Python lists are very flexible containers, but they are poorly suited to represent efficiently common mathematical constructs like vectors and matrices.\n","\n","Fortunately, exists the **numpy** package (https://numpy.org/) which is a package that provide high-performance vector, matrix and higher-dimensional data structures for Python. It is implemented in C and Fortran so when calculations are vectorized (formulated with vectors and matrices), performance is very good. It is used in almost all numerical computation using Python.\n"],"metadata":{"id":"5NL_bRmbHtqS"}},{"cell_type":"markdown","source":["\n","See more in: https://packaging.python.org/en/latest/tutorials/installing-packages/\n","\n"],"metadata":{"id":"VSPtVof3k1Ct"}},{"cell_type":"markdown","source":["**DID YOU KNOW?**\n","\n","Why not simply use Python lists for computations instead of creating a new array type?\n","\n","There are several reasons:\n","\n","* Python lists are very general. They can contain any kind of object. They are dynamically typed. They do not support mathematical functions such as matrix and dot multiplications, etc. Implementating such functions for Python lists would not be very efficient because of the dynamic typing.\n","* Numpy arrays are statically typed and homogeneous. The type of the elements is determined when array is created.\n","* Numpy arrays are memory efficient.\n","* Because of the static typing, fast implementation of mathematical functions such as multiplication and addition of numpy arrays can be implemented in a compiled language (C and Fortran is used).\n","\n"],"metadata":{"id":"FbXx9_sxCdIR"}},{"cell_type":"markdown","metadata":{"id":"KM0P5Ih4wvBH"},"source":["\n","# Chap. 1 - THE BASICS \n","\n","\n","\n","---\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"fKzYSeeuwvBH"},"source":["# 0 - Installation and Quick Start"]},{"cell_type":"markdown","metadata":{"id":"D_bDMebawvBH"},"source":["[Python](https://fr.wikipedia.org/wiki/Python_(langage)) is a programming language that is widely spread nowadays. It is used in many different domains thanks to its versatility.\n","\n","\n","It is an interpreted language meaning that the code is not compiled but *translated* by a running Python engine."]},{"cell_type":"markdown","metadata":{"id":"6eOWL4eRwvBH"},"source":["## Installation\n","\n","See https://www.python.org/about/gettingstarted/ for how to install Python (but it is probably already installed).\n","\n","\n","In Data Science, it is common to use [Anaconda](https://www.anaconda.com/) to download and install Python and its environment. (see also the [quickstart](https://docs.anaconda.com/anaconda/user-guide/getting-started/).)\n"]},{"cell_type":"markdown","metadata":{"id":"lsTSHDg8wvBH"},"source":["## Writing Code\n","\n","Several options exists, more ore less user-friendly."]},{"cell_type":"markdown","metadata":{"id":"VnM6hPuuwvBH"},"source":["### In the python shell\n","\n","\n","The python shell can be launched by typing the command `python` in a terminal (this works on Linux, Mac, and Windows with PowerShell). To exit it, type `exit()`.\n","\n","\n","\n","*Warning:* Python (version 2.x) and Python3 (version 3.x) coexists in some systems as two different softwares. The differences appear small but are real, and Python 2 is no longer supported, to be sure to have Python 3, you can type `python3`.\n","\n","\n","From the shell, you can enter Python code that will be executed on the run as you press Enter. As long as you are in the same shell, you keep your variables, but as soon as you exit it, everything is lost. It might not be the best option...\n","\n"]},{"cell_type":"markdown","metadata":{"id":"Gm5cjnufwvBI"},"source":["### From a file\n","\n","\n","You can write your code in a file and then execute it with Python. The extension of Python files is typically `.py`.\n","\n","If you create a file `test.py` (using any text editor) containing the following code:\n","\n","---\n","~~~\n","a = 10\n","a = a + 7\n","\n","print(a)\n","~~~\n","---\n","\n","or\n","\n","---\n","~~~\n","# This program prints Hello, world!\n","\n","print('Hello, world!')\n","~~~\n","---\n","Save as HelloWorld.py\n","\n","Then, you can run it using the command `python test.py` in a terminal from the *same folder* as the file.\n","\n","\n","\n","See this easy example in: https://www.datacamp.com/tutorial/running-a-python-script\n","\n","This is a conveniant solution to run some code but it is probably not the best way to code."]},{"cell_type":"markdown","metadata":{"id":"wV-2EJnNwvBI"},"source":["### Using an integrated development environment (IDE)\n","\n","\n","You can edit you Python code files with IDEs that offer debuggers, syntax checking, etc. Two popular exemples are:\n","* [Spyder](https://www.spyder-ide.org/) which is quite similar to MATLAB or RStudio\n","\n","* [VS Code](https://code.visualstudio.com/) which has a very good Python integration while not being restricted to it.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"zkU4lo8TwvBI"},"source":["### Jupyter notebooks\n","\n","\n","[Jupyter notebooks](https://jupyter.org/) are browser-based notebooks for Julia, Python, and R, they correspond to `.ipynb` files. The main features of jupyter notebooks are:\n","* In-browser editing for code, with automatic syntax highlighting, indentation, and tab completion/introspection.\n","* The ability to execute code from the browser and plot inline.\n","* In-browser editing for rich text using the Markdown markup language.\n","* The ability to include mathematical notation within markdown cells using LaTeX, and rendered natively by MathJax.\n","\n","\n","#### Installation\n","\n","In a terminal, enter `python -m pip install notebook` or simply `pip install notebook`\n","\n","*Note :* Anaconda directly comes with notebooks, they can be lauched from the Navigator directly.\n","\n","\n","#### Use\n","\n","To lauch Jupyter, enter `jupyter notebook`.\n","\n","This starts a *kernel* (a process that runs and interfaces the notebook content with an (i)Python shell) and opens a tab in the *browser*. The whole interface of Jupyter notebook is *web-based* and can be accessed at the address http://localhost:8888 .\n","\n","Then, you can either create a new notebook or open a notebooks (`.ipynb` file) of the current folder.\n","\n","*Note :* Closing the tab *does not terminate* the notebook, it can still be accessed at the above adress. To terminate it, use the interface (File -> Close and Halt) or in the kernel terminal type `Ctrl+C`.\n","\n","\n","#### Remote notebook exectution\n","\n","Without any installation, you can:\n","* *view* notebooks using [NBViewer](https://nbviewer.jupyter.org/)\n","* *fully interact* with notebooks (create/modify/run) using [UGA's Jupyter hub](https://jupyterhub.u-ga.fr/), [Binder](https://mybinder.org/) or [Google Colab](https://colab.research.google.com/)"]},{"cell_type":"markdown","metadata":{"id":"CooS7b_qwvBI"},"source":["\n","#### Interface\n","\n","Notebook documents contains the inputs and outputs of an interactive python shell as well as additional text that accompanies the code but is not meant for execution. In this way, notebook files can serve as a complete computational record of a session, interleaving executable code with explanatory text, mathematics, and representations of resulting objects. These documents are saved with the `.ipynb` extension.\n","\n","Notebooks may be exported to a range of static formats, including HTML (for example, for blog posts), LaTeX, PDF, etc. by `File->Download as`\n","\n","\n","\n","##### Accessing notebooks\n","You can open a notebook by the file explorer from the *Home* (welcome) tab or using `File->Open` from an opened notebook. To create a new notebook use the `New` button top-right of *Home* (welcome) tab or using `File->New Notebook` from an opened notebook, the programming language will be asked.\n","\n","##### Editing notebooks\n","You can modify the title (that is the file name) by clicking on it next to the jupyter logo.\n","The notebooks are a succession of *cells*, that can be of four types:\n","* `code` for python code (as in ipython)\n","* `markdown` for text in Markdown formatting (see this [Cheatsheet](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet)). You may additionally use HTML and Latex math formulas.\n","* `raw` and `heading` are less used for raw text and titles\n","\n","##### Cells\n","You can *edit* a cell by double-clicking on it.\n","You can *run* a cell by using the menu or typing `Ctrl+Enter` (You can also run all cells, all cells above a certain point). It if is a text cell, it will be formatted. If it is a code cell it will run as it was entered in a ipython shell, which means all previous actions, functions, variables defined, are persistent. To get a clean slate, your have to *restart the kernel* by using `Kernel->Restart`.\n","\n","##### Useful commands\n","\n","* `Tab` autocompletes\n","* `Shift+Tab` gives the docstring of the input function\n","* `?` return the help\n","\n"]},{"cell_type":"markdown","source":["# GOOGLE COLABS TO LEARN PYTHON\n","\n","We are going to use Notebooks in Google Colab to do the exercises\n","\n","https://colab.research.google.com/?hl=es\n"],"metadata":{"id":"B-QPt5hRDNFx"}},{"cell_type":"markdown","source":["\n","\n","---\n","\n"],"metadata":{"id":"ozgQRftYJiv8"}},{"cell_type":"markdown","source":["# 1-OPEN FILES, SIMPLE ANALYSIS AND WRITE IN PYTHON"],"metadata":{"id":"USmymcHHJn-M"}},{"cell_type":"markdown","metadata":{"id":"A89zd4wTwvBf"},"source":["# 1.1- Reading and writing files\n","\n","\n","\n","`open` returns a file object, and is most commonly used with two arguments: `open(filename, mode)`.\n","\n","The first argument is a string containing the filename. The second argument is another string containing a few characters describing the way in which the file will be used (optional, 'r' will be assumed if it’s omitted.):\n","* 'r' when the file will only be read\n","* 'w' for only writing (an existing file with the same name will be erased)\n","* 'a' opens the file for appending; any data written to the file is automatically added to the end"]},{"cell_type":"code","source":["#ver en: https://blog.devgenius.io/several-ways-of-importing-text-data-into-python-colab-for-textual-analysis-ec031af5d75e\n","\n","#download from remote storage and open locally\n","\n","url = \"http://biost3.bio.ub.edu/html/workshop_data_science2023/DataExample_Clasifficfruit_data_with_colors.txt\"\n","\n","file = url.split(\"/\")[-1] #Split a URL into its components in Python\n","\n","!wget {url} #Wget is a convenient and widely supported tool for downloading files over three protocols: HTTP, HTTPS, and FTP. Wget owes its popularity to two of its main features: recursiveness and robustness.\n","\n","f = open(file) #here apply open in order to open the file, example open(file.txt), see in https://www.w3schools.com/python/python_file_open.asp\n","\n","raw = f.read() #read elements in the file\n","\n","print( raw[:150] ) #primeros 150 caracteres\n","\n","#SEE THE FILE DOWNLOADED IN YOUR FOLDER IN ROOT"],"metadata":{"id":"QwXaTSOzaloK","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688378084121,"user_tz":-120,"elapsed":2010,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"c54ed599-1306-45d3-ae88-eb4adb180997"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["--2023-07-03 09:54:41-- http://biost3.bio.ub.edu/html/workshop_data_science2023/DataExample_Clasifficfruit_data_with_colors.txt\n","Resolving biost3.bio.ub.edu (biost3.bio.ub.edu)... 161.116.82.76\n","Connecting to biost3.bio.ub.edu (biost3.bio.ub.edu)|161.116.82.76|:80... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 2370 (2.3K) [text/plain]\n","Saving to: ‘DataExample_Clasifficfruit_data_with_colors.txt’\n","\n","DataExample_Clasiff 100%[===================>] 2.31K --.-KB/s in 0s \n","\n","2023-07-03 09:54:43 (225 MB/s) - ‘DataExample_Clasifficfruit_data_with_colors.txt’ saved [2370/2370]\n","\n","fruit_label\tfruit_name\tfruit_subtype\tmass\twidth\theight\tcolor_score\n","1\tapple\tgranny_smith\t192\t8.4\t7.3\t0.55\n","1\tapple\tgranny_smith\t180\t8.0\t6.8\t0.59\n","1\tapple\n"]}]},{"cell_type":"code","source":["#PRINT ON THE SCREEN ALL DATA in order to see all DATA: FILE WITH FRUITS\n","print(raw)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"r03H9Hx4R1xw","executionInfo":{"status":"ok","timestamp":1688378121523,"user_tz":-120,"elapsed":322,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"d84be6c3-9fbe-419a-9484-c951478575fe"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["fruit_label\tfruit_name\tfruit_subtype\tmass\twidth\theight\tcolor_score\n","1\tapple\tgranny_smith\t192\t8.4\t7.3\t0.55\n","1\tapple\tgranny_smith\t180\t8.0\t6.8\t0.59\n","1\tapple\tgranny_smith\t176\t7.4\t7.2\t0.60\n","2\tmandarin\tmandarin\t86 \t6.2\t4.7\t0.80\n","2\tmandarin\tmandarin\t84 \t6.0\t4.6\t0.79\n","2\tmandarin\tmandarin\t80 \t5.8\t4.3\t0.77\n","2\tmandarin\tmandarin\t80 \t5.9 \t4.3\t0.81\n","2\tmandarin\tmandarin\t76\t5.8\t4.0\t0.81\n","1\tapple\tbraeburn\t178\t7.1\t7.8\t0.92\n","1\tapple\tbraeburn\t172\t7.4\t7.0\t0.89\n","1\tapple\tbraeburn\t166\t6.9\t7.3\t0.93\n","1\tapple\tbraeburn\t172\t7.1\t7.6\t0.92\n","1\tapple\tbraeburn\t154\t7.0\t7.1\t0.88\n","1\tapple\tgolden_delicious\t164\t7.3\t7.7\t0.70\n","1\tapple\tgolden_delicious\t152\t7.6\t7.3\t0.69\n","1\tapple\tgolden_delicious\t156\t7.7\t7.1\t0.69\n","1\tapple\tgolden_delicious\t156\t7.6\t7.5\t0.67\n","1\tapple\tgolden_delicious\t168\t7.5\t7.6\t0.73\n","1\tapple\tcripps_pink\t162\t7.5\t7.1\t0.83\n","1\tapple\tcripps_pink\t162\t7.4\t7.2\t0.85\n","1\tapple\tcripps_pink\t160\t7.5\t7.5\t0.86\n","1\tapple\tcripps_pink\t156\t7.4\t7.4\t0.84\n","1\tapple\tcripps_pink\t140\t7.3\t7.1\t0.87\n","1\tapple\tcripps_pink\t170\t7.6\t7.9\t0.88\n","3\torange\tspanish_jumbo\t342\t9.0\t9.4\t0.75\n","3\torange\tspanish_jumbo\t356\t9.2\t9.2\t0.75\n","3\torange\tspanish_jumbo\t362\t9.6\t9.2\t0.74\n","3\torange\tselected_seconds\t204\t7.5\t9.2\t0.77\n","3\torange\tselected_seconds\t140\t6.7\t7.1\t0.72\n","3\torange\tselected_seconds\t160\t7.0\t7.4\t0.81\n","3\torange\tselected_seconds\t158\t7.1\t7.5\t0.79\n","3\torange\tselected_seconds\t210\t7.8\t8.0\t0.82\n","3\torange\tselected_seconds\t164\t7.2\t7.0\t0.80\n","3\torange\tturkey_navel\t190\t7.5\t8.1\t0.74\n","3\torange\tturkey_navel\t142\t7.6\t7.8\t0.75\n","3\torange\tturkey_navel\t150\t7.1\t7.9\t0.75\n","3\torange\tturkey_navel\t160\t7.1\t7.6\t0.76\n","3\torange\tturkey_navel\t154\t7.3\t7.3\t0.79\n","3\torange\tturkey_navel\t158\t7.2\t7.8\t0.77\n","3\torange\tturkey_navel\t144\t6.8\t7.4\t0.75\n","3\torange\tturkey_navel\t154\t7.1\t7.5\t0.78\n","3\torange\tturkey_navel\t180\t7.6\t8.2\t0.79\n","3\torange\tturkey_navel\t154\t7.2\t7.2\t0.82\n","4\tlemon\tspanish_belsan\t194\t7.2\t10.3\t0.70\n","4\tlemon\tspanish_belsan\t200\t7.3\t10.5\t0.72\n","4\tlemon\tspanish_belsan\t186\t7.2\t9.2\t0.72\n","4\tlemon\tspanish_belsan\t216\t7.3\t10.2\t0.71\n","4\tlemon\tspanish_belsan\t196\t7.3\t9.7\t0.72\n","4\tlemon\tspanish_belsan\t174\t7.3\t10.1\t0.72\n","4\tlemon\tunknown\t132\t5.8\t8.7\t0.73\n","4\tlemon\tunknown\t130\t6.0\t8.2\t0.71\n","4\tlemon\tunknown\t116\t6.0\t7.5\t0.72\n","4\tlemon\tunknown\t118\t5.9\t8.0\t0.72\n","4\tlemon\tunknown\t120\t6.0\t8.4\t0.74\n","4\tlemon\tunknown\t116\t6.1\t8.5\t0.71\n","4\tlemon\tunknown\t116\t6.3\t7.7\t0.72\n","4\tlemon\tunknown\t116\t5.9\t8.1\t0.73\n","4\tlemon\tunknown\t152\t6.5\t8.5\t0.72\n","4\tlemon\tunknown\t118\t6.1\t8.1\t0.70\n","\n"]}]},{"cell_type":"markdown","source":["Now: Python Create Text File\n","\n","For example, the following creates a new file called data_example.txt and write some text into it:\n","\n"],"metadata":{"id":"2vyzlzpMVNVJ"}},{"cell_type":"markdown","metadata":{"id":"VRdA4mu0wvBg"},"source":["`f.write(string)` writes the contents of string to the file."]},{"cell_type":"code","source":["#I create a data file with 2 rows\n","\n","with open('data_example.txt', 'w') as f:\n"," f.write('X Y Z\\n') #\\n line break\n"," f.write('3 5 7\\n')\n"," f.write('7 9 13\\n')"],"metadata":{"id":"hFJsSkElVmXm"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"FgZEWYxNwvBh"},"source":["*Warning:* For the file to be actually written and being able to be opened and modified again without mistakes, it is primordial to close the file handle with `f.close()`\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zapy3tsrwvBh"},"outputs":[],"source":["f.close() #close file"]},{"cell_type":"markdown","source":["Now, open the new file and print data"],"metadata":{"id":"9qx2ylugW5y2"}},{"cell_type":"code","source":["f = open(\"data_example.txt\") #here apply open in order to open the file, example open(file.txt), see in https://www.w3schools.com/python/python_file_open.asp\n","\n","raw = f.read() #read elements in the file\n","print(raw)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"C-e22n97WXmF","executionInfo":{"status":"ok","timestamp":1688378208340,"user_tz":-120,"elapsed":348,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"45f490dd-f654-4e26-9519-10c3eac49ad6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["X Y Z\n","3 5 7\n","7 9 13\n","\n"]}]},{"cell_type":"markdown","source":["`f.read()` will read an entire file and put the pointer at the end.\n","other posibility is:\n"],"metadata":{"id":"596x_o07Xq8H"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"VxjdQMrvwvBh","outputId":"501bc8a2-75a1-4c08-eb41-70ab4bf162d7","colab":{"base_uri":"https://localhost:8080/","height":36},"executionInfo":{"status":"ok","timestamp":1688378335787,"user_tz":-120,"elapsed":333,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'X Y Z\\n3 5 7\\n7 9 13\\n'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":23}],"source":["f = open('data_example.txt', 'r')\n","f.read() #all in only a line"]},{"cell_type":"markdown","metadata":{"id":"PqFGrifqwvBk"},"source":["For reading lines from a file, you can loop over the file object. This is memory efficient, fast, and leads to simple code:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"OzID0YDnwvBl","outputId":"626d60ba-8c1f-4cf8-9689-d4981e908310","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688378420378,"user_tz":-120,"elapsed":324,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["X Y Z\n","\n","3 5 7\n","\n","7 9 13\n","\n"]}],"source":["f.seek(0)\n","for line in f:\n"," print(line)\n","\n","f.close()"]},{"cell_type":"markdown","source":["Other possibility more professional is use library pandas"],"metadata":{"id":"8GTRMlaDbxpJ"}},{"cell_type":"code","source":["import pandas as pd"],"metadata":{"id":"CX2ydmAubwoO"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["%matplotlib inline #With this backend, the output of plotting commands is displayed inline within frontends like the Jupyter notebook, directly below the code cell that produced it. The resulting plots will then also be stored in the notebook document.\n","\n","#fruits = pd.read_table('fruit_data_with_colors.txt')\n","fruits = pd.read_table('DataExample_Clasifficfruit_data_with_colors.txt')\n","fruits.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"RjZQne-6bkZP","executionInfo":{"status":"ok","timestamp":1688378427385,"user_tz":-120,"elapsed":429,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"1c70b8fc-a4ed-42dd-8613-b0ab52d59911"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" fruit_label fruit_name fruit_subtype mass width height color_score\n","0 1 apple granny_smith 192 8.4 7.3 0.55\n","1 1 apple granny_smith 180 8.0 6.8 0.59\n","2 1 apple granny_smith 176 7.4 7.2 0.60\n","3 2 mandarin mandarin 86 6.2 4.7 0.80\n","4 2 mandarin mandarin 84 6.0 4.6 0.79"],"text/html":["\n","
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fruit_labelfruit_namefruit_subtypemasswidthheightcolor_score
01applegranny_smith1928.47.30.55
11applegranny_smith1808.06.80.59
21applegranny_smith1767.47.20.60
32mandarinmandarin866.24.70.80
42mandarinmandarin846.04.60.79
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\n"," "]},"metadata":{},"execution_count":28}]},{"cell_type":"code","source":["#or all data\n","fruits #this object is a data-frame or dataset"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"LEeJCUDuMszp","executionInfo":{"status":"ok","timestamp":1688378476360,"user_tz":-120,"elapsed":352,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"05470678-28ef-4c9a-97af-08e66509438d"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" fruit_label fruit_name fruit_subtype mass width height color_score\n","0 1 apple granny_smith 192 8.4 7.3 0.55\n","1 1 apple granny_smith 180 8.0 6.8 0.59\n","2 1 apple granny_smith 176 7.4 7.2 0.60\n","3 2 mandarin mandarin 86 6.2 4.7 0.80\n","4 2 mandarin mandarin 84 6.0 4.6 0.79\n","5 2 mandarin mandarin 80 5.8 4.3 0.77\n","6 2 mandarin mandarin 80 5.9 4.3 0.81\n","7 2 mandarin mandarin 76 5.8 4.0 0.81\n","8 1 apple braeburn 178 7.1 7.8 0.92\n","9 1 apple braeburn 172 7.4 7.0 0.89\n","10 1 apple braeburn 166 6.9 7.3 0.93\n","11 1 apple braeburn 172 7.1 7.6 0.92\n","12 1 apple braeburn 154 7.0 7.1 0.88\n","13 1 apple golden_delicious 164 7.3 7.7 0.70\n","14 1 apple golden_delicious 152 7.6 7.3 0.69\n","15 1 apple golden_delicious 156 7.7 7.1 0.69\n","16 1 apple golden_delicious 156 7.6 7.5 0.67\n","17 1 apple golden_delicious 168 7.5 7.6 0.73\n","18 1 apple cripps_pink 162 7.5 7.1 0.83\n","19 1 apple cripps_pink 162 7.4 7.2 0.85\n","20 1 apple cripps_pink 160 7.5 7.5 0.86\n","21 1 apple cripps_pink 156 7.4 7.4 0.84\n","22 1 apple cripps_pink 140 7.3 7.1 0.87\n","23 1 apple cripps_pink 170 7.6 7.9 0.88\n","24 3 orange spanish_jumbo 342 9.0 9.4 0.75\n","25 3 orange spanish_jumbo 356 9.2 9.2 0.75\n","26 3 orange spanish_jumbo 362 9.6 9.2 0.74\n","27 3 orange selected_seconds 204 7.5 9.2 0.77\n","28 3 orange selected_seconds 140 6.7 7.1 0.72\n","29 3 orange selected_seconds 160 7.0 7.4 0.81\n","30 3 orange selected_seconds 158 7.1 7.5 0.79\n","31 3 orange selected_seconds 210 7.8 8.0 0.82\n","32 3 orange selected_seconds 164 7.2 7.0 0.80\n","33 3 orange turkey_navel 190 7.5 8.1 0.74\n","34 3 orange turkey_navel 142 7.6 7.8 0.75\n","35 3 orange turkey_navel 150 7.1 7.9 0.75\n","36 3 orange turkey_navel 160 7.1 7.6 0.76\n","37 3 orange turkey_navel 154 7.3 7.3 0.79\n","38 3 orange turkey_navel 158 7.2 7.8 0.77\n","39 3 orange turkey_navel 144 6.8 7.4 0.75\n","40 3 orange turkey_navel 154 7.1 7.5 0.78\n","41 3 orange turkey_navel 180 7.6 8.2 0.79\n","42 3 orange turkey_navel 154 7.2 7.2 0.82\n","43 4 lemon spanish_belsan 194 7.2 10.3 0.70\n","44 4 lemon spanish_belsan 200 7.3 10.5 0.72\n","45 4 lemon spanish_belsan 186 7.2 9.2 0.72\n","46 4 lemon spanish_belsan 216 7.3 10.2 0.71\n","47 4 lemon spanish_belsan 196 7.3 9.7 0.72\n","48 4 lemon spanish_belsan 174 7.3 10.1 0.72\n","49 4 lemon unknown 132 5.8 8.7 0.73\n","50 4 lemon unknown 130 6.0 8.2 0.71\n","51 4 lemon unknown 116 6.0 7.5 0.72\n","52 4 lemon unknown 118 5.9 8.0 0.72\n","53 4 lemon unknown 120 6.0 8.4 0.74\n","54 4 lemon unknown 116 6.1 8.5 0.71\n","55 4 lemon unknown 116 6.3 7.7 0.72\n","56 4 lemon unknown 116 5.9 8.1 0.73\n","57 4 lemon unknown 152 6.5 8.5 0.72\n","58 4 lemon unknown 118 6.1 8.1 0.70"],"text/html":["\n","
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fruit_labelfruit_namefruit_subtypemasswidthheightcolor_score
01applegranny_smith1928.47.30.55
11applegranny_smith1808.06.80.59
21applegranny_smith1767.47.20.60
32mandarinmandarin866.24.70.80
42mandarinmandarin846.04.60.79
52mandarinmandarin805.84.30.77
62mandarinmandarin805.94.30.81
72mandarinmandarin765.84.00.81
81applebraeburn1787.17.80.92
91applebraeburn1727.47.00.89
101applebraeburn1666.97.30.93
111applebraeburn1727.17.60.92
121applebraeburn1547.07.10.88
131applegolden_delicious1647.37.70.70
141applegolden_delicious1527.67.30.69
151applegolden_delicious1567.77.10.69
161applegolden_delicious1567.67.50.67
171applegolden_delicious1687.57.60.73
181applecripps_pink1627.57.10.83
191applecripps_pink1627.47.20.85
201applecripps_pink1607.57.50.86
211applecripps_pink1567.47.40.84
221applecripps_pink1407.37.10.87
231applecripps_pink1707.67.90.88
243orangespanish_jumbo3429.09.40.75
253orangespanish_jumbo3569.29.20.75
263orangespanish_jumbo3629.69.20.74
273orangeselected_seconds2047.59.20.77
283orangeselected_seconds1406.77.10.72
293orangeselected_seconds1607.07.40.81
303orangeselected_seconds1587.17.50.79
313orangeselected_seconds2107.88.00.82
323orangeselected_seconds1647.27.00.80
333orangeturkey_navel1907.58.10.74
343orangeturkey_navel1427.67.80.75
353orangeturkey_navel1507.17.90.75
363orangeturkey_navel1607.17.60.76
373orangeturkey_navel1547.37.30.79
383orangeturkey_navel1587.27.80.77
393orangeturkey_navel1446.87.40.75
403orangeturkey_navel1547.17.50.78
413orangeturkey_navel1807.68.20.79
423orangeturkey_navel1547.27.20.82
434lemonspanish_belsan1947.210.30.70
444lemonspanish_belsan2007.310.50.72
454lemonspanish_belsan1867.29.20.72
464lemonspanish_belsan2167.310.20.71
474lemonspanish_belsan1967.39.70.72
484lemonspanish_belsan1747.310.10.72
494lemonunknown1325.88.70.73
504lemonunknown1306.08.20.71
514lemonunknown1166.07.50.72
524lemonunknown1185.98.00.72
534lemonunknown1206.08.40.74
544lemonunknown1166.18.50.71
554lemonunknown1166.37.70.72
564lemonunknown1165.98.10.73
574lemonunknown1526.58.50.72
584lemonunknown1186.18.10.70
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\n"," "]},"metadata":{},"execution_count":29}]},{"cell_type":"markdown","metadata":{"id":"G8UzkGzdwvBl"},"source":["# 1.2- Data Analysis using data (data-sets)\n"]},{"cell_type":"markdown","source":["Each row of the dataset represents one piece of the fruit as represented by several features that are in the table’s columns.\n","\n","We have 59 pieces of fruits and 7 features in the dataset:"],"metadata":{"id":"7CkMyJICcgj2"}},{"cell_type":"code","source":["print(fruits.shape) #dataframe dimension"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JSxbAuBlcm-n","outputId":"92d1e57e-3f3d-4956-f816-785e6ad5c685","executionInfo":{"status":"ok","timestamp":1688378493858,"user_tz":-120,"elapsed":329,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["(59, 7)\n"]}]},{"cell_type":"markdown","source":["We have four types of fruits in the dataset:"],"metadata":{"id":"20ljE9mLcpc7"}},{"cell_type":"code","source":["print(fruits['fruit_name'].unique())"],"metadata":{"id":"VrCs-2KgcuIt","colab":{"base_uri":"https://localhost:8080/"},"outputId":"6438c9b9-f5db-45f2-e0b6-e943d28992c0","executionInfo":{"status":"ok","timestamp":1688378556414,"user_tz":-120,"elapsed":328,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["['apple' 'mandarin' 'orange' 'lemon']\n"]}]},{"cell_type":"markdown","source":["Now we will see how many observations we have by type of fruit."],"metadata":{"id":"2Usp8ynIcx-i"}},{"cell_type":"code","source":["print(fruits.groupby('fruit_name').size())"],"metadata":{"id":"xgm19sa6c1OK","colab":{"base_uri":"https://localhost:8080/"},"outputId":"eda3d079-40c6-4230-d5f4-c945efa0f5e5","executionInfo":{"status":"ok","timestamp":1688378563297,"user_tz":-120,"elapsed":323,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["fruit_name\n","apple 19\n","lemon 16\n","mandarin 5\n","orange 19\n","dtype: int64\n"]}]},{"cell_type":"code","source":["#classes bar plot\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","ax= sns.countplot(x=fruits['fruit_name'])\n","ax.set_xlabel(\"Fruit name\")\n","ax.set_ylabel(\"Count\")\n","ax.set_xticklabels(fruits['fruit_name'].unique()) #We could change manually x category labels\n","ax.set_title(\"Fruits\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"fkTS1xibiuT2","outputId":"0e28b08f-c789-44f7-de33-3b967d8295bb","executionInfo":{"status":"ok","timestamp":1688378577542,"user_tz":-120,"elapsed":1539,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["We can see that the data is pretty balanced except mandarin. We will just have to go with it."],"metadata":{"id":"h0-x-6SLioGz"}},{"cell_type":"markdown","source":["### Visualization\n","\n","Box plot for each numeric variable will give us a clearer idea of the distribution of the input variables:"],"metadata":{"id":"ysiQTO76c-bF"}},{"cell_type":"code","source":["#variable boxplot: see in https://www.simplypsychology.org/boxplots.html\n","fruits.drop('fruit_label', axis=1).plot(kind='box', subplots=True, layout=(2,2), sharex=False, sharey=False, figsize=(9,9),\n"," title='Box Plot for each input variable')\n","plt.savefig('fruits_box')\n","plt.show()"],"metadata":{"id":"j7EJGB6IdAU8","colab":{"base_uri":"https://localhost:8080/","height":843},"outputId":"d2d2d91b-ea36-40e9-88ff-d182935455f6","executionInfo":{"status":"ok","timestamp":1688378592372,"user_tz":-120,"elapsed":1291,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["It looks like perhaps color score has a near Gaussian distribution."],"metadata":{"id":"OgLgrp0tdNKk"}},{"cell_type":"markdown","source":["Now we can see the distribution with a histogram for each input variable"],"metadata":{"id":"UWlekYzolUWP"}},{"cell_type":"code","source":["fig, axs = plt.subplots(2, 2, figsize=(10, 7))\n","axs = axs.ravel()\n","for i, var in enumerate(['mass', 'width', 'height', 'color_score']):\n"," sns.histplot(data=fruits, x=var, ax=axs[i], kde=True,bins=30)\n","\n","\n","plt.suptitle(\"Histogram for each numeric input variable\")\n","plt.savefig('fruits_hist')\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":689},"id":"kNE6rPOPdWYG","outputId":"3cc0146e-3ac3-4ed1-b15d-0e88649c4c5b","executionInfo":{"status":"ok","timestamp":1688378602744,"user_tz":-120,"elapsed":4402,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Now we can look at the correlation between the variables, for this purpose, we can make a scatter matrix."],"metadata":{"id":"awh8mTLHlrqt"}},{"cell_type":"code","source":["sns.pairplot(fruits, hue='fruit_label',diag_kind=\"hist\",palette=\"tab10\")\n","plt.suptitle('Scatter-matrix for each input variable')\n","plt.savefig('fruits_scatter_matrix')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"oA1tTMyTUMui","outputId":"3285b549-d781-4870-cfea-e0d5b1679b58","executionInfo":{"status":"ok","timestamp":1688378616429,"user_tz":-120,"elapsed":9291,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{}}]},{"cell_type":"code","source":["sns.pairplot(fruits, hue='fruit_label',palette='tab10')\n","plt.suptitle('Scatter-matrix for each input variable')\n","plt.savefig('fruits_scatter_matrix2')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"egZXtEl7SFvE","outputId":"5e2efea6-d957-4f15-a635-358fb02771ab","executionInfo":{"status":"ok","timestamp":1688378633138,"user_tz":-120,"elapsed":9179,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Some pairs of attributes are correlated (mass and width). This suggests a high correlation and a predictable relationship."],"metadata":{"id":"NMAYsKp0dWL0"}},{"cell_type":"markdown","metadata":{"id":"heHfCfX7wvBJ"},"source":["# 2- Numbers and Variables\n","\n","\n","## Variables\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3WwmIg7lwvBJ","executionInfo":{"status":"ok","timestamp":1688379905601,"user_tz":-120,"elapsed":353,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"1ac95cde-9dcb-46f2-f2e9-24799b41be60","colab":{"base_uri":"https://localhost:8080/"}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["5"]},"metadata":{},"execution_count":41}],"source":["2 + 2 + 1 # comment"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-PEWMGjBwvBK","executionInfo":{"status":"ok","timestamp":1688379916357,"user_tz":-120,"elapsed":358,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"9d592a3d-d831-4a2e-9915-8d7ee2a72a6d","colab":{"base_uri":"https://localhost:8080/"}},"outputs":[{"output_type":"stream","name":"stdout","text":["4\n","\n"]}],"source":["a = 4\n","print(a)\n","print(type(a))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"supDs9jswvBK","executionInfo":{"status":"ok","timestamp":1688379940286,"user_tz":-120,"elapsed":348,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"b019253c-e14b-46ab-f188-57c25b88d6cb","colab":{"base_uri":"https://localhost:8080/"}},"outputs":[{"output_type":"stream","name":"stdout","text":["5555\n","9000\n"]}],"source":["a,x = 5555, 9000 #a takes first value and x takes the last value that I have indicated\n","print(a)\n","print(x)\n"]},{"cell_type":"markdown","metadata":{"id":"n8Hf90H3wvBK"},"source":["Variables names can contain `a-z`, `A-Z`, `0-9` and some special character as `_` but must always begin by a letter. By convention, variables names are smallcase.\n","\n","\n","## Types\n","\n","\n","\n","\n","\n","\n","\n","\n","Variables are *weakly typed* in python which means that their type is deduced from the context: the initialization or the types of the variables used for its computation. Observe the following example.\n","\n","Python uses the keyword None to define null objects and variables (ej s = None)"]},{"cell_type":"code","source":["#Type None\n","s=None\n","print(s)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5omhKQj3SpEC","executionInfo":{"status":"ok","timestamp":1688380040002,"user_tz":-120,"elapsed":397,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}},"outputId":"b6d5de6b-c31e-46d8-8312-54679a21723a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["None\n"]}]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ymGkufo6wvBK","outputId":"92104e87-1845-46f1-a937-12d92ecd1cdf","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688378651312,"user_tz":-120,"elapsed":439,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Integer\n","3 \n","\n","Float\n","3.14 \n","\n","Complex\n","(3.14+2j) \n","3.14 \n","2.0 \n"]}],"source":["print(\"Integer\")\n","a = 3\n","print(a,type(a))\n","\n","print(\"\\nFloat\")\n","b = 3.14\n","print(b,type(b))\n","\n","print(\"\\nComplex\")\n","c = 3.14 + 2j\n","print(c,type(c))\n","print(c.real,type(c.real))\n","print(c.imag,type(c.imag))"]},{"cell_type":"markdown","metadata":{"id":"nSIfC4XhwvBK"},"source":["This typing can lead to some variable having unwanted types, which can be resolved by *casting*"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"iIEuwxLCwvBL","outputId":"a39a6714-5729-4d64-91fc-9277705440c6","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688380166049,"user_tz":-120,"elapsed":362,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["3.3333333333333335 \n","1.0 \n","1 \n"]}],"source":["#example for numbers with decimals (eg reals, rationals, etc)\n","e = 10/3 #rational number\n","print(e,type(e))\n","f = (10/3)/(10/3)\n","print(f,type(f))\n","f = int((10/3)/(10/3))\n","print(f,type(f))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ATk-lY7mwvBK","outputId":"f94fcb54-79e7-4969-ffe8-834bee8757c2","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688378657806,"user_tz":-120,"elapsed":342,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["(-1+0j) \n","-1.0 \n","-1 \n"]}],"source":["#example with complex numbers (EXTRA)\n","d = 1j*1j\n","print(d,type(d))\n","d = d.real\n","print(d,type(d))\n","d = int(d)\n","print(d,type(d))"]},{"cell_type":"markdown","metadata":{"id":"ilZzoXexwvBL"},"source":["## Operation on numbers\n","\n","The usual operations are\n","* Multiplication and Division with respecively `*` and `/`\n","* Exponent with `**`\n","* Modulo with `%`"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-iLiHhhtwvBL","outputId":"f94ff733-2b20-4470-81db-b531c92e7854","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688380250458,"user_tz":-120,"elapsed":356,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["21.0 \n"]}],"source":["print(7 * 3., type(7 * 3.)) # int x float -> float"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1FgoXz9ZwvBL","outputId":"f496cd98-6cc5-4e8b-d57e-29a19ba83ecb","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688380254825,"user_tz":-120,"elapsed":348,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["1.5 \n","1.5 \n"]}],"source":["print(3/2, type(3/2)) # Warning: int in Python 2, float in Python 3\n","print(3/2., type(3/2.)) # To be sure"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"aBe6bdsLwvBL","outputId":"f6023bf9-37a8-4a0f-8c3d-f4a6e8a7f241","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688380264639,"user_tz":-120,"elapsed":363,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["1024 \n"]}],"source":["print(2**10, type(2**10))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ovn2tUslwvBL","outputId":"a47c7471-77d8-4d43-965b-aebb4b962304","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688380280597,"user_tz":-120,"elapsed":350,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["0 \n"]}],"source":["print(8%2, type(8%2)) # % is the modulo -- >The modulo operator, when used with two positive integers, will return the remainder of standard Euclidean division: see more in https://realpython.com/python-modulo-operator/"]},{"cell_type":"markdown","metadata":{"id":"IeamJuMMwvBM"},"source":["## Booleans\n","\n","Boolean is the type of a variable `True` or `False` and thus are extremely useful when coding.\n","* They can be obtained by comparisons `>`, `>=` (greater, greater or égal), `<`, `<=` (smaller, smaller or equal) or membership `==` , `!=` (equality, different).\n","* They can be manipulated by the logical operations `and`, `not`, `or`."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"DCFgqHv1wvBM","outputId":"124e0cf4-d138-45e1-9b51-d0d957b224e4","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128820079,"user_tz":-120,"elapsed":344,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["2 > 1\t True\n","2 > 2\t False\n","2 >= 2\t True\n","2 == 2\t True\n","2 == 2.0 True\n","2 != 1.9 True\n"]}],"source":["print('2 > 1\\t', 2 > 1)\n","print('2 > 2\\t', 2 > 2)\n","print('2 >= 2\\t',2 >= 2)\n","print('2 == 2\\t',2 == 2)\n","print('2 == 2.0',2 == 2.0)\n","print('2 != 1.9',2 != 1.9)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"NIafApGiwvBM","outputId":"d264dfd6-873b-4c48-a511-217bc2f393f6","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128822725,"user_tz":-120,"elapsed":2,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["False\n","True\n","True\n"]}],"source":["print(True and False)\n","print(True or True)\n","print(not False)"]},{"cell_type":"markdown","metadata":{"id":"moX9JepswvBM"},"source":["## Lists\n","\n","Lists are the base element for sequences of variables in python, they are themselves a variable type.\n","* The syntax to write them is `[ ... , ... ]`\n","* The types of the elements may not be all the same\n","* The indices begin at $0$ (`l[0]` is the first element of `l`)\n","* Lists can be nested (lists of lists of ...)\n","\n","\n","*Warning:* Another type called *tuple* with the syntax `( ... , ... )` exists in Python. It has almost the same structure than list to the notable exceptions that one cannot add or remove elements from a tuple. We will see them briefly later"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"YUxFy2xpwvBM","outputId":"6a329b6f-c5f2-4f1a-ebca-123d13068568","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688144576324,"user_tz":-120,"elapsed":12,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 2, 3, [4, 8], True, 2.3] \n"]}],"source":["l = [1, 2, 3, [4,8] , True , 2.3]\n","print(l, type(l))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dGdQqNxxwvBM","outputId":"5e8ca066-82ef-4c97-b354-7d6dc197f342","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128835959,"user_tz":-120,"elapsed":336,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["1 \n","[4, 8] \n","8 \n"]}],"source":["print(l[0],type(l[0]))\n","print(l[3],type(l[3]))\n","print(l[3][1],type(l[3][1]))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"rA5UJTgvwvBM","outputId":"0025ab4e-4779-401b-f04b-a3981a7e7b55","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128838075,"user_tz":-120,"elapsed":2,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 2, 3, [4, 8], True, 2.3]\n","[True, 2.3]\n","[1, 2, 3, [4, 8], True]\n","[True]\n","[2, [4, 8], 2.3]\n","[2.3, True, [4, 8], 3, 2, 1]\n","2.3\n"]}],"source":["print(l)\n","print(l[4:]) # l[4:] is l from the position 4 (included)\n","print(l[:5]) # l[:5] is l up to position 5 (excluded)\n","print(l[4:5]) # l[4:5] is l between 4 (included) and 5 (excluded) so just 4\n","print(l[1:6:2]) # l[1:6:2] is l between 1 (included) and 6 (excluded) by steps of 2 thus 1,3,5\n","print(l[::-1]) # reversed order\n","print(l[-1]) # last element"]},{"cell_type":"markdown","metadata":{"id":"x8BttH40wvBN"},"source":["### Operations on lists\n","\n","One can add, insert, remove, count, or test if a element is in a list easily"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"giBVtWKdwvBN","outputId":"e87d6c19-342a-40c9-a930-57ec6afc80c6","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128840914,"user_tz":-120,"elapsed":344,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 2, 3, [4, 8], True, 2.3, 10]\n"]}],"source":["l.append(10) # Add an element to l (the list is not copied, it is actually l that is modified)\n","print(l)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"fPAuCMoWwvBN","outputId":"dafe8e33-086a-4dc9-9c79-20c0f8bf0bb8","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128843373,"user_tz":-120,"elapsed":413,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 'u', 2, 3, [4, 8], True, 2.3, 10]\n"]}],"source":["l.insert(1,'u') # Insert an element at position 1 in l (the list is not copied, it is actually l that is modified)\n","print(l)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"tPUZEjdqwvBN","outputId":"cdca430a-e1f1-4f57-92f1-98dbd183f3d4","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128845407,"user_tz":-120,"elapsed":2,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 'u', 2, 3, [4, 8], True, 2.3]\n"]}],"source":["l.remove(10) # Remove the first element 10 of l\n","print(l)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"MYT2Ie2HwvBN","outputId":"1e74fbc3-2c8d-42e4-9f46-0f836ad102aa","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128847259,"user_tz":-120,"elapsed":342,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["7\n","True\n"]}],"source":["print(len(l)) # length of a list\n","print(2 in l) # test if 2 is in l"]},{"cell_type":"markdown","metadata":{"id":"UkQDVTB-wvBN"},"source":["### Handling lists\n","\n","Lists are *pointer*-like types. Meaning that if you write `l2=l`, you *do not copy* `l` to `l2` but rather copy the pointer so modifying one, will modify the other.\n","\n","The proper way to copy list is to use the dedicated `copy` method for list variables."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"nel-I_a1wvBN","outputId":"0db24a5a-edd7-45a9-dc3b-182a94260465","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128849789,"user_tz":-120,"elapsed":345,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 'u', 2, 3, [4, 8], True, 2.3, 'Something'] [1, 'u', 2, 3, [4, 8], True, 2.3, 'Something']\n"]}],"source":["l2 = l\n","l.append('Something')\n","print(l,l2)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"F4_-QwcYwvBN","outputId":"9b6bad49-a296-4ebd-fd0b-f9008feac3d7","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128851735,"user_tz":-120,"elapsed":473,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 'u', 2, 3, [4, 8], True, 2.3] [1, 'u', 2, 3, [4, 8], True, 2.3, 'Something']\n"]}],"source":["l3 = list(l) # l.copy() works in Python 3\n","l.remove('Something')\n","print(l,l3)"]},{"cell_type":"markdown","metadata":{"id":"ApdEqVlPwvBO"},"source":["You can have void lists and concatenate list by simply using the + operator, or even repeat them with * ."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"PYPmV4ZhwvBO","outputId":"8580e389-f16a-4f86-d8a8-9a22069612e7","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128858397,"user_tz":-120,"elapsed":344,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 'u', 2, 3, [4, 8], True, 2.3, 4, 8, 10.9865]\n","[4, 8, 10.9865, 4, 8, 10.9865, 4, 8, 10.9865]\n"]}],"source":["l4 = []\n","l5 =[4,8,10.9865]\n","print(l+l4+l5)\n","print(l5*3) #replicate the list 3 times"]},{"cell_type":"markdown","metadata":{"id":"gXbpvOK8wvBO"},"source":["## Tuples, Dictionaries [*]\n","\n","\n","* Tuples are similar to list but are created with `(...,...)` or simply comas. They cannot be changed once created.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ohewwqGTwvBO","outputId":"c3f1debe-f347-4b86-9d82-8e01ffde05df","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128861238,"user_tz":-120,"elapsed":343,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["(1, 'b', 876876.908) \n","1\n"]}],"source":["t = (1,'b',876876.908)\n","print(t,type(t))\n","print(t[0])"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"n8POUxP9wvBO","outputId":"7f6c12f5-fac5-485f-a9bd-87c01923f454","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381068453,"user_tz":-120,"elapsed":437,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["12 [987, 98987] (12, [987, 98987])\n"]}],"source":["a,b = 12,[987,98987]\n","u = a,b\n","print(a,b,u)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"UJ50fPfLwvBO","outputId":"2a5763db-01c0-4706-864c-d6f314350582","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381070431,"user_tz":-120,"elapsed":5,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["'tuple' object does not support item assignment\n"]}],"source":["try:\n"," u[1] = 2\n","except Exception as error:\n"," print(error)"]},{"cell_type":"markdown","metadata":{"id":"bu2Cs0b1wvBO"},"source":["* Dictionaries are aimed at storing values of the form *key-value* with the syntax `{key1 : value1, ...}`\n","\n","This type is often used as a return type in librairies."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"k8MjPsekwvBP","outputId":"09e3a0c4-cd50-4a63-8a7d-413f6ce73e7c","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381100082,"user_tz":-120,"elapsed":341,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["{'param1': 1.0, 'param2': True, 'param3': 'red'} \n"]}],"source":["d = {\"param1\" : 1.0, \"param2\" : True, \"param3\" : \"red\"}\n","print(d,type(d))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3M8-bPGXwvBP","outputId":"988494ff-7872-44b9-c5c2-2196b02d3614","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381102715,"user_tz":-120,"elapsed":330,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["1.0\n","{'param1': 2.4, 'param2': True, 'param3': 'red'}\n"]}],"source":["print(d[\"param1\"])\n","d[\"param1\"] = 2.4\n","print(d)"]},{"cell_type":"markdown","metadata":{"id":"3gU3cGiYwvBP"},"source":["## Strings and text formatting\n","\n","\n","* Strings are delimited with (double) quotes. They can be handled globally the same way as lists (see above).\n","* print displays (tuples of) variables (not necessarily strings).\n","* To include variable into string, it is preferable to use the format method.\n","\n","*Warning:* text formatting and notably the `print` method is one of the major differences between Python 2 and Python 3. The method presented here is clean and works in both versions."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ynhOy5jfwvBP","outputId":"2951a58f-807d-4caf-f4cd-e1cf20f8fcd9","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381119172,"user_tz":-120,"elapsed":363,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["test \n"]}],"source":["s = \"test\"\n","print(s,type(s))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"FkkGTrzTwvBP","outputId":"ecdc80de-051d-480b-9391-e5040df9d0bd","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381143144,"user_tz":-120,"elapsed":343,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["t\n","test42\n"]}],"source":["print(s[0])\n","print(s + \"42\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"c8Sh0CjjwvBQ","outputId":"bda989d8-bace-4435-f7e1-5c6f2252bf45","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381161924,"user_tz":-120,"elapsed":330,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["test 42\n","test42\n"]}],"source":["print(s,42)\n","print(s+\"42\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8lUMIAmrwvBQ","outputId":"81fc66ca-4f0c-4438-931b-cb087f6d8933","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381173181,"user_tz":-120,"elapsed":333,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["can only concatenate str (not \"int\") to str\n"]}],"source":["try:\n"," print(s+42)\n","except Exception as error:\n"," print(error)"]},{"cell_type":"markdown","metadata":{"id":"xtQyHze9wvBQ"},"source":["The `format` method"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"5O6lNiZUwvBR","outputId":"79bd3ab5-1012-45eb-a2d2-d4b27b67dbe3","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128913638,"user_tz":-120,"elapsed":335,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["test 42\n"]}],"source":["print( \"test {}\".format(42) ) #The format() method formats the specified value(s) and insert them inside the string's placeholder."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"OiC7I81swvBR","outputId":"58f4d5cb-3358-44ef-d39f-42584988f6f8","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381567664,"user_tz":-120,"elapsed":332,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["My name is John, I'm 36\n","My name is John, I'm 36\n","My name is John, I'm 36\n"]}],"source":["#Using different placeholder values:\n","\n","txt1 = \"My name is {fname}, I'm {age}\".format(fname = \"John\", age = 36)\n","txt2 = \"My name is {0}, I'm {1}\".format(\"John\",36)\n","txt3 = \"My name is {}, I'm {}\".format(\"John\",36)\n","\n","print(txt1)\n","print(txt2)\n","print(txt3)"]},{"cell_type":"markdown","metadata":{"id":"5TH7LxaKwvBR"},"source":["# 3- Branching and Loops\n","\n","\n","## If, Elif, Else\n","\n","In Python, the formulation for branching is the `if:` condition (mind the `:`) followed by an indentation of *one tab* that represents what is executed if the condition is true. **The indentation is primordial and at the core of Python.**\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"jI0XZgizwvBR","outputId":"69a5fc4f-7754-483f-8f98-218bb39ea9a6","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381603959,"user_tz":-120,"elapsed":341,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["statement1 and statement2 are False\n"]}],"source":["statement1 = False\n","statement2 = False\n","\n","if statement1:\n"," print(\"statement1 is True\")\n","elif statement2:\n"," print(\"statement2 is True\")\n","else:\n"," print(\"statement1 and statement2 are False\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"IqTk8wipwvBR","outputId":"8ad12066-41a6-4d7e-d410-b45da6e738d2","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381620844,"user_tz":-120,"elapsed":344,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["both statement1 and statement2 are True\n"]}],"source":["statement1 = statement2 = True\n","\n","if statement1:\n"," if statement2:\n"," print(\"both statement1 and statement2 are True\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"7IZ-kXtiwvBS","outputId":"6a4d2826-c127-4eb8-a2ce-b72dbeb8e953","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381663731,"user_tz":-120,"elapsed":393,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["here it is ok\n","after the previous line, here also\n"]}],"source":["if statement1:\n"," if statement2: # Bad indentation!\n"," #print(\"both statement1 and statement2 are True\") # Uncommenting Would cause an error\n"," print(\"here it is ok\")\n"," print(\"after the previous line, here also\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"pmG_BzylwvBS","outputId":"d48a60c5-6cba-43f7-b621-ead8f94ce45a","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381689408,"user_tz":-120,"elapsed":373,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["printed if statement1 is True\n","still inside the if block\n"]}],"source":["statement1 = True\n","\n","if statement1:\n"," print(\"printed if statement1 is True\")\n","\n","\n","\n"," print(\"still inside the if block\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"T-Bs5Py3wvBS","outputId":"234d36be-95a3-4e38-c461-bbecd0638f62","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381705179,"user_tz":-120,"elapsed":346,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["outside the if block\n"]}],"source":["statement1 = False\n","\n","if statement1:\n"," print(\"printed if statement1 is True\")\n","\n","print(\"outside the if block\")"]},{"cell_type":"markdown","metadata":{"id":"Qgxx-rdFwvBS"},"source":["## For loop\n","\n","The syntax of `for` loops is `for x in something:` followed by an indentation of one tab which represents what will be executed.\n","\n","The `something` above can be of different nature: list, dictionary, etc."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"FGQYt7bLwvBS","outputId":"fb8878e9-d0d2-476b-9eaf-928b630a5be8","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381717971,"user_tz":-120,"elapsed":377,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["1\n","2\n","3\n"]}],"source":["for x in [1, 2, 3]:\n"," print(x)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Oqib2NwcwvBS","outputId":"e1b3b85e-5b2a-46b1-e60c-cf4180dd1042","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381740399,"user_tz":-120,"elapsed":470,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Python for data Science \n"]}],"source":["sentence = \"\"\n","for word in [\"Python\", \"for\", \"data\", \"Science\"]:\n"," sentence = sentence + word + \" \" #\" \" is the white space\n","print(sentence)"]},{"cell_type":"markdown","metadata":{"id":"QcF9tzM5wvBS"},"source":["A useful function is range which generated sequences of numbers that can be used in loops."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"EDhbzzitwvBW","outputId":"19c3b8c2-f558-45b0-c555-62d214c46641","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381793588,"user_tz":-120,"elapsed":351,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Range (from 0) to 4 (excluded) \n","0\n","1\n","2\n","3\n","Range from 2 (included) to 6 (excluded) \n","2\n","3\n","4\n","5\n","Range from 1 (included) to 12 (excluded) by steps of 3 \n","1\n","4\n","7\n","10\n"]}],"source":["print(\"Range (from 0) to 4 (excluded) \")\n","for x in range(4):\n"," print(x)\n","\n","print(\"Range from 2 (included) to 6 (excluded) \")\n","for x in range(2,6):\n"," print(x)\n","\n","print(\"Range from 1 (included) to 12 (excluded) by steps of 3 \")\n","for x in range(1,12,3):\n"," print(x)"]},{"cell_type":"markdown","metadata":{"id":"djz2ywHQwvBW"},"source":["If the index is needed along with the value, the function `enumerate` is useful."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Biza3eHLwvBX","outputId":"4825122e-7544-4c7e-8120-215f5b4b1815","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688381859144,"user_tz":-120,"elapsed":2,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["range(-3, 3)\n","0 -3\n","1 -2\n","2 -1\n","3 0\n","4 1\n","5 2\n"]}],"source":["#range(-3,3) = -3 -2 -1 0 1 2\n","for idx, x in enumerate(range(-3,3)): #idx is the order\n"," print(idx, x)"]},{"cell_type":"markdown","metadata":{"id":"YE82dRECwvBX"},"source":["## While loop\n","\n","Similarly to `for` loops, the syntax is`while condition:` followed by an indentation of one tab which represents what will be executed."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"fD8h97wewvBX","outputId":"f2bcc55a-a836-4d06-e807-8301be1562b0","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688382069608,"user_tz":-120,"elapsed":332,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["0\n","1\n","2\n","3\n","4\n"]}],"source":["i = 0\n","\n","while i<5:\n"," print(i)\n"," i+=1"]},{"cell_type":"markdown","metadata":{"id":"nHqAhVnDwvBY"},"source":["## Try [*]\n","\n","When a command may fail, you can `try` to execute it and optionally catch the `Exception` (i.e. the error).\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"4uia5ZUAwvBZ","outputId":"35d8b458-f555-4860-874e-05182ca675df","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688382102416,"user_tz":-120,"elapsed":474,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 2, 3]\n","command ok\n","[1, 3, 3]\n","list assignment index out of range\n","[1, 3, 3]\n"]}],"source":["a = [1,2,3]\n","print(a)\n","\n","try:\n"," a[1] = 3\n"," print(\"command ok\")\n","except Exception as error:\n"," print(error)\n","\n","print(a) # The command went through\n","\n","try:\n"," a[6] = 3\n"," print(\"command ok\")\n","except Exception as error:\n"," print(error)\n","\n","print(a) # The command failed"]},{"cell_type":"markdown","metadata":{"id":"PFFhZczVwvBZ"},"source":["# 4- Functions\n","\n","\n","In Python, a function is defined as `def function_name(function_arguments):` followed by an indentation representing what is inside the function. (No return arguments are provided a priori)\n","\n"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"vA8zpStmwvBZ","outputId":"44516666-0be7-45a1-8dfa-18b78b4851db","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688460327123,"user_tz":-120,"elapsed":5,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["\"fun0\" just prints\n"]}],"source":["def fun0():\n"," print(\"\\\"fun0\\\" just prints\") #a line of white space to leave the function\n","\n","fun0()"]},{"cell_type":"markdown","metadata":{"id":"s056NqA3wvBa"},"source":["Docstring can be added to document the function, which will appear when calling `help`"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"HE2Mfj3dwvBa","outputId":"ddda94cb-1d89-4fb7-dfec-c7c097c617bc","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688460331700,"user_tz":-120,"elapsed":5,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 'iuoiu', True] is of length 3\n"]}],"source":["def fun1(l):\n"," \"\"\"\n"," Prints a list and its length\n"," \"\"\"\n"," print(l, \" is of length \", len(l))\n","\n","fun1([1,'iuoiu',True]) #[1,'iuoiu',True] is a list as an argument"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"-K-aP5D3wvBb","outputId":"3c3511ed-5111-45a1-d64e-dd0d03bc3e2e","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688460385871,"user_tz":-120,"elapsed":222,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Help on function fun1 in module __main__:\n","\n","fun1(l)\n"," Prints a list and its length\n","\n"]}],"source":["help(fun1)"]},{"cell_type":"markdown","metadata":{"id":"XLSexI2SwvBb"},"source":["## Outputs\n","\n","`return` outputs a variable, tuple, dictionary, ..."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"4JJkiRuYwvBc","outputId":"91f9279b-9e4c-41f9-f360-42d749be565f","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688382233263,"user_tz":-120,"elapsed":359,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Help on function square in module __main__:\n","\n","square(x)\n"," Return x squared.\n","\n","144\n"]}],"source":["def square(x):\n"," \"\"\"\n"," Return x squared.\n"," \"\"\"\n"," return(x ** 2)\n","\n","help(square)\n","res = square(12)\n","print(res)"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"ypn4sR2YwvBc","outputId":"80200fe8-b248-459b-ca85-453f9732c190","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688460549094,"user_tz":-120,"elapsed":206,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Help on function powers in module __main__:\n","\n","powers(x)\n"," Return the first powers of x.\n","\n"]}],"source":["def powers(x):\n"," \"\"\"\n"," Return the first powers of x.\n"," \"\"\"\n"," return(x ** 2, x ** 3, x ** 4)\n","\n","help(powers)"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"WJH9yRqCwvBd","outputId":"6c1cc4a4-efc1-4547-bb41-9c7442988bff","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688460551370,"user_tz":-120,"elapsed":275,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["(144, 1728, 20736) \n"]}],"source":["res = powers(12) #use function powers, res is a tuple\n","print(res, type(res))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dzxaaOvLwvBd","outputId":"71cdcba9-32d9-4dcb-eb9f-d64c9af5fdd0","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128963600,"user_tz":-120,"elapsed":1,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["27 \n"]}],"source":["two,three,four = powers(3) #each element of the tuple of results obtained are integers\n","print(three,type(three))"]},{"cell_type":"code","execution_count":7,"metadata":{"id":"3GfxXGGKwvBd","outputId":"daa0e248-3887-4548-c82f-c07e3ced5ee5","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688460756351,"user_tz":-120,"elapsed":228,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["{'two': 144, 'three': 1728, 'four': 20736} \n","144 \n"]}],"source":["def powers_dict(x): #more complex function, use on a dictionary\n"," \"\"\"\n"," Return the first powers of x as a dictionary.\n"," \"\"\"\n"," return{\"two\": x ** 2, \"three\": x ** 3, \"four\": x ** 4}\n","\n","\n","res = powers_dict(12)\n","print(res, type(res))\n","print(res[\"two\"],type(res[\"two\"]))"]},{"cell_type":"markdown","metadata":{"id":"T7B50aDRwvBd"},"source":["## Arguments\n","\n","It is possible to\n","* Give the arguments in any order provided that you write the corresponding argument variable name\n","* Set defaults values to variables so that they become optional"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"_vEoLuZmwvBe"},"outputs":[],"source":["def fancy_power(x, p=2, debug=False): #by defect p=2\n"," \"\"\"\n"," Here is a fancy version of power that computes the square of the argument or other powers if p is set\n"," \"\"\"\n"," if debug:\n"," print( \"\\\"fancy_power\\\" is called with x =\", x, \" and p =\", p)\n"," return(x**p)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8Fyax-dLwvBe","outputId":"215223b0-71ac-4fc7-8669-942cac9dfd64","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128972431,"user_tz":-120,"elapsed":324,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["25\n","125\n"]}],"source":["print(fancy_power(5))\n","print(fancy_power(5,p=3))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"L--TAG4BwvBe","outputId":"9bc33b24-806b-448e-8c63-fae95ad64f76","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128974757,"user_tz":-120,"elapsed":342,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["\"fancy_power\" is called with x = 2 and p = 8\n","256\n"]}],"source":["res = fancy_power(p=8,x=2,debug=True) #activate debug\n","print(res)"]},{"cell_type":"markdown","metadata":{"id":"IEY1HrvtwvBf"},"source":["# 5- Classes [*]\n","\n","\n","Classes are at the core of *object-oriented* programming (see in https://www.freecodecamp.org/news/object-oriented-programming-in-python/), they are used to represent an object with related *attribues* (variables) and *methods* (functions).\n","\n","They are defined as functions but with the keyword class `class my_class(object):` followed by an indentation. The definition of a class usually contains some methods:\n","* The first argument of a method must be `self` in auto-reference.\n","* Some method names have a specific meaning:\n"," * `__init__`: method executed at the creation of the object\n"," * `__str__` : method executed to represent the object as a string for instance when the object is passed ot the function `print`\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"00IZquM9wvBf"},"outputs":[],"source":["class Point(object):\n"," \"\"\"\n"," Class of a point in the 2D plane.\n"," \"\"\"\n"," def __init__(self, x=0.0, y=0.0):\n"," \"\"\"\n"," Creation of a new point at position (x, y).\n"," \"\"\"\n"," self.x = x\n"," self.y = y\n","\n"," def translate(self, dx, dy):\n"," \"\"\"\n"," Translate the point by (dx , dy).\n"," \"\"\"\n"," self.x += dx\n"," self.y += dy\n","\n"," def __str__(self):\n"," return(\"Point: ({:.2f}, {:.2f})\".format(self.x, self.y))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"gclQkotqwvBf","outputId":"93051245-3a67-4ae3-f524-ea1e4bb00931","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1688128988392,"user_tz":-120,"elapsed":335,"user":{"displayName":"toni Monleon","userId":"05269440626861479105"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Point: (0.00, 0.00)\n","Point: (3.00, 2.00)\n","Point: (1.20, 3.00)\n"]}],"source":["p1 = Point()\n","print(p1)\n","\n","p1.translate(3,2)\n","print(p1)\n","\n","p2 = Point(1.2,3)\n","print(p2)"]},{"cell_type":"markdown","source":["# Proposed exercises\n","\n","Data Exploration with Descriptive Statistics and Visualizations\n","This is a sample solution for the data exploration exercise. This does not mean that this is the only way to solve this exercise. As with any programming task - and also with most data analysis tasks - there are multiple solutions for the same problem."],"metadata":{"id":"DLKAByHiIS77"}},{"cell_type":"markdown","source":["See in https://sherbold.github.io/intro-to-data-science/exercises/Solution_Data_Exploration.html\n"],"metadata":{"id":"u8Fi1Oi9IaT7"}}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.8.10"},"varInspector":{"cols":{"lenName":16,"lenType":16,"lenVar":40},"kernels_config":{"python":{"delete_cmd_postfix":"","delete_cmd_prefix":"del ","library":"var_list.py","varRefreshCmd":"print(var_dic_list())"},"r":{"delete_cmd_postfix":") ","delete_cmd_prefix":"rm(","library":"var_list.r","varRefreshCmd":"cat(var_dic_list()) "}},"types_to_exclude":["module","function","builtin_function_or_method","instance","_Feature"],"window_display":false},"colab":{"provenance":[]}},"nbformat":4,"nbformat_minor":0}