Python for Data Science

For a standard Python tutorial go to Python

Courses

Udemy - Python for Data Science and Machine Learning Bootcamp

https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/

Anaconda

Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications (large-scale data processing, predictive analytics, scientific computing), that aims to simplify package management and deployment. Package versions are managed by the package management system conda. https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)

En otras palabras, Anaconda puede ser visto como un paquete (a distribution) que incluye no solo Python (or R) but many libraries that are used in Data Science, as well as its own virtual environment system. It's an "all-in-one" install that is extremely popular in data science and Machine Learning.Creating sample array for the following examples:

Installation

Installation from the official Anaconda Web site: https://docs.anaconda.com/anaconda/install/

https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/

https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-18-04

Anaconda comes with a few IDE

Jupyter Lab
Jupyter Notebook
Spyder
Qtconsole
and others

Anaconda Navigator

Anaconda Navigator is a GUI that helps you to easily start important applications and manage the packages in your local Anaconda installation

You can open the Anaconda Navigator from the Terminal:

anaconda-navigator

Jupyter

Jupyter comes with Anaconda.

It is a development environment (IDE) where we can write codes; but it also allows us to display images, and write down markdown notes.

It is the most popular IDE in data science for exploring and analyzing data.

Other famoues IDE for Python are Sublime Text and PyCharm.

There is Jupyter Lab and Jupyter Notebook

Customize Jupyter

https://github.com/dunovank/jupyter-themes

jt   -t oceans16     -cellw 99%   -lineh 120   -fs 14   -nfs 14   -dfs 14   -ofs 14

This is very nice to add text automatically into a cell: https://forums.fast.ai/t/jupyter-notebook-enhancements-tips-and-tricks/17064/27

Jupyter.keyboard_manager.edit_shortcuts.add_shortcut('Ctrl-Shift-J', {
    help : 'add details drop',
    help_index : 'zz',
    handler : function (event) {
        var target = Jupyter.notebook.get_selected_cell()
        var cursor = target.code_mirror.getCursor()
        var before = target.get_pre_cursor()
        var after = target.get_post_cursor()
        target.set_text(before + 'from IPython.core.display import display, HTML; \n\taverrrdisplay(HTML("<style>.container { width:98% !important;}</style>"))' + after)
        cursor.ch += 20 // where to put your cursor
        target.code_mirror.setCursor(cursor)
        return false;
    }}
);

This is to enable syntax highlighting for SQL code: https://stackoverflow.com/questions/43641362/adding-syntax-highlighting-to-jupyter-notebook-cell-magic

require(['notebook/js/codecell'], function(codecell) {
  codecell.CodeCell.options_default.highlight_modes['magic_text/x-mssql'] = {'reg':[/^%%sql/]} ;
  Jupyter.notebook.events.one('kernel_ready.Kernel', function(){
  Jupyter.notebook.get_cells().map(function(cell){
      if (cell.cell_type == 'code'){ cell.auto_highlight(); } }) ;
  });
});