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

This is a good post: https://forums.fast.ai/t/jupyter-notebook-enhancements-tips-and-tricks/17064

Keyboard Shortcut Customization: https://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Custom%20Keyboard%20Shortcuts.html

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(); } }) ;
  });
});

custom.js

// Mis configuraciones

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(); } }) ;
  });
});



Jupyter.keyboard_manager.command_shortcuts.add_shortcut('t', {
    help : 'run cell',
    help_index : 'zz',
    handler : function (event) {
        IPython.notebook.kernel.execute("print('hola')");
        return false;
    }}
);



Jupyter.keyboard_manager.edit_shortcuts.add_shortcut('Ctrl-Shift-J', {
    help : 'add details drop',
    help_index : 'zz',
    handler : function (event) {
        document.body.style.background = 'blue'
        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;
    }}
);



Jupyter.keyboard_manager.command_shortcuts.add_shortcut('Alt-Ctrl-Q', {
    help : 'add details drop',
    help_index : 'zz',
    handler : function (event) {
        var input_promp_fields = document.getElementsByClassName("input_prompt");
        var input_area_fields  = document.getElementsByClassName("input_area");
        var cell_fields        = document.getElementsByClassName("cell");
        
        if (input_promp_fields[0].style.visibility == "collapse"){
            action = "visible";
            input_marginLeft = "0px";
            border_top  = "3px";
            cell_margin = "0px";
        }else{
            action = "collapse";
            input_marginLeft = "-50px";
            border_top  = "0px";
            cell_margin = "-5px";
        }
        
        for(i = 0; i < input_promp_fields.length; i++) {
            input_promp_fields[i].style.visibility = action;
            input_area_fields[i].style.marginLeft  = input_marginLeft;
            cell_fields[i].style.borderTopWidth    = border_top;
            cell_fields[i].style.borderBottomWidth = border_top;
            // cell_fields[i].style.marginBottom      = cell_margin;
            // cell_fields[i].style.marginTop         = cell_margin;
        }
        return false;
    }}
);


// To get the real value of a css field: https://stackoverflow.com/questions/26074476/document-body-style-backgroundcolor-doesnt-work-with-external-css-style-sheet
// window.getComputedStyle(document.body).backgroundColor
// window.getComputedStyle(document.getElementsByClassName("input_area")[0]).backgroundColor

custom.css

/*  Mis configuraciones  */

/*div.prompt.input_prompt {
 display:none !important;   
}*/

.container { width:98% !important; }
/* document.getElementById("notebook-container").style.minWidth = "50%"; */
/* document.getElementById("notebook-container").style.maxWidth = "50%"; */

#notebook-container {
 width:98% !important;
}

Online Jupyter

There are many sites that provides solutions to run your Jupyter Notebook in the cloud: https://www.dataschool.io/cloud-services-for-jupyter-notebook/

I have tried:

• https://cocalc.com/app

https://cocalc.com/projects/595bf475-61a7-47fa-af69-ba804c3f23f9/files/?session=default

Parece bueno, pero tiene opciones que no son gratis

• https://www.kaggle.com/

https://www.kaggle.com/adeloaleman/kernel1917a91630/edit

Parece bueno pero no encontré la forma adicionar una TOC

• https://drive.google.com

• https://colab.research.google.com

Es el que estoy utilizando ahora

Some remarks

Executing Terminal Commands in Jupyter Notebooks

https://support.anaconda.com/hc/en-us/articles/360023858254-Executing-Terminal-Commands-in-Jupyter-Notebooks

If we are in the Notebook, and we want to run a shell command rather than a notebook command we use the !

Try, for example:

!ls or
!pwd

It's the same as if you opened up a terminal and typed it without the !

Creating Presentations in Jupyter Notebook with RevealJS

Some of the most popular Python Data Science Libraries

• NumPy
• SciPy
• Pandas
• Seaborn
• SciKit'Learn
• MatplotLib
• Plotly
• PySpartk