Python for Data Science
For a standard Python tutorial go to Python
Contents
Courses
- Udemy - 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/
Anaconda comes with a few IDE
- Jupyter Lab
- Jupyter Notebook
- Spyder
- Qtconsole
- and others
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(); } }) ;
});
});
This is a good post: https://forums.fast.ai/t/jupyter-notebook-enhancements-tips-and-tricks/17064
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/projects/595bf475-61a7-47fa-af69-ba804c3f23f9/files/?session=default
- Parece bueno, pero tiene opciones que no son gratis
- https://www.kaggle.com/adeloaleman/kernel1917a91630/edit
- Parece bueno pero no encontré la forma adicionar una TOC
-
- Es el que estoy utilizando ahora
Some remarks
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
NumPy and Pandas
Data Visualization with Python
Natural Language Processing
Dash - Plotly
Scrapy