Difference between revisions of "Python for Data Science"
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Connecting to a database in Jupyter | Connecting to a database in Jupyter | ||
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Latest revision as of 14:47, 11 September 2024
For a standard Python tutorial go to Python
Contents
- 1 Courses
- 2 Anaconda
- 3 Jupyter
- 4 Some of the most popular Python Data Science Libraries
- 5 NumPy and Pandas
- 6 Data Visualization with Python
- 7 Natural Language Processing
- 8 Dash - Plotly
- 9 Scrapy
- 10 Using SQL in Jupyter
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/
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
Remote connection
https://jupyter-notebook.readthedocs.io/en/stable/public_server.html
A**1
(base) adelo@vmi346715:~/.jupyter$ openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout mykey.key -out mycert.pem
Generating a RSA private key
......................................+++++
....................................+++++
writing new private key to 'mykey.key'
-----
You are about to be asked to enter information that will be incorporated
into your certificate request.
What you are about to enter is what is called a Distinguished Name or a DN.
There are quite a few fields but you can leave some blank
For some fields there will be a default value,
If you enter '.', the field will be left blank.
-----
Country Name (2 letter code) [AU]:IE
State or Province Name (full name) [Some-State]:Dublin
Locality Name (eg, city) []:Dublin
Organization Name (eg, company) [Internet Widgits Pty Ltd]:.
Organizational Unit Name (eg, section) []:.
Common Name (e.g. server FQDN or YOUR name) []:sinfronteras
Email Address []:adeloaleman@gmail.com
- GitHub:
- https://docs.github.com/en/github/managing-files-in-a-repository/working-with-jupyter-notebook-files-on-github
- Example: https://github.com/adeloaleman/AmazonLaptopsDashboard/blob/master/DataAnalysis/data_analysis2.ipynb
- 'Nbviewer
- https://nbviewer.jupyter.org/
- Example: https://nbviewer.jupyter.org/github/bokeh/bokeh-notebooks/blob/main/tutorial/06%20-%20Linking%20and%20Interactions.ipynb
Customize Jupyter
Themes
https://github.com/dunovank/jupyter-themes
Ver el tema que muestran en esta página: https://gist.github.com/pierrejoubert73/902cc94d79424356a8d20be2b382e1ab
jt -t oceans16 -cellw 98% -lineh 120 -fs 14 -nfs 14 -dfs 14 -ofs 14
https://www.kaggle.com/getting-started/97540
jt -t monokai -cellw 98% -lineh 120 -fs 14 -nfs 14 -dfs 14 -ofs 14 -f fira -nf ptsans -N -kl -cursw 2 -cursc r -T
Extensions
This post mention so nice extension and configuration that can be done: https://towardsdatascience.com/bringing-the-best-out-of-jupyter-notebooks-for-data-science-f0871519ca29
Unofficial Jupyter Notebook Extensions
https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/index.html
This is very important. There are very nice extensions in this package:
- toc2: https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/nbextensions/toc2/README.html
- Collapsible Headings
- ... etc
Installation
https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/install.html
I had some issues to install it. La format indicada por defecto:
pip install jupyter_contrib_nbextensions jupyter contrib nbextension install --user
A través de la forma anterior no pude instalar el paquete de forma correcta. La instalación no retornó errorres, y la extensión se mostraba en Jupyter-notebook pero no podía activar "enable" las extensiones.
Al parecer es un problema con la ubicación de la instalación. Yo estaba usando conda pero conda está presentando problemas. La instalación de los paquestes demora muchísimo y luego el paquete parece no estar disponible.
En el siguiente post encontré una solución para instalar nbextension usando pip:
https://github.com/ipython-contrib/jupyter_contrib_nbextensions/issues/1127
pip install --upgrade jupyter_contrib_nbextensions jupyter contrib nbextension install --sys-prefix --symlink
«--symlink» creo que lo usé pero no estoy completamente seguro. También realicé el --upgrade pero creo que la diferencia la hicieron las opciones --sys-prefix --symlink
Si no se muestra la Nbextensions tab (), try to reinstall the https://github.com/Jupyter-contrib/jupyter_nbextensions_configurator
pip install jupyter_nbextensions_configurator
or
conda install -c conda-forge jupyter_nbextensions_configurator
CustomJS and CustonCSS files
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
custom.js
/** Mis configuraciones */
// 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(); } }) ;
});
});
// My plain theme
// This is a good post where I took some ideas to write the following fuction: https://forums.fast.ai/t/jupyter-notebook-enhancements-tips-and-tricks/17064
function plainTheme() {
var input_promp_fields = document.getElementsByClassName("prompt_container");
var text_render_fields = document.getElementsByClassName("text_cell_render");
if (input_promp_fields[0].style.visibility == "collapse"){
action = "visible";
input_marginLeft = "0px";
border_top = "3px";
prompt_width = "74px";
padding_top = "0px";
output_margin = "40px";
}else{
action = "collapse";
input_marginLeft = "74px";
border_top = '0px';
prompt_width = "74px";
padding_top = "40px";
output_margin = "40px";
}
// Si queremos usar !important debemos hacerlo de esta forma utilizando JQuery:
// https://makitweb.com/how-to-add-important-to-css-property-with-jquery/
var text_cell_fields = document.getElementsByClassName("text_cell");
$(text_cell_fields).ready(function(){
$('.input_prompt').css({
'cssText': `width: 40px !important; max-width: ${prompt_width} !important; min-width: ${prompt_width} !important;`
});
});
$(document).ready(function(){
$(".prompt_container").css(
'visibility', `${action}`
);
$(".input").css(
'padding-left', `${input_marginLeft}`
);
$(".output_subarea").css(
'margin-left', `${output_margin}`
);
$('.cell').css({
'cssText': `border-top-width: ${border_top} !important; border-bottom-width: ${border_top} !important;`
});
$(".collapsible_headings_ellipsis").css({
'cssText': `padding-top:${padding_top} !important; border-top-width: ${border_top} !important; border-bottom-width: ${border_top} !important;`
});
$(".text_cell_render").css({
'cssText': `margin-left: -10px;`
});
});
}
Jupyter.keyboard_manager.command_shortcuts.add_shortcut('Alt-Ctrl-Q', {
help : '...',
help_index : 'zz',
handler : function (event) {
plainTheme();
return false;
}}
);
Jupyter.keyboard_manager.edit_shortcuts.add_shortcut('Alt-Ctrl-Q', {
help : '...',
help_index : 'zz',
handler : function (event) {
plainTheme();
return false;
}}
);
// This could be very usefull. It allows 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 : '...',
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;
}}
);
// 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 */
.container { width:98% !important; }
/* document.getElementById("notebook-container").style.minWidth = "50%"; */
/* document.getElementById("notebook-container").style.maxWidth = "50%"; */
#notebook-container {
width:98% !important;
}
.CodeMirror-gutters {
background-color: transparent !important;
background: transparent !important;
}
.CodeMirror-linenumber {
margin-left: -20px !important;
}
.output_subarea {
margin-left: 40px !important;
}
#toc .fa-fw {
color: blue !important;
}
#toc .highlight_on_scroll {
margin-left: -4px !important;
}
#toc {
padding-left: 10px !important;
}
/* I have also changed the color
/* #a6e22e by #388bfd
* in the entire custom.css
*/
/* I have also chenged some of the properties of the toc directly above in the code:
#toc-wrapper {
z-index: 90;
position: fixed !important;
display: flex;
flex-direction: column;
overflow: hidden;
padding: 10px;
padding-top: 40px !important;
border-style: solid;
border-width: thin;
border-right-width: medium !important;
background-color: #1e1e1e !important;
}
#toc-wrapper.ui-draggable.ui-resizable.sidebar-wrapper {
border-color: rgba(93,92,82,.25) !important;
}
#toc a,
#navigate_menu a,
.toc {
color: #f8f8f0 !important;
font-size: 16pt !important;
}
#toc li > span:hover {
background-color: rgba(93,92,82,.25) !important;
}
#toc a:hover,
#navigate_menu a:hover,
.toc {
color: #DAA520 !important;
font-size: 16pt !important;
}
#toc-wrapper .toc-item-num {
color: #388bfd !important;
font-size: 16pt !important;
}
*/
Configurations from the Juniper notebook
from IPython.core.display import display, HTML;
display(HTML("<style>.container { width:98% !important;}</style>"<))
display(HTML('<style>.prompt.input_prompt{display:none !important;}</style>'))
display(HTML('<style>.prompt.input_prompt{visibility: visible !important;</style>'))
display(HTML('<style>.prompt.input_prompt{margin-left8kmclustering.ipynb 50px}</style>'))
display(HTML('<style>.prompt.input_prompt{visibility: visible !important; width: 0px !important; min-width: 0px !important}</style>'))
display(HTML('<style>.input_area{margin-left: -50px;}</style>'))
display(HTML('<style>.input{margin-left: -20px;}</style>'))
display(HTML('<style>.output_area{margin-left: 55px}</style>'))
# display(HTML('<style>.cell{margin-bottom: -5px !important; margin-top: -5px !important;}</style>'))
# display(HTML('<style>.code_cell{margin-bottom: -5px !important; margin-top: -5px !important;}</style>'))
# display(HTML('<style>.output_wrapper{margin-bottom: 0px !important; margin-top: 0px !important;}</style>'))
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 ! or %
Try, for example:
%ls !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
Using SQL in Jupyter
Connecting to a database in Jupyter
https://pypi.org/project/ipython-sql/
https://stackoverflow.com/questions/454854/no-module-named-mysqldb
https://docs.kyso.io/guides/sql-interface-within-jupyterlab
https://www.datacamp.com/community/tutorials/sql-interface-within-jupyterlab
https://www.sqlshack.com/learn-jupyter-notebooks-for-sql-server/
Verificar las fuentes above. Creo que lo único que tuve que hacer la última vez que lo instalé fue basado en las 3 primeras sources:
pip install ipython-sql sudo apt install default-libmysqlclient-dev pip install mysqlclient sudo apt-get install python3-mysqldb
Luego adding SQL syntax highlighting to Jupyter as describe above in the corrrespoinding source.