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http://www.kdnuggets.com/2017/09/essential-data-science-machine-learning-deep-learning-cheat-sheets.html

#Cheat_Sheet, #Data_Science, #Deep_Learning, #Machine_Learning, #Neural_Networks, #Probability, #Python, R, #SQL, #Statistics

This collection of data science cheat sheets is not a cheat sheet dump, but a curated list of reference materials spanning a number of disciplines and tools
https://uwsgi-docs.readthedocs.io/en/latest/

The uWSGI project

The #uWSGI project aims at developing a full stack for building #hosting services.

Application #servers (for various programming languages and protocols), proxies, process managers and monitors are all implemented using a common #api and a common configuration style.

#python
http://www.csestack.org/python-libraries-for-data-science/

As per the DIKW Pyramid Model, #Data_Science job revolves around finding the information, knowledge from Raw Data. And it can be bundled into the stack of 4 entities:

source of #data
manage and store data
analyze the data
display analyzed output (#visualization, statistics)
https://goo.gl/ucbkhT

#Data_Science for #Big_Data with #Anaconda Enterprise

Getting Python and R’s most popular data science libraries to work on a computational cluster can be a major challenge. And in a Big Data world, surmounting this challenge is key to leveraging data science within your organization to make smart, data-driven decisions.
https://www.ibm.com/developerworks/topics/python%20django

Develop, #deploy, and manage your apps in the cloud

The #Bluemix cloud platform has everything you need to get started.
#Django
https://us.pycon.org/2018/

Tutorials
May 9-10 • Wednesday, Thursday

Talks and Events
May 11–13 • Friday, Saturday, Sunday

Sprints
May 14–17 • Monday through Thursday

#pycon
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Bokeh_Cheat_Sheet.pdf

Python For #Data_Science
Cheat Sheet

The Python interactive visualization library
#Bokeh enables high-performance visual presentation of
large datasets in modern #web browsers.
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf

#Scikit_learn is an open source Python library that implements a range of #machine_learning , preprocessing, cross-#validation and #visualization algorithms using a unified interface...
https://www.microsoft.com/en-us/learning/mcsa-machine-learning.aspx

What is involved

Earning an MCSA: Machine Learning demonstrates knowledge relevant to #Machine_Learning, #Data_Scientists and #Data_Analysts positions, particularly those who process and analyze large data sets using R and use Azure cloud services to build and deploy #intelligent solutions. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).
http://editorconfig.org/

What is EditorConfig?

#EditorConfig helps developers define and maintain consistent coding styles between different editors and #IDEs. The EditorConfig project consists of a file format for defining coding styles and a collection of text editor plugins that enable editors to read the file format and adhere to defined styles. EditorConfig files are easily readable and they work nicely with version control systems.
https://github.com/scottwoodall/django-react-template/blob/master/LICENSE

scottwoodall/django-react-template is licensed under the
#MIT #License

A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code.
https://github.com/scottwoodall/django-react-template/blob/master/LICENSE

scottwoodall/django-react-template is licensed under the
#MIT #License

A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code.