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https://engineering.instagram.com/web-service-efficiency-at-instagram-with-python-4976d078e366

Web Service Efficiency at Instagram with Python

#Instagram currently features the world’s largest deployment of the #Django web framework, which is written entirely in #Python. We initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of “do the simple thing first.” But simplicity can come with a tradeoff: efficiency...
https://realpython.com/blog/python/asynchronous-tasks-with-django-and-celery/

Asynchronous Tasks With #Django and #Celery

“Celery is an asynchronous task queue/job #queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.” For this post, we will focus on the scheduling feature to periodically run a job/task.
http://www.techbeamers.com/python-tutorial-essentials-of-python-socket-programming/

Essentials of Python #Socket Programming You Should Know

Python offers two types of #API libraries that we can use for socket programming. At the low-level, Python utilizes the “socket” library to implement #client and #server #modules for both #connectionless and #connection-oriented #network protocols. Whereas, at the higher-level, You can use libraries like #ftplib and #httplib to interact with application-level network protocols like #FTP and #HTTP.
https://pythonspot.com/en/python-network-sockets-programming-tutorial/

Python network sockets programming tutorial

In this tutorial you will learn about in #network programming. You will learn about the #client-#server model that is in use for the World Wide Web, E-mail and many other applications.

#socket
http://krondo.com/an-introduction-to-asynchronous-programming-and-twisted/

Twisted Introduction

This multi-part series introduces #Asynchronous Programming and the Twisted networking framework.

#Twisted is an event-driven networking engine written in #Python and licensed under the open source ​MIT license. Twisted runs on Python 2 and an ever growing subset also works with Python 3.

#network #learn
https://www.fullstackpython.com/websockets.html

A #WebSocket is a standard protocol for two-way data transfer between a #client and #server. The WebSockets protocol does not run over #HTTP, instead it is a separate implementation on top of #TCP.
#AJAX
https://codyparker.com/django-channels-with-react/

Tutorial: Create a real-time #web #game with #Django Channels and #React
http://jcalderone.livejournal.com/tag/sixty%20seconds

Greetings, and welcome back to "Twisted Web in 60 Seconds". In the previous entry, back at the beginning of December, I promised to cover Twisted Web's proxying capabilities. For various reasons I've decided to dump that topic and cover something else instead. So, prepare to learn about #Twisted Web's CGI capabilities!

#learn
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).