Best Python Libraries for Data Science by jamessidis in python

[–]PrachiK 1 insightful - 1 fun1 insightful - 0 fun2 insightful - 1 fun -  (0 children)

Python libraries are a collection of practical features that do not require the creation of new code. Today, there are more than 137,000 Python libraries, and they are essential for creating applications for machine learning, data science, data visualisation, image and data processing, and more. Let's quickly review the Python programming language before moving on to the most well-known Python libraries.

For more knowledge about Python Liberaries must read this blog https://www.boardinfinity.com/blog/most-important-python-libraries-for-data-science/.

Djangojobs - Python Django Jobs by python_django in python

[–]IkeConn 1 insightful - 1 fun1 insightful - 0 fun2 insightful - 1 fun -  (0 children)

https://youtu.be/McLk_G7jkzI?t=91

Comparison of Node.js with Python and Ruby by CronJ in python

[–][deleted] 3 insightful - 2 fun3 insightful - 1 fun4 insightful - 2 fun -  (0 children)

I agree with /u/fschmidt. Node is a bloated hellscape of unneeded frameworks. Once I learned the MEAN stack, I promptly threw that crap in the trash and never looked back. How many lines of code is node up to now? Furthermore node's site is all about BLM, not node.js so I am clearly too white for it.

I'll not appropriate wakandan technologies.

Comparison of Node.js with Python and Ruby by CronJ in python

[–]fschmidt 3 insightful - 2 fun3 insightful - 1 fun4 insightful - 2 fun -  (0 children)

Node.is is probably the worst development tool that I have seen in my long programming career.

Easy tutorial - domino animation in 10 lines of Python code by monica_b1998 in python

[–][deleted] 1 insightful - 1 fun1 insightful - 0 fun2 insightful - 1 fun -  (0 children)

That is pretty awesome.