[#basics][#deeplearningdevelopment]

0. Programming doubts, dont know where to ask, pls here first ?

https://stackoverflow.com/

0.1 Software versioning, software managing and production GIT

https://git-scm.com/book/en/v1/Getting-Started-Git-Basics

0.1.1 Searching for code that does something ?

https://github.com/
google for: https://github.com/repo: <term>

1. Python Programming, many references

https://www.fullstackpython.com/python-programming-language.html

A . Deep Learning Elementary Lectures by Geof Hinton

https://www.cs.toronto.edu/~hinton/coursera_lectures.html

A.1 Tensorflow Repository/**Documentation** and Issue Tracker (most popular and effective Deep Learning framework)

Issues: https://github.com/tensorflow/tensorflow/issues
Docs: https://www.tensorflow.org/api_docs/python/tf

A.2 Keras Mailing List (High Level Python Tensorflow API)

https://groups.google.com/forum/#!forum/keras-users

A.3 Tensorflow Computational Graphs Explained From Scratch

https://www.deepideas.net/deep-learning-from-scratch-i-computational-graphs/

B. Conda, One of the most impressives python virtual environment managers, essential for python development,

https://conda.io/en/latest/

B.0 Create virtual env only with the Conda manager and its dependencies: Miniconda
https://docs.conda.io/en/latest/miniconda.html

B.1 Anaconda, big Python Libs Distros
https://www.anaconda.com/

C. Conda Virtual Envs with Docker
https://medium.com/@chadlagore/conda-environments-with-docker-82cdc9d25754