Learning-Resources

Learning Resources and Links for all the Resources

Pycon Videos

• Miguel Grinberg - Flask at Scale - PyCon 2016
• Jérôme Petazzoni - Introduction to Docker and containers - PyCon 2016
• David Baumgold - Get Started with Git - PyCon 2016
• Allen Downey - Computational Statistics - PyCon 2016
• Allen Downey - Bayesian statistics made simple - PyCon 2016
• PyData 101: Essential data science skills for every programmer, from data to model to visualization
• Michael Tom-Wing, Christie Wilson - Introduction to Unit Testing in Python with Pytest - PyCon 2016
• Luciano Ramalho - Pythonic Objects: implementing productive APIs with the Python Data Model
• Julia Ferraioli, Amy Unruh, Eli Bixby - Diving into Machine Learning through TensorFlow - PyCon 2016

Pydata Videos

• Bobby Filar | Bot or Not? The Illusion of Intelligence

General Python Scripting

Corey Schafer- OOPS Sentdex.

Web Developement

Designing RESTful APIs. (Udacity) Designing Scalable WEB apps in Python. (Udacity) Web developement. (Udacity)

Machine Learning and AI

Hvass labs- Deep Learning. Introduction to computational thinking and Data science (edX) Machine Learning Specailization (Coursera) AIND (Udacity) Deep Learning. (Udacity) Databases Data Wrangling with MongoDB (Udacity)

CS Basics

Introduction to CS using Python MITx. CS 50 youtube Programming foundations with Python. (Udacity) Intro to algorithms. (Udacity) Design and analysis of computer programs. (Udacity) Intro to computer programs. (Udacity)

Natural Language Processing

CS224D Deep Learning for NLP Dan Jurafsky & Chris Manning: Natural Language Processing Natural Language Processing - Coursera (FULL) | University of Michigan