Deep Learning Series | Intro to Python for Data Science

A brief intro to Python for absolute beginners by John Chang. We'll discuss how to transform simple mathematical logic into functions and code in Python, and also look into Jupyter Notebook briefly to explore pre-made helpful functions. Presenter: https://github.com/Eve-ning Presentation & Notebook: https://github.com/Eve-ning/MLWeek-D1/tree/master/src 00:00 Translating Math to Python - Operators 00:56 Translating Math to Python - Order of Execution 02:00 Translating Math to Python - Variable Naming 03:48 Jupyter Notebook - Intro 05:08 Jupyter Notebook - Multiple Printing/print() 06:08 Translating Math to Python - Univariate Functions 08:56 Translating Math to Python - Multivariable Functions 10:48 Translating Math to Python - Importing Package Functions 13:03 Jupyter Notebook - Installing numpy & pandas w/ Jupyter Notebook 13:40 Jupyter Notebook - Creating Custom Functions 15:21 Jupyter Notebook - Importing math 16:04 Jupyter Notebook - Brief look at pandas and numpy 16:30 Jupyter Notebook - Package in a Package