Python - NumPy Functions for Data Analysis & Science!

Tutorial on common NumPy functions used for data analysis and science. Learn to combine generate random numbers from specific statistical distributions, transform data to make it easier to model with and sort & merge arrays.

GitHub repo containing the notebook under "Python YouTube Tutorials": https://github.com/tudev/Workshops-2020-2021

Video on NumPy Arrays: https://www.youtube.com/watch?v=MuxPaQB2Zj4&feature=youtu.be

CONNECT: LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/

GitHub: https://github.com/ad17171717 Twitter: https://twitter.com/DolinayG

------Video Chapters------ 0:00 - Intro 0:18 - Load in packages 0:29 - Concatenate arrays together 1:50 - NumPy functions to calculate summary statistics 5:54 - Return the minimum and maximum values of an array 7:10 - Log transformation of data 10:32 - Filter through an array with NumPy's "Where" function 13:19 - Generating random numbers based on a specified distribution 18:32 - Sorting arrays 20:33 - References and Additional Learning ... https://www.youtube.com/watch?v=dBvdB5T70xg