Curso data science - Complete Python NumPy Tutorial (Creating Arrays, Indexing, Math, Statistics, Reshaping)

Check out https://stratascratch.com/?via=keith to practice your Python Pandas data science skills! This video overviews the NumPy library. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. A full video timeline can be found in the comments. Link to code used in video: https://github.com/KeithGalli/NumPy Feel free to watch at 1.5x to learn more quickly! If you enjoyed this video, please consider subscribing :). Let me know your feedback and what I should make a video on next. ---------------------------- Videos of mine that use NumPy - Creating Connect 4 Game: https://youtu.be/UYgyRArKDEs - Plotting (with some use of NumPy): https://youtu.be/DAQNHzOcO5A - Generating Mock Data: https://youtu.be/VJBY2eVtf7o ---------------------------- Links with more information! NumPy vs Lists: https://jakevdp.github.io/blog/2014/05/09/why-python-is-slow/ Indexing: https://docs.scipy.org/doc/numpy-1.13.0/user/basics.indexing.html Array Creation Routines: https://docs.scipy.org/doc/numpy/reference/routines.array-creation.html Math Routines Docs: https://docs.scipy.org/doc/numpy/reference/routines.math.html Linear Algebra Docs: https://docs.scipy.org/doc/numpy/reference/routines.linalg.html ---------------------------- Video Timeline! 0:00 - Introduction 1:15 - What is NumPy 1:35 - NumPy vs Lists (speed, functionality) 9:17 - Applications of NumPy 11:08 - The Basics (creating arrays, shape, size, data type) 16:08 - Accessing/Changing Specific Elements, Rows, Columns, etc (slicing) 23:14 - Initializing Different Arrays (1s, 0s, full, random, etc...) 31:34 - Problem #1 (How do you initialize this array?) 33:42 - Be careful when copying variables! 35:45 - Basic Mathematics (arithmetic, trigonometry, etc.) 38:20 - Linear Algebra 42:19 - Statistics 43:57 - Reorganizing Arrays (reshape, vstack, hstack) 47:29 - Load data in from a file 50:20 - Advanced Indexing and Boolean Masking 55:59 - Problem #2 (How do you index these values?) --------------------- If you are curious to learn how I make my tutorials, check out this video: https://youtu.be/LEO4igyXbLs Join the Python Army to get access to perks! YouTube - https://www.youtube.com/channel/UCq6XkhO5SZ66N04IcPbqNcw/join Patreon - https://www.patreon.com/keithgalli *I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.