NumPy Crash Course - Complete Tutorial

Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook Learn NumPy in this complete 60 minutes Crash Course! I show you all the essential functions of NumPy, and some tricks and useful methods. NumPy is the core library for scientific computing in Python. It is essential for any data science or machine learning algorithms. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ ✅ Write cleaner code with Sourcery: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * 📚 Get my FREE NumPy Handbook: https://www.python-engineer.com/numpybook 📓 Notebooks available on Patreon: https://www.patreon.com/patrickloeber ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN If you enjoyed this video, please subscribe to the channel! Timestamps: 00:00 - Overview 01:59 - NumPy Introduction 03:30 - Installation and Basics 08:00 - Array vs List 12:06 - Dot Product 15:52 - Speed Test array vs list 17:54 - Multidimensional (nd) arrays 22:09 - Indexing/Slicing/Boolean Indexing 29:37 - Reshaping 32:40 - Concatenation 36:16 - Broadcasting 38:26 - Functions and Axis 41:50 - Datatypes 44:03 - Copying 45:15 - Generating arrays 48:05 - Random numbers 51:29 - Linear Algebra (Eigenvalues / Solving Linear Systems) 01:00:04 - Loading CSV files You can play around with the notebook here: https://github.com/patrickloeber/python-engineer-notebooks Data Loading with NumPy: https://youtu.be/eivDTOlA0TE My Machine Learning Tutorials with NumPy: https://www.youtube.com/playlist?list=PLqnslRFeH2Upcrywf-u2etjdxxkL8nl7E NumPy Official site: https://numpy.org/ You can find me here: Website: https://www.python-engineer.com Twitter: https://twitter.com/patloeber GitHub: https://github.com/patrickloeber #Python ---------------------------------------------------------------------------------------------------------- * This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏