Python NumPy Tutorial for Beginners: Complete Guide with Examples скачать в хорошем качестве

Python NumPy Tutorial for Beginners: Complete Guide with Examples

Welcome to this complete Python NumPy tutorial! Whether you're a beginner or looking to refresh your skills, this video will guide you through everything you need to know about NumPy, the foundational library for numerical computing in Python. In this tutorial, you'll learn: ✅ What is NumPy and why it's essential for data science and machine learning ✅ How to create and manipulate NumPy arrays ✅ Array operations, indexing, slicing, and reshaping ✅ Advanced concepts like broadcasting, vectorization, and working with missing data By the end of this video, you'll have a solid understanding of NumPy and be ready to use it in your own projects. Timestamps: 0:00 - Introduction to NumPy 2:15 - Installation and Setup 4:30 - Creating NumPy Arrays 8:45 - Array Attributes and Data Types 12:10 - Array Creation Routines (zeros, ones, arange, linspace) 16:20 - Random Arrays 19:30 - Arithmetic Operations and Aggregation Functions 24:00 - Broadcasting 27:45 - Indexing and Slicing 32:10 - Reshaping and Manipulating Arrays 36:50 - Advanced NumPy (Vectorization, Missing Data, Saving/Loading Arrays) 41:00 - Conclusion and Next Steps Resources: NumPy Documentation Don't forget to like, subscribe, and hit the notification bell for more Python tutorials! Join this channel to get access to perks:    / @blearningclub