Master essential NumPy functions in this comprehensive 32-minute tutorial. Explore the advantages of NumPy arrays over Python lists, perform dot products, and conduct speed tests. Dive into multidimensional arrays, learn advanced indexing techniques, and understand reshaping, concatenation, and broadcasting concepts. Discover various NumPy functions, work with different datatypes, and learn proper array copying methods. Generate arrays, create random numbers, and delve into linear algebra operations. Conclude by learning how to load CSV files efficiently using NumPy.
Overview
Syllabus
- Introduction
- Installation and Basics
- Array vs List
- Dot Product
- Speed Test array vs list
- Multidimensional nd arrays
- Indexing/Slicing/Boolean Indexing
- Reshaping
- Concatenation
- Broadcasting
- Functions and Axis
- Datatypes
- Copying
- Generating arrays
- Random numbers
- Linear Algebra Eigenvalues / Solving Linear Systems
- Loading CSV files
Taught by
Python Engineer
