Overview
Learn NumPy in this 1-hour crash course and master all the essential functions, tricks, and methods of NumPy, the core library for scientific computing in Python. The course covers topics such as array manipulation, indexing, slicing, reshaping, concatenation, broadcasting, working with different data types, generating arrays, handling random numbers, and performing linear algebra operations like eigenvalues and solving linear systems. The course is designed for individuals interested in data science, machine learning, or scientific computing in Python.
Syllabus
- Overview
- NumPy 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