This course teaches learners how to use the NumPy library for Python. By the end of the course, students will be able to create arrays, perform indexing, utilize mathematical and statistical functions, reshape arrays, and work with linear algebra concepts. The teaching method involves a video tutorial that covers various topics in NumPy, including basic operations, array manipulation, and data loading techniques. This course is intended for individuals interested in data science, Python programming, and numerical computing.
Complete Python NumPy Tutorial - Creating Arrays, Indexing, Math, Statistics, Reshaping
Keith Galli via YouTube
Overview
Syllabus
- Introduction
- What is NumPy
- NumPy vs Lists speed, functionality
- Applications of NumPy
- The Basics creating arrays, shape, size, data type
- Accessing/Changing Specific Elements, Rows, Columns, etc slicing
- Initializing Different Arrays 1s, 0s, full, random, etc...
- Problem #1 How do you initialize this array?
- Be careful when copying variables!
- Basic Mathematics arithmetic, trigonometry, etc.
- Linear Algebra
- Statistics
- Reorganizing Arrays reshape, vstack, hstack
- Load data in from a file
- Advanced Indexing and Boolean Masking
- Problem #2 How do you index these values?
Taught by
Keith Galli
