Dive into a comprehensive 55-minute video tutorial on NumPy, the essential library for numerical computing in Python. Learn to create and manipulate arrays, perform mathematical operations, reshape and transpose data, and master advanced concepts like broadcasting and linear algebra. Explore NumPy's integration with Python's built-in data structures and discover how to leverage its powerful functions for efficient data analysis and scientific computing. Gain practical skills through numerous code examples and follow along with a detailed timeline covering everything from basic array operations to advanced NumPy techniques.
Overview
Syllabus
Introduction
What is Numpy? What is it used for?
Installation and importing Numpy into a Python script
Creating and manipulating Numpy arrays
Performing mathematical operations on Numpy arrays
Accessing and modifying elements in a Numpy array
Reshaping and transposing Numpy arrays
Stacking and splitting Numpy arrays
Indexing and slicing Numpy arrays
Numpy array statistics and aggregations
Working with Numpy arrays and Python's built-in data structures e.g. lists, dictionaries
Advanced Numpy concepts and functions e.g. broadcasting, masking, linear algebra
Taught by
echohive
