Numpy Fundamentals is a course that covers the basics of the Numpy library in Python. Numpy is a powerful library for scientific computing and data analysis, providing high-performance multidimensional array objects and functions for manipulating them. The course is designed for beginners who have a basic understanding of Python programming and want to learn how to use Numpy for data manipulation and analysis.
The course starts with an introduction to Numpy and its importance in scientific computing. It then covers the basics of array creation, indexing, slicing, and manipulation in Numpy. The course also covers common mathematical operations, such as addition, subtraction, multiplication, and division, and how they can be performed on Numpy arrays.
What you'll learn
- Introduction to Numpy and its importance in scientific computing
- Basics of array creation, indexing, slicing, and manipulation in Numpy
- Performing common mathematical operations on Numpy arrays
- Broadcasting and array manipulation
- Universal functions in Numpy
- Using Numpy for data analysis, including basic statistics, linear algebra, and Fourier analysis
- Hands-on coding exercises and examples to gain practical experience with Numpy
- Solid understanding of Numpy fundamentals
- Ability to use Numpy for data analysis and scientific computing tasks.
Requirements
Basic Knowledge of Python
