NumPy - Python Scientific Computing by CodingNomads
Course Highlights
- If you want to get into data science, machine learning or AI, learning NumPy will enable you to build projects using the skills sought after for these roles.
- NumPy is the most widely-used Python library for scientific computing. Because of its versatility, NumPy serves as the foundation for many other scientific, data analysis, and machine learning tools such as Pandas, SciPy, Matplotlib, TensorFlow and PyTorch. Build a strong foundation in NumPy, and you'll be well on your way to performing advanced data analysis.
Skills you will learn!
Curriculum
7 Topics
NumPy Course Overview
Video: Numerical Python with NumPy
Arrays in NumPy
Video: NumPy Arrays
Numpy Data Types
Video: NumPy Data Types
Lab: NumPy Arrays & Data Types
9 Topics
NumPy Array Attributes
Video: NumPy Attributes
NumPy Array Operations
Video: NumPy Array Operations
NumPy Indexing & NumPy Slicing
Video: Indexing and Slicing NumPy Arrays
NumPy View vs. NumPy Copy
Video: NumPy Views vs Copies
Lab: NumPy Arrays Operations & Attributes
10 Topics
Manipulating NumPy Arrays Part 1
Manipulating NumPy Arrays Part 2
Video: Manipulating NumPy Arrays
How to Sort a NumPy Array
Video: Sorting NumPy Arrays
NumPy Broadcasting
Video: NumPy Broadcasting
NumPy Random Module
Video: NumPy Random Module
Lab: NumPy Array Manipulation
5 Topics
NumPy 2.0.0 Release Notes & Migration Guide
Check back soon for the NumPy 2.0 updates
NumPy Conclusion
Video: NumPy Course Conclusion
Request Completion Certificate
NumPy - Python Scientific Computing
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