Curriculum
6 Sections
20 Lessons
2 Hours
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Introduction
3
1.1
What is NumPy
1.2
How To Install And Setup NumPy & Pandas
1.3
How To Work With The Jupyter Notebook
NumPy Basics
4
2.1
NumPy Initialization
2.2
Creating An Ndarrays
2.3
Data Types
2.4
Pseudorandom Number Generation
Indexing In Python
3
3.1
Indexing And Slicing
3.2
Boolean Indexing
3.3
Fancy Indexing
File Handling In Python
1
4.1
How To Save And Load In NumPy
Numerical Computation In NumPy
4
5.1
Mathematical & Statistical Methods
5.2
Arithmetic Operations
5.3
Universal Functions In NumPy
5.4
Conditional Logics In NumPy
Boolean Arrays and Sorting In NumPy
5
6.1
Methods Applied To Boolean Arrays
6.2
Sorting In NumPy
6.3
Unique and Set Logic In NumPy
6.4
Linear Algebra In NumPy
6.5
Course Materials
Master Python With NumPy For Data Science & Machine Learning
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