Technical & Scientific Computation with NumPy

At the end of this module, you will be able to:

• Create efficient data structures called ndarrays
• Populate ndarrays with simulated or real-world data
• Manipulate ndarrays with a variety of scalable routines
• Carry out exploratory data analysis with NumPy
• Read and write ndarrays in many formats

Module Content

This module covers the following topics:

1. Installing NumPy
2. NumPy ndarray
3. Array Creation Routines
4. Array Manipulation Routines
5. Universal Functions in NumPy
6. Mathematical Functions
7. Statistics
8. Linear Algebra
9. Pseudorandom Number Generation
10. File Input and Output (IO) with ndarrays