Numpy For Data Science - Real Time Exercises

Numpy For Data Science - Real Time Exercises

First step towards Python's Numpy Library

What you'll learn

  • Understand the fundamentals of the Python Numpy library
  • Numpy Arrays - 1D, 2D, 3D, Zeros, Ones, Full Arrays etc
  • Numpy Functions - Random, Linspace, Empty, Eye, Identity, Transpose, Diagonal Function etc
  • Indexing in Numpy Arrays
  • You can download each lecture video and source codes files

This course includes:

  • 2.5 hours on-demand video
  • 16 downloadable resources
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion