Practical Numpy: Beginners to Advanced

Solve data science problems with ease using Numpy/Numerical Python

Numerical Python or Numpy is an important library when it comes to performing complex computation. In this course, we deep dive into Numpy starting with basic concepts, explaining what , why and motivations for creating such library to advanced concepts. This course can be a pathway towards becoming a data scientist.

What you’ll learn

  • Learn about ndArray.
  • Basic Concepts like shape manipulation, Array Manipulation.
  • Advanced concepts like Memory Management.
  • Broadcasting.

Course Content

  • Introduction –> 4 lectures • 6min.
  • Numpy –> 4 lectures • 6min.
  • Detailed Look –> 13 lectures • 52min.
  • File Management –> 2 lectures • 4min.
  • Memory Management –> 3 lectures • 9min.

Practical Numpy: Beginners to Advanced

Requirements

  • Basic programming knowledge.
  • Basic Python knowledge.

Numerical Python or Numpy is an important library when it comes to performing complex computation. In this course, we deep dive into Numpy starting with basic concepts, explaining what , why and motivations for creating such library to advanced concepts. This course can be a pathway towards becoming a data scientist.