Free Course

Numpy tutorial

Self Paced

Beginner Level

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Overview

NumPy is an open-source library in python for working with arrays and matrices. You’d be hard-pressed to find a data science project without it, as it’s one of the most useful libraries out there. If you’re a beginner who wants to start learning about data analytics, data cleaning, data manipulation, etc., in python then you’re in the right place!

Happy learning 🙂

Course Curriculum

  • 1.1 Creating Numpy array
  • 1.2 Creating 2d numpy array
  • 2 More ways of creating arrays
  • 3.1 Accessing array elements
  • 3.2 Slicing numpy array
  • 3.3 Negative index in numpy array
  • 3.4 Traversing array in reverse direction
  • 4.1 Copying a numpy array
  • 4.2 Reshape numpy array
  • 4.3 Transposing numpy array
  • 4.4 Rounding numbers in numpy
  • 5.1 Slicing array based on condition
  • 5.2 Cumulative Sum
  • 5.3 In1d numpy
  • 6.1 Random Numbers
  • 6.2 Random Seed
  • 6.3 Generating Random Integers
  • 7 Numpy Broadcasting
  • 8.1 Any and all

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Included In course

Rich Learning Content

Quizzers & Pojects

Taught by Industry Pros

Group 14@1x

Student Support Community

Group@1.5x

Full Lifetime Access

Certificate of Completion

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