NumPy Library

NumPy Library

The Ultimate NumPy Tutorial for Data Science Beginners

What you’ll learn

  • You will understand that NumPy – Numerical Python is used for scientific computing and data analysis
  • You will get clarity that NumPy uses n-dimensional, homogenous object (ndarray)
  • NumPy are fast, use less memory, are convenient and use vectorized code (Code does not contain explicit looping and indexing etc)
  • You will learn how to create array’s in NumPy
  • You will clearly understand the comparison between NumPy and standard python
  • You will learn the structure of Arrays
  • Indexing, Subsetting, Slicing and Iterating through Arrays
  • Execution speed in NumPy and Standard Python Lists
  • NumPy Arrays – Few Operations
  • Basic mathematical operations/linear algebra operations/functions
  • Playing with arrays using resize, reshape & stack creation

Requirements

  • Basic experience with the Python programming language
  • Strong knowledge of data types (strings, integers, floating points, booleans) etc

Who this course is for:

  • Data analysts and business analysts
  • Excel users looking to learn a more powerful software for data analysis

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