NumPy Python Programming Language Library from Scratch A-Z™

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NumPy Python Programming Language Library from Scratch A-Z™ Udemy coupons

NumPy Python Programming Language Library from Scratch A-Z™

NumPy Library for Data Science, Machine Learning,Pandas, Deep Learning using Python from A-Z with the NumPy stack course

Created by Oak Academy, Ali CAVDAR | 4 hours on-demand video course

Welcome to “NumPy Python Programming Language Library from Scratch A-Z™” Course. NumPy Library for Data Science, Machine Learning,Pandas, Deep Learning using Python from A-Z with the NumPy stack course. Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack.

What you’ll learn

  • Installing Anaconda Distribution for Windows
  • Installing Anaconda Distribution for MacOs
  • Installing Anaconda Distribution for Linux
  • Introduction to NumPy Library
  • The Power of NumPy
  • Creating NumPy Array with The Array() Function
  • Creating NumPy Array with Zeros() Function
  • Creating NumPy Array with Ones() Function
  • Creating NumPy Array with Full() Function
  • Creating NumPy Array with Arange() Function
  • Creating NumPy Array with Eye() Function
  • Creating NumPy Array with Linspace() Function
  • Creating NumPy Array with Random() Function
  • Properties of NumPy Array
  • Reshaping a NumPy Array: Reshape() Function
  • Identifying the Largest Element of a Numpy Array: Max(), Argmax() Functions
  • Detecting Least Element of Numpy Array: Min(), Argmin() Functions
  • Concatenating Numpy Arrays: Concatenate() Function
  • Splitting One-Dimensional Numpy Arrays: The Split() Function
  • Splitting Two-Dimensional Numpy Arrays: Split(), Vsplit, Hsplit() Function
  • Sorting Numpy Arrays: Sort() Function
  • Indexing Numpy Arrays
  • Slicing One-Dimensional Numpy Arrays
  • Slicing Two-Dimensional Numpy Arrays
  • Assigning Value to One-Dimensional Arrays
  • Assigning Value to Two-Dimensional Array
  • Fancy Indexing of One-Dimensional Arrrays
  • Fancy Indexing of Two-Dimensional Arrrays
  • Combining Fancy Index with Normal Indexing
  • Combining Fancy Index with Normal Slicing
  • Fancy Indexing of One-Dimensional Arrrays
  • Fancy Indexing of Two-Dimensional Arrrays
  • Combining Fancy Index with Normal Indexing
  • Combining Fancy Index with Normal Slicing

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