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NumPy Python Programming Language Library from Scratch A-Z™
Installations
Installing Anaconda Distribution for Windows (10:35)
Notebook Project Files Link regarding NumPy Python Programming Language Library
Installing Anaconda Distribution for MacOs (6:17)
6 Article Advice And Links about Numpy, Numpy Pyhon
Installing Anaconda Distribution for Linux (14:43)
NumPy Library Introduction
Introduction to NumPy Library (6:24)
The Power of NumPy (16:04)
Creating NumPy Array in Python
Creating NumPy Array with The Array() Function (8:16)
Creating NumPy Array with Zeros() Function (5:05)
Creating NumPy Array with Ones() Function (3:06)
Creating NumPy Array with Full() Function (2:50)
Creating NumPy Array with Arange() Function (2:55)
Creating NumPy Array with Eye() Function (3:08)
Creating NumPy Array with Linspace() Function (1:31)
Creating NumPy Array with Random() Function (8:29)
Properties of NumPy Array (5:25)
quiz
Functions in the NumPy Library
Reshaping a NumPy Array: Reshape() Function (5:57)
Identifying the Largest Element of a Numpy Array (3:45)
Detecting Least Element of Numpy Array: Min(), Ar (2:35)
Concatenating Numpy Arrays: Concatenate() Function (9:40)
Splitting One-Dimensional Numpy Arrays: The Split (5:46)
Splitting Two-Dimensional Numpy Arrays: Split(), (9:33)
Sorting Numpy Arrays: Sort() Function (4:16)
Indexing, Slicing, and Assigning NumPy Arrays
Indexing Numpy Arrays (7:39)
Slicing One-Dimensional Numpy Arrays (6:08)
Slicing Two-Dimensional Numpy Arrays (9:30)
Assigning Value to One-Dimensional Arrays (5:02)
Assigning Value to Two-Dimensional Array (9:57)
Fancy Indexing of One-Dimensional Arrrays (6:09)
Fancy Indexing of Two-Dimensional Arrrays (12:32)
Combining Fancy Index with Normal Indexing (3:25)
Combining Fancy Index with Normal Slicing (4:36)
Operations in Numpy Library
Operations with Comparison Operators (6:09)
Arithmetic Operations in Numpy (15:10)
Statistical Operations in Numpy (6:35)
Solving Second-Degree Equations with NumPy (7:00)
Fancy Indexing of Two-Dimensional Arrrays
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