NumPy: Zero to Hero

What is NumPy ?

Data Structures

Data Types in Python

Data Types in NumPy

Install of NumPy

Visualisation for deep understanding the form of array

Creating the arrays

The second way to create the arrays

Array’s Dimension

0 — D Arrays or Scalar

1 — D Arrays or Uni-Dimensional

2 — D Arrays

3 — D Arrays

The second example

How to find the number of dimensions ?

Shape Function in NumPy

More information in shape function

Reshape

1-D to 2-D

1-D to 3-D

Size function in NumPy

N — Dimensional Arrays

Indexing Arrays

Access Array Elements

Mathematical Operations

2-D Arrays

3-D Arrays

Negative Indexing

Slicing Arrays

Negative Slicing

STEP

Slicing multi-dimension

Checking the Data Type of an Array

Creating Arrays With a Defined Data Type

Copy and View

Copy

View

Status of data in arrays

Joining

Joining with “ Stack “ function

Splitting

Searching

Search Sorted and Search from right side

Find

Sort

Filtering

Creating filter with a condition

Zeros

Ones

Arange

Linspace

What is the difference between Arange and Linspace

Random

Random Sample

Generate Random Floats

Generate Random Integers

Generate Random Numbers within Range

Select Random Elements

Shuffle Elements Randomly

Full

Empty

What is difference between Array and List

What is the difference between ndarray and array in numpy?

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