Python For Numpy For Absolute Beginners 2023

Python For Numpy For Absolute Beginners 2023
Published 5/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Learn Complete NumPy from Basic to Advance topic like Indexing, Slicing, Broadcasting, Joining, Splitting, Searching .

What you’ll learn

Understanding NumPy Library from zero to advanced

Why We Use NumPy Array Over Python List

Implementing array operations using NumPy module in python

How to work in High dimension Datasets with NumPy array

Requirements

Basic syntax of Python

Description

Overview

Section 1: Introduction

Lecture 1 Introduction of Numpy

Lecture 2 Why we Use Numpy Over Python List ?

Lecture 3 Applications of Numpy

Lecture 4 Installation of Anaconda

Section 2: How to Create Numpy Array

Lecture 5 Create 1D, 2D, 3D Numpy array

Lecture 6 Create numpy array with custom data type

Lecture 7 Create numpy array with arange function

Lecture 8 Reshape the numpy array

Lecture 9 Create Zeros, Ones , Random array

Lecture 10 Create array Using linspace

Section 3: Numpy Array Attributes

Lecture 11 Find the dimension of array

Lecture 12 Find the Shape and Size of the array

Lecture 13 Find the Itemsize of the array

Lecture 14 Find the datatype and change the datatype of an array

Section 4: Numpy Array Operation

Lecture 15 Scalar Operation of numpy array

Lecture 16 Relational Operation of numpy array

Lecture 17 Vector Operation of numpy array

Section 5: Numpy Array Function

Lecture 18 Understanding the Axis and Sum , Min, Max

Lecture 20 Dot product of an Numpy array

Lecture 21 Finding Log and exponent of an array

Lecture 22 Understanding round , floor ,ceil in numpy

Section 6: Indexing and Slicing in Numpy array

Lecture 23 What is the Indexing and Slicing

Lecture 24 Indexing on 2D array and 3D numpy array

Lecture 25 Slicing in 1D and 2D Numpy array

Lecture 26 Slicing in 3D Numpy array

Section 7: Iteration of Numpy Array

Lecture 27 Iterating 1D array

Lecture 28 Iterating 2D array

Lecture 29 Iterating 3D array

Section 8: Reshaping of Numpy Array

Lecture 30 Reshaping of numpy array

Lecture 31 Transpose the numpy array

Lecture 32 Converting N D array to 1 D array using ravel

Section 9: Joining Two Array

Lecture 33 How to Join to array

Lecture 34 Code for Joining two array using stacking

Section 10: Splitting Two Array

Lecture 35 Splitting an array

Lecture 36 Code for Splitting an array

Section 11: Advance Level

Lecture 37 Searching in Numpy Array

Lecture 38 Sorting a Numpy Array

Engineering Students, Software Developers And Aspiring Data Scientists,Beginner in Python, Who wants to learn Pandas Library