Top 10 numpy course for data analytics Best top numpy course

Best top course on python numpy top 10 python numpy course Python numpy for data analytics Python numpy for data science

Udemy
platform
English
language
Development Tools
category
2
students
4.5 hours
content
Feb 2022
last update
$19.99
regular price

What you will learn

Python numpy: The numerical array to store data

Attributes of numpy and their usage

Creation of array by using different routines

Usage of numpy

Use of numpy with matplotlib

Description

The data analytics needs specialized data structure for storing numerical data. The numpy library provides the required data stucture. NumPy is a Python package. It stands for 'Numerical Python'. It is a library consisting of multidimensional array objects and a collection of routines for processing of array. In this course python numpy library is explained in details. In this tutorial you will learn,

  • What is numpy?

  • How to create and use numpy array?

  • Accessing elements of array.

  • Operations on numpy array.

  • Functions of numpy array.

Anybody knowing basic knowledge of python programming can take up this course. In this course each and every concept is explained in detail. Also following resources are provided to students,

  1. Notes

  2. Examples

The contents of this course are,

1. What is numpy

2. How to install numpy

3. NumPy - Ndarray Object

4. NumPy - Data Types

5. NumPy - Array Attributes

6. NumPy - Array Creation Routines

7. NumPy - Array From Existing Data

8. NumPy - Array From Numerical Ranges

9. NumPy - Indexing & Slicing

10. NumPy - Advanced Indexing

11. NumPy - Broadcasting

12. NumPy - Iterating Over Array

13. NumPy - Array Manipulation

14. NumPy - Binary Operators

15. NumPy - String Functions

16. NumPy - Mathematical Functions

17. NumPy - Arithmetic Operations

18. NumPy - Statistical Functions

19. NumPy - Sort, Search & Counting Functions

20. NumPy - Byte Swapping

21. NumPy - Copies & Views

22. NumPy - Matrix Library

23. NumPy - Linear Algebra

24. NumPy - Matplotlib

25. NumPy - Histogram Using Matplotlib

26. I/O with NumPy

Content

Introduction to numpy

Introduction
How to install numpy
NumPy - Ndarray Object
NumPy - Data Types
NumPy - Array Attributes

NumPy Array Creation

NumPy - Array Creation Routines
NumPy - Array From Existing Data
NumPy - Array From Numerical Ranges

Accessing numpy array

NumPy - Indexing & Slicing
NumPy - Advanced Indexing
NumPy - Broadcasting
NumPy - Iterating Over Array

Operations on numpy array

NumPy - Array Manipulation
NumPy - Binary Operators
NumPy - Mathematical Functions
NumPy - Arithmetic Operations
NumPy - Statistical Functions
NumPy - Sort, Search & Counting Functions
NumPy - Byte Swapping

Advanced operations on numpy array

NumPy - Copies & Views
NumPy - Matrix Library
NumPy - Linear Algebra
NumPy - Matplotlib
NumPy - Histogram Using Matplotlib
I/O with NumPy

Screenshots

Top 10 numpy course for data analytics Best top numpy course - Screenshot_01Top 10 numpy course for data analytics Best top numpy course - Screenshot_02Top 10 numpy course for data analytics Best top numpy course - Screenshot_03Top 10 numpy course for data analytics Best top numpy course - Screenshot_04

Related Topics

4564638
udemy ID
2/22/2022
course created date
3/15/2022
course indexed date
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