The Complete Python NumPy Tutorial

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1. NumPy - Introduction & Setup

1. NumPy Introduction & Features.mp4

02:08

2. Install NumPy (Set Environment).mp4

11:02

2. NumPy - Basics

1.1 demo1.zip

1.2 demo2.zip

1. Create NumPy Arrays.mp4

05:39

2.1 demo1.zip

2.2 demo2.zip

2.3 demo3.zip

2. Dimensions in NumPy Arrays.mp4

05:41

3.1 demo1.zip

3.2 demo2.zip

3. Initialize NumPy Arrays.mp4

03:25

4.1 demo1.zip

4.2 demo2.zip

4.3 demo3.zip

4.4 demo4.zip

4. NumPy DataTypes.mp4

08:20

3. NumPy - Indexing and Slicing

1.1 demo1.zip

1.2 demo2.zip

1.3 demo3.zip

1.4 demo4.zip

1.5 demo5.zip

1.6 demo6.zip

1.7 demo7.zip

1.8 demo8.zip

1. NumPy Array Indexing.mp4

15:48

2.1 demo1.zip

2.2 demo2.zip

2.3 demo3.zip

2.4 demo4.zip

2.5 demo5.zip

2.6 demo6.zip

2.7 demo7.zip

2. NumPy Array Slicing.mp4

11:33

4. NumPy - Shape, Reshape, Iterate

1.1 demo1.zip

1.2 demo2.zip

1.3 demo3.zip

1.4 demo4.zip

1. Array Shape.mp4

08:52

2.1 demo1.zip

2.2 demo2.zip

2. Reshape a NumPy Array.mp4

06:39

3.1 demo1.zip

3.2 demo2.zip

3.3 demo3.zip

3. Iterate a NumPy Array.mp4

09:22

5. NumPy - Join, Split, Search, Sort

1.1 demo1.zip

1.2 demo2.zip

1.3 demo3.zip

1.4 demo4.zip

1.5 demo5.zip

1.6 demo6.zip

1. Join NumPy Arrays.mp4

13:11

2.1 demo1.zip

2.2 demo2.zip

2.3 demo3.zip

2. Split NumPy Arrays.mp4

12:05

3.1 demo1.zip

3. Search a NumPy Array for a value.mp4

03:35

4.1 demo1.zip

4.2 demo2.zip

4.3 demo3.zip

4. Sort NumPy Arrays.mp4

07:34

5.1 demo1.zip

5. Axes in NumPy Arrays.mp4

05:36

6. NumPy - Operations

1.1 demo1.zip

1.2 demo2.zip

1.3 demo3.zip

1. Intersection of NumPy Arrays.mp4

09:40

2.1 demo1.zip

2.2 demo2.zip

2. Difference between NumPy Arrays.mp4

07:44

3.1 demo1.zip

3.2 demo2.zip

3.3 demo3.zip

3.4 demo4.zip

3.5 demo5.zip

3.6 demo6.zip

3. Arithmetic Operations on NumPy Arrays.mp4

13:06

4.1 demo1.zip

4.2 demo2.zip

4.3 demo3.zip

4.4 demo4.zip

4. Scalar Operations on NumPy Arrays.mp4

10:20

5.1 demo1.zip

5.2 demo2.zip

5.3 demo3.zip

5. Statistical Operations on NumPy Arrays.mp4

07:53

7. NumPy - Miscellaneous

1.1 demo1.zip

1.2 demo2.zip

1.3 demo3.zip

1. NumPy Random Module.mp4

07:53

2.1 demo1.zip

2.2 demo2.zip

2. NumPy Logs.mp4

04:34

3.1 demo1.zip

3.2 demo2.zip

3. LCM and HCF.mp4

05:13

8. Extra

1. Quiz 1.html

2. Quiz 2.html

3. Quiz 3.html

4. Quiz 4.html

Description

Learn NumPy with 100+ hands-on live running coding examples and exercises

What You'll Learn?

Learn NumPy for Data Science
Learn NumPy from scratch
Acquire essential NumPy skills for numeric and scientific computing
Be able to program in NumPy professionally.
Practice your skills with 50+ exercises
Learn NumPy best practices

Who is this for?

Get started with NumPy

Those who want to learn NumPy by doing. This course includes 50+ hands-on exercises

Gain a deep understanding of Python NumPy

Python Libraries Beginners

What You Need to Know?

A computer with an Internet

Python knowledge

Passion to learn NumPy

More details

Description
Welcome to the NumPy Tutorial for Beginners by Studyopedia.
NumPy is an open-source Python library, that allows you to work with multi-dimensional arrays and matrices, with the mathematical functions operating on these arrays. It stands for Numerical Python and is written in Python and C. It is a Python library for numeric and scientific computing. It consists of multi-dimensional array objects. It is faster with less LOC.
Numpy allows you to perform various operations on Arrays, including
Array Slicing
Array Join
Array Split
Array Reshape
Array Intersection
Array Arithmetic Operations
Array Statistical Operations
Course Lessons
NumPy Introduction
Installing NumPy with pip
Create NumPy arrays
Dimensions in NumPy Arrays
Initialize NumPy Arrays
Datatypes in NumPy
NumPy Array Indexing
NumPy Array Slicing
NumPy Array Shape
Reshape a NumPy array
Iterate NumPy Arrays
Joining NumPy Arrays
Split NumPy Array
Search an Array for a value
Sorting NumPy Arrays
Axes in NumPy arrays
Intersection of NumPy Arrays
Difference between NumPy arrays
Arithmetic Operations on NumPy arrays
Scalar operations on NumPy arrays
Statistical Operations on NumPy arrays
Random module in NumPy
NumPy Logs
NumPy LCM and HCF
Bonus
25. Quiz

We have also provided an Online Quiz to polish your NumPy skills after completing the lessons.
100+ live coding examples are covered to make each lesson easier for the students.

Hit the Enroll button!
Who this course is for:
Get started with NumPy
Those who want to learn NumPy by doing. This course includes 50+ hands-on exercises
Gain a deep understanding of Python NumPy
Python Libraries Beginners

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