Python 2023 Course in Depth: Beginners to Advanced

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1. Preview

1. Course Preview Video.mp4

11:44

2. Language Fundamentals

1. Features of Python.mp4

09:13

2. Identifiers.mp4

08:31

3. Keywords.mp4

09:10

4. Data Types Overview.mp4

07:29

5. Int Datatype.mp4

08:18

6. Float Datatype.mp4

04:03

7. Complex.mp4

07:25

8. Boolean Datatype.mp4

03:41

9. String Datatype.mp4

05:17

10. List & Tuple Datatype.mp4

10:43

11. Bytes.mp4

12:24

12. None.mp4

03:30

13. Frozen Set.mp4

09:54

14. Range.mp4

07:09

15. Dictonary.mp4

08:26

3. Python Operators

1. Arithematic Operators.mp4

12:38

2. Relational Operators.mp4

10:36

3. Equality Operators.mp4

09:22

4. Logical Operators.mp4

11:09

5. Bitwise Operators.mp4

16:02

6. Assignments Operators.mp4

07:33

7. Ternary Operators.mp4

05:16

8. Special Operators.mp4

12:28

4. Input Output

1. Introduction.mp4

11:44

2. Input.mp4

17:15

3. Multiple Inputs.mp4

06:34

4. Command Line Arguments.mp4

19:35

5. Output Statement.mp4

24:32

5. Control Flow

1. Introduction.mp4

05:23

2. IF Satement.mp4

13:16

3. If-Else Satement.mp4

17:30

4. If-Elif-Else Statement.mp4

13:25

5. For Loop.mp4

19:48

6. While Loop.mp4

17:44

7. Infinite Loop.mp4

05:35

8. Nested Loop.mp4

15:11

9. Break.mp4

08:23

10. Continue.mp4

04:58

11. Pass.mp4

06:50

6. String

1. Introduction to Strings.mp4

09:12

2. Index Slicing in String.mp4

19:26

3. Mathematical Operations in String.mp4

06:51

4. Printing Positive & Negative of a String.mp4

06:00

5. Membership String.mp4

03:10

6. Strip String.mp4

05:02

7. Find Index of String.mp4

12:24

8. Count String.mp4

03:45

9. Replace String.mp4

03:08

10. Split & Join String.mp4

09:52

11. Chaning Cases of String.mp4

10:09

12. Startswith & Endswith String.mp4

04:17

13. Data Check in String.mp4

15:16

14. String Formatting.mp4

08:27

7. Lists

1. List Properties.mp4

11:12

2. Different Ways to Create List.mp4

09:21

3. Accessing List.mp4

18:17

4. List Mutability.mp4

06:49

5. Traversing List.mp4

08:53

6. len(), count(), index() in List.mp4

09:46

7. Adding Elements in List.mp4

17:45

8. Removing Elements from List.mp4

12:17

9. Clear List.mp4

02:09

10. Sort, Reverse List.mp4

09:02

11. mathematical Operators in List.mp4

06:46

12. Aliasing Cloning.mp4

14:14

13. Membership List.mp4

06:46

14. Nested Lists.mp4

09:30

15. List Comprehensions.mp4

17:04

8. Tuple

1. Tuple Introduction.mp4

09:34

2. Different Ways To Create Tuple.mp4

07:08

3. Index, Slice - Tuple.mp4

07:38

4. Mathematical Operators - Tuple.mp4

04:47

5. Importatnt Functions On Tuple.mp4

08:25

6. Packing & Unpacking - Tuple.mp4

09:35

7. Tuple Comprehension.mp4

14:26

8. Difference Between List & Tuple.mp4

03:56

9. Set

1. Set Introduction.mp4

08:23

2. Creating Sets.mp4

04:07

3. Adding Elements in Set.mp4

05:21

4. Removing Elements from Set.mp4

09:26

5. Copy Set.mp4

04:04

6. Membership Set.mp4

04:15

7. Mathematical Operators on Set.mp4

12:29

8. Set Comprehension.mp4

05:44

10. Dictonary

1. Dictonary Introduction.mp4

13:38

2. Add, Update & Delete in Dictonary.mp4

09:45

3. Creating & Accessing Dictonary.mp4

04:58

4. Dictonary Functions.mp4

17:34

5. Dictonary Program.mp4

05:32

6. Dictonary Comprehension.mp4

09:11

11. Functions

1. Function Introduction.mp4

13:10

2. Return.mp4

08:29

3. Return Multiple Values.mp4

03:27

4. Parameters.mp4

05:10

5. Initial argument.mp4

19:26

6. Variable Length Argument.mp4

17:07

7. Local & Global Variable.mp4

12:00

8. Recursion.mp4

14:30

9. Lambda Function.mp4

07:28

10. Filter.mp4

06:25

11. Map.mp4

06:44

12. Reduce.mp4

06:25

13. Function Alias.mp4

07:46

14. Nested Functions.mp4

06:48

15. Function Decorators.mp4

17:24

16. Function Generators.mp4

11:36

12. Modules

1. Modules Intro.mp4

12:26

2. Different Types of Modules.mp4

10:05

3. Directory Function.mp4

03:32

4. name .mp4

07:06

5. Math Module.mp4

06:10

6. Random Module.mp4

14:44

13. Classes & Objects

1. OOPs Introduction.mp4

13:16

2. init andself.mp4

24:46

3. Types of Variables.mp4

23:48

4. Types of Methods.mp4

14:42

Description

Become a Python expert with this comprehensive course

What You'll Learn?

Understand the basic syntax and concepts of the Python programming language.
Be able to write simple Python programs to solve problems.
Be able to use Python to manipulate and analyze data.
Be able to use Python to work with libraries and frameworks for web development, data analysis, or other applications.

Who is this for?

This course is ideal for individuals who aim to become proficient in Python 3.

This course is suitable for individuals looking to gain an introduction to coding and learning Python 3.

This course is perfect for individuals looking to enhance their skills and become proficient in the Python 3 programming language.

This course is ideal for those who wish to enter in-demand fields such as web development, machine learning, data science, and other similar fields. It will teach you how to proficiently use Python 3 which is commonly used in these fields.

More details

Description
Welcome to 'Python 2023: From Zero to Hero'. In this course, you will learn the foundations of programming with Python, a powerful and easy-to-learn programming language.

Through a series of video lectures, quizzes, and hands-on projects, you will gain a solid understanding of Python's syntax and concepts, and be able to write your own programs to solve problems and manipulate data. You will learn about variables, loops, functions, data types, modules, and much more. We will also use popular libraries and frameworks such as NumPy, Pandas, and Flask to build web applications and analyze data.

This course is suitable for complete beginners with no prior programming experience, as well as for those who want to expand their knowledge of Python. We will start with the basics and gradually work our way up to more advanced topics.

By the end of this course, you will be able to confidently use Python to build your own websites and web applications, analyze and visualize data, and even build your own artificial intelligence models.

This course is taught by Prassana Kumar, a qualified software engineer with years of experience in Python development. He is a patient and engaging instructor, and is dedicated to helping you succeed in your programming journey.

The course consists of 80 lectures and 15+ hours of video content, and is designed to be completed over a period of 8 weeks. You will have access to all course materials, including code examples, exercises, and supplementary readings, and will be able to ask questions and interact with the instructor and other students through a private course forum. There will be 10 assessments throughout the course to evaluate your progress and understanding.

To complete this course, you will need a computer with Python installed. It is recommended, but not required, that you have some basic familiarity with computer concepts such as files and directories.

Don't wait any longer to start learning Python â€“ join this comprehensive course today and unlock the full potential of this versatile and powerful programming language!
Who this course is for:
This course is ideal for individuals who aim to become proficient in Python 3.
This course is suitable for individuals looking to gain an introduction to coding and learning Python 3.
This course is perfect for individuals looking to enhance their skills and become proficient in the Python 3 programming language.
This course is ideal for those who wish to enter in-demand fields such as web development, machine learning, data science, and other similar fields. It will teach you how to proficiently use Python 3 which is commonly used in these fields.

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