Python Programming with Google Colab

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ZK Tutorials

8:08:52

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1. Introduction

1. Introduction.mp4

25:47

2. Data Type

1. Data Type.mp4

25:37

3. Input

1. Input.mp4

08:26

4. Operator

1. Operator.mp4

22:07

5. if else

1. if else.mp4

03:36

2. if elif else.mp4

20:47

6. Loop

1. Loop.mp4

17:36

2. While Loop.mp4

12:50

3. Advance Loop.mp4

15:01

7. String

1. String.mp4

08:48

8. List

1. List.mp4

17:03

2. List Slice.mp4

12:31

3. List Method.mp4

11:46

4. List Comprehension.mp4

12:16

9. Tuple

1. Tuple.mp4

17:52

10. Dictionary

1. Dictionary.mp4

17:13

2. Nested Dictionary.mp4

13:09

11. Set

1. Set.mp4

09:23

12. Function

1. Function.mp4

31:44

13. Error Handling

1. Error Handling.mp4

17:44

14. Different Function

1. Different Function.mp4

13:54

15. Lambda

1. Lambda.mp4

16:41

16. Class and Object

1. Class and Object.mp4

11:41

17. Method

1. Method.mp4

06:40

18. Decorators

1. Decrotars.mp4

07:22

19. Exception Handling

1. Exception Handling.mp4

06:31

20. GUI 1

1. GUI 1.mp4

05:20

2. GUI 2.mp4

07:54

3. GUI 3.mp4

05:21

4. GUI 4.mp4

02:50

5. GUI 5.mp4

02:04

21. Practice Lesson 1

1. Practice Lesson 1.mp4

12:31

2. Practice Lesson 2.mp4

32:25

22. project Part 1

1. Project Part 1.mp4

04:06

2. Project Part 2.mp4

04:22

3. Project Part 3.mp4

08:50

4. Project Part 4.mp4

05:06

5. Project Part 5.mp4

13:58

Description

Learn Python Programming with Google Colab, how to write, run and verify the output of syntax

What You'll Learn?

Python with Colab
Introduction to Python Programming
Python Syntax learning
Python functions and decision making operators etc.

Who is this for?

Desire to Lean Programming

What You Need to Know?

No programming experience required as this course is for beginners

More details

Description
Python is a popular high-level programming language known for its simplicity, readability, and versatility. It was created by Guido van Rossum and first released in 1991. Python's design philosophy emphasizes code readability, making it an ideal choice for beginners and experienced programmers alike. It supports various programming paradigms, including object-oriented, imperative, functional, and procedural styles.
Python comes with a vast standard library that provides a wide range of modules and packages for various tasks, making it convenient for developers to access built-in functions and features. Additionally, Python has an active and supportive community, making it easier for learners to find resources and seek help when needed.
Course Description - Python Programming with Google Colab:
Welcome to "Python Programming with Google Colab," an immersive and hands-on course designed to introduce you to the fundamentals of Python programming and its practical applications. Whether you're a complete beginner or an experienced programmer looking to add Python to your skillset, this course will provide a comprehensive understanding of Python's syntax and essential features.
Course Overview:
Module 1: Introduction to Python
Understanding Python's history, features, and benefits.
Setting up Google Colab for a seamless coding experience.
Module 2: Python Basics
Python data types: Integers, floating-point numbers, strings, and Booleans.
Input functions: Gathering user input to interact with your programs.
Operators: Arithmetic, comparison, logical, and assignment operators.
Module 3: Conditional Statements
If-else statements: Making decisions based on conditions.
If-elif-else statements: Handling multiple conditions effectively.
Module 4: Loops
While loops: Repeating tasks until a condition is no longer met.
For loops: Iterating through sequences such as strings, lists, and dictionaries.
Module 5: Data Structures
Strings: Manipulating text data and string methods.
Lists: Storing and managing collections of items.
Tuples: Immutable collections for data integrity.
Dictionaries: Organizing data with key-value pairs.
Module 6: Error Handling
Handling exceptions: Preventing program crashes with proper error handling.
Using try-except blocks: Ensuring graceful failure.
Module 7: Lambda Functions
Understanding anonymous functions and their applications.
Module 8: Object-Oriented Programming
Classes and Objects: Defining blueprints for data structures.
Methods: Functions that operate on class instances.
Module 9: Exception Handling in OOP
Raising and handling exceptions within classes.
Who this course is for:
Desire to Lean Programming

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