python_learners_resource

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python_learners_resource

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- - test_generators.py
  - test_pass.py
- - test_class_and_instance_variables.py
  - test_class_definition.py
  - test_class_objects.py
  - test_inheritance.py
  - test_instance_objects.py
  - test_method_objects.py
  - test_multiple_inheritance.py
- - test_break.py
  - test_continue.py
  - test_for.py
  - test_if.py
  - test_try.py
  - test_while.py
- - test_dictionaries.py
  - test_lists.py
  - test_numbers.py
  - test_sets.py
  - test_strings.py
  - test_tuples.py
  - test_type_casting.py
- - test_handle_exceptions.py
  - test_raise_exceptions.py
- - binary_file
  - multi_line_file.txt
  - test_file_methods.py
  - test_file_reading.py
- - test_function_annotations.py
  - test_function_arbitrary_arguments.py
  - test_function_decorators.py
  - test_function_default_arguments.py
  - test_function_definition.py
  - test_function_documentation_string.py
  - test_function_keyword_arguments.py
  - test_function_scopes.py
  - test_function_unpacking_arguments.py
  - test_lambda_expressions.py
- - python_syntax.md
  - test_variables.py
  - what_is_python.md
- - fibonacci_module.py
  - test_modules.py
  - test_packages.py
- - test_arithmetic.py
  - test_assigment.py
  - test_bitwise.py
  - test_comparison.py
  - test_identity.py
  - test_logical.py
  - test_membership.py
- - test_datetime.py
  - test_glob.py
  - test_json.py
  - test_math.py
  - test_re.py
  - test_zlib.py
- - test_input.py
- Demo_01_Installing_and_Setting_Up_VS_Code.docx
- Demo_02_Installing_Jupyter_Notebook_Using_Anaconda.docx
- Demo_03_Setting_Up_a_Google_Colab_Notebook.docx
README.md
requirements.txt

# CDN으로 사용하기

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// repository documentation

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A practical Python learning repository containing topic-wise examples, exercises, and test cases to help beginners and intermediate learners understand Python fundamentals through hands-on practice.

## Overview

This repository is designed to help learners understand Python through practical examples and exercises. Each topic contains code samples, explanations, and assertions that make learning interactive and easy to follow.

Whether you're a beginner starting your Python journey or an experienced developer looking for a quick reference, this repository serves as both a learning playground and a Python cheatsheet.

---

## How to Use

1. Choose a topic from the list below.
2. Read the examples and comments.
3. Run the code locally.
4. Modify the code and experiment with different scenarios.
5. Learn by observing the results.

---

# Topics Covered

## 1. Getting Started

* [What is Python](./src/getting_started/what_is_python.md)
* [Python Syntax](./src/getting_started/python_syntax.md)
* [Variables](./src/getting_started/test_variables.py)

## 2. Operators

* [Arithmetic Operators](./src/operators/test_arithmetic.py)
* [Bitwise Operators](./src/operators/test_bitwise.py)
* [Assignment Operators](./src/operators/test_assigment.py)
* [Comparison Operators](./src/operators/test_comparison.py)
* [Logical Operators](./src/operators/test_logical.py)
* [Identity Operators](./src/operators/test_identity.py)
* [Membership Operators](./src/operators/test_membership.py)

## 3. Data Types

* [Numbers](./src/data_types/test_numbers.py)
* [Strings](./src/data_types/test_strings.py)
* [Lists](./src/data_types/test_lists.py)
* [Tuples](./src/data_types/test_tuples.py)
* [Sets](./src/data_types/test_sets.py)
* [Dictionaries](./src/data_types/test_dictionaries.py)
* [Type Casting](./src/data_types/test_type_casting.py)

## 4. Control Flow

* [If Statements](./src/control_flow/test_if.py)
* [For Loops](./src/control_flow/test_for.py)
* [While Loops](./src/control_flow/test_while.py)
* [Exception Handling](./src/control_flow/test_try.py)
* [Break Statement](./src/control_flow/test_break.py)
* [Continue Statement](./src/control_flow/test_continue.py)

## 5. Functions

* [Function Definition](./src/functions/test_function_definition.py)
* [Function Scope](./src/functions/test_function_scopes.py)
* [Default Arguments](./src/functions/test_function_default_arguments.py)
* [Keyword Arguments](./src/functions/test_function_keyword_arguments.py)
* [Variable-Length Arguments](./src/functions/test_function_arbitrary_arguments.py)
* [Argument Unpacking](./src/functions/test_function_unpacking_arguments.py)
* [Lambda Functions](./src/functions/test_lambda_expressions.py)
* [Documentation Strings](./src/functions/test_function_documentation_string.py)
* [Function Annotations](./src/functions/test_function_annotations.py)
* [Function Decorators](./src/functions/test_function_decorators.py)

## 6. Object-Oriented Programming (OOP)

* [Class Definition](./src/classes/test_class_definition.py)
* [Class Objects](./src/classes/test_class_objects.py)
* [Instance Objects](./src/classes/test_instance_objects.py)
* [Method Objects](./src/classes/test_method_objects.py)
* [Class and Instance Variables](./src/classes/test_class_and_instance_variables.py)
* [Inheritance](./src/classes/test_inheritance.py)
* [Multiple Inheritance](./src/classes/test_multiple_inheritance.py)

## 7. Modules & Packages

* [Modules](./src/modules/test_modules.py)
* [Packages](./src/modules/test_packages.py)

## 8. Errors & Exceptions

* [Handling Exceptions](./src/exceptions/test_handle_exceptions.py)
* [Raising Exceptions](./src/exceptions/test_raise_exceptions.py)

## 9. File Handling

* [Reading and Writing Files](./src/files/test_file_reading.py)
* [File Methods](./src/files/test_file_methods.py)

## 10. Additional Python Concepts

* [Pass Statement](./src/additions/test_pass.py)
* [Generators](./src/additions/test_generators.py)

## 11. Standard Library Essentials

* [JSON Serialization](./src/standard_libraries/test_json.py)
* [File Wildcards (Glob)](./src/standard_libraries/test_glob.py)
* [Regular Expressions](./src/standard_libraries/test_re.py)
* [Mathematics](./src/standard_libraries/test_math.py)
* [Date & Time](./src/standard_libraries/test_datetime.py)
* [Data Compression](./src/standard_libraries/test_zlib.py)

## 12. User Input

* [Terminal Input](./src/user_input/test_input.py)

---

## Repository Structure

```text
src/
├── getting_started/
├── operators/
├── data_types/
├── control_flow/
├── functions/
├── classes/
├── modules/
├── exceptions/
├── files/
├── additions/
├── standard_libraries/
└── user_input/
```

## Learning Outcomes

After completing this repository, learners will be able to:

* Understand Python syntax and programming fundamentals.
* Work confidently with variables, operators, and data types.
* Implement conditional statements and loops.
* Create reusable functions.
* Apply Object-Oriented Programming concepts.
* Handle errors and exceptions effectively.
* Read and write files using Python.
* Utilize Python's standard libraries.
* Build a strong foundation for Automation, Data Science, AI, Machine Learning, and Agentic AI development.

---
## Author

**Mohamed Rasik R**

LinkedIn: [Mohamed Rasik A](https://www.linkedin.com/in/mohamedrasikr/)

---

Happy Learning! 🚀

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