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Python: Unleashing Your Inner Python Ninja 🐍

The repository is a comprehensive guide tailored to enhance Python skills. It caters to both beginners and experienced developers, offering in-depth tutorials, practical examples, and hands-on exercises covering a wide range of Python topics. From fundamental concepts to advanced techniques, each section aims to equip learners with the knowledge and skills to navigate Python proficiently. The repository provides a structured and easily understandable approach, facilitating quick progress for learners. Additionally, it offers insights into techniques applicable to other programming languages and fosters community engagement for skill improvement. Whether you're starting out or seeking to refine your Python expertise, this repository serves as an invaluable resource.

1. Python Basics 📚
2. Control Flow 🔄
3. Functions 🎯
4. Errors ❌
5. Modules 📦
6. Lists 📋
7. OOP 🏗️
8. Built in Functions 🛠️
9. Dataclasses 📇
10. AsyncIO ⚙️
11. Advanced 🚀
12. Multiprocessing ⚙️
  • Processes
  • Pools Map
  • Pools Starmap
  • Pools Multiple Functions
  • Data Sharing Issue
  • Pipes
  • Queues
  • Lock & Semaphores
13. Multithreading 🔄
  • Threads
  • Locks
  • Daemon-Threads
  • Semaphores
  • With Lock Semaphore
  • Race Conditions
14. Unit-Testing 🔄
  • Introduction
  • Fixtures
  • Conftest
  • Marks
  • Parametrize
  • Testing Errors
15. File-Management 📁
  • File Handling
  • Reading Files
  • Writing Creating
  • Deleting Files
  • JSON
  • Handling JSON
  • Caching JSON
  • Glob
  • Pickling
  • YAML
  • TOML
16. Design Patterns 🎨
  • Creational Patterns
  • Structural Patterns
  • Behavioral Patterns
17. GUI
  • PySide Basics
  • Using QT Designer for Rapid UI Development
  • Working with Menus and Toolbars
  • Dialogs and Input Handling
  • Advanced Widgets and Customization
  • Signal-Slot Mechanism
  • Multi-Threading with PySide
  • Building Data-Driven Applications
  • Incorporating Multimedia and Graphics
  • Creating Cross-Platform Applications
  • Real World Projects
18. Projects 🎨
  • Heatmap
  • Race Condition
  • Path Normalizer
19. Tips & Tricks 🎨
  • F-Strings
  • Tuples & Type Hinting
  • Flattening Lists
  • Elipses
  • Linting
  • #NOQA
  • Concatenating Strings
  • Backslashes
  • Underscores
  • List vs Arrays
  • IIFE in Python

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