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This repository serves as a comprehensive collection of code examples and scripts covering essential concepts in Python programming. Whether you are a beginner looking to grasp the basics or an experienced developer seeking reference material, this repository provides a structured approach to learning and understanding Python fundamentals.

License: MIT License

Jupyter Notebook 0.98% Python 99.02%
conditions control-flow csv datatypes functions integrated-development-environment json loops-and-iterations python3 syntax

python-fundamentals's Introduction

python-fundamentals

Python Fundamentals Series

Welcome to the Python Fundamentals Series repository! ๐Ÿš€ This comprehensive series is designed to build a strong foundation in Python programming. Whether you're a beginner or looking to deepen your understanding, these topics will guide you through essential concepts.

Series Overview

  1. Getting Started with Python:
  • Install Python and set up your development environment.
  • Introduction to Integrated Development Environments (IDEs).
  • Write the traditional "Hello, World!" program.
  1. Python Data Types and Type Casting:
  • Explore variable assignment and basics.
  • Understand Number, String, and Boolean Data Types.
  • Learn about the "type" functions and type casting in Python.
  1. Essential Python Collections:
  • Dive into Lists, Tuples, Sets, and Dictionaries, along with their associated functions.
  1. Mastering Python Operators:
  • Cover Arithmetic, Comparison, Logical, Assignment, and Bitwise Operators.
  • Understand Membership and Identity Operators.
  1. Conditional Statements:
  • Learn the syntax of if, elif, and chained elif statements.
  • Explore nested statements, short circuit evaluation, and ternary operators.
  1. Exploring Python Loops:
  • Understand for loop syntax and iterations.
  • Explore the range() function and its usage.
  • Learn about nested for loops and the syntax of while loops.
  1. Mastering While Loops and Advanced Iteration:
  • Explore loop-based conditions, break, and continue statements.
  • Iterating with enumerate() and zip() for advanced iteration.
  1. Mastering Python Functions:
  • Learn function declaration, best practices, and parameters.
  • Explore return statements, function documentation, and advanced topics.
  1. Understanding Errors and Exceptions:
  • Differentiate syntax errors and exceptions.
  • Explore common types of exceptions and effective handling strategies.
  1. Mastering Python Modules:
  • Introduce modules and modular programming.
  • Learn about creating, importing, and aliasing modules.
  1. Handling File Operations:
  • Understand the importance of file handling.
  • Explore basic file operations, modes, and text file handling.
  1. Exploring JSON and Advanced File Handling:
  • Learn about JSON as a data interchange format.
  • Explore reading and writing JSON files, error handling, and advanced techniques.

Expand your Python skills with these in-depth tutorials. Happy coding! ๐Ÿโœจ

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