Python Fundamentals Tutorial – Variables, Loops, Functions, OOP & APIs
Learn Python fundamentals with this complete tutorial. Covers variables, loops, functions, object-oriented programming (OOP), and working with APIs. Perfect for beginners, developers, and AI enthusiasts to build a solid Python foundation for programming, AI, data science, and web development.
1. Introduction to Python
Python is a powerful, easy-to-learn programming language widely used in web development, AI, data science, and automation. Its clear syntax and readability make it perfect for beginners.
Best Practices:
- Write clear, meaningful variable names.
- Follow PEP 8 style guide (Python standard).
- Use comments to explain your code (
# This is a comment).
2. Variables in Python
Variables are containers to store data values. Python is dynamically typed, meaning you don’t need to declare the data type explicitly.
Example:
Best Practices:
- Use snake_case for variable names:
first_name,total_count. - Avoid single-letter names unless used in loops.
- Keep variables meaningful and descriptive.
3. Loops in Python
Loops help automate repetitive tasks. Python has for and while loops.
For Loop Example:
While Loop Example:
Best Practices:
- Avoid infinite loops; ensure condition will eventually become False.
- Use
breakto exit loops early andcontinueto skip iterations. - Prefer
forloops overwhileloops when iterating a known range.
4. Functions in Python
Functions allow you to reuse code and improve readability.
Example:
Best Practices:
- Give functions descriptive names (
calculate_areainstead offunc1). - Keep functions short and focused; one function should do one task.
- Use docstrings to describe what the function does.
5. Object-Oriented Programming (OOP)
OOP helps structure code with classes and objects for better organization and scalability.
Example:
Key Concepts:
- Class: Blueprint for objects.
- Object: Instance of a class.
- Inheritance: Reuse and extend functionality.
- Encapsulation: Keep data safe using private variables.
Best Practices:
- Name classes in CamelCase (
Person,Car). - Keep methods focused and reusable.
- Avoid deeply nested code inside classes.
6. Working with APIs
APIs allow your Python program to communicate with other services. Python’s requests library makes it easy to send HTTP requests.
Example:
Best Practices:
- Always handle errors with
try/except. - Use descriptive variable names (
response,data). - Respect API rate limits and authentication requirements.
Example with error handling:
7. Summary & Best Practices
By mastering these topics, beginners can build a solid foundation in Python:
- Variables: store and manipulate data effectively.
- Loops: automate repetitive tasks.
- Functions: write reusable, readable code.
- OOP: structure programs for scalability.
- APIs: interact with external data and services.
General Best Practices:
- Use comments and docstrings to explain your code.
- Follow PEP 8 style guide.
- Keep code modular and reusable.
- Test your code frequently and handle errors gracefully.