Python Tutorial: A Complete Guide
Your beginner-friendly journey into Python — the versatile language for web development, data science, and automation. Each chapter includes explanations, code examples, diagrams, and a hands-on exercise.
Table of Contents
- 1. Getting Started Overview, History, Features, Environment Setup, Virtual Environment, Hello World
- 2. Syntax & Control Flow Basic Syntax, Variables, Data Types, Operators, Comments, If/Else, Loops, Match-Case
- 3. Functions & Modules Functions, Arguments, Scope, Annotations, Modules, Built-in Functions
- 4. Strings Slicing, Modification, Concatenation, Formatting, Methods
- 5. Lists Access, Change, Add, Remove, Looping, Comprehension, Sorting, Methods
- 6. Tuples Access, Update, Unpacking, Joining, Namedtuple, Methods
- 7. Sets Access, Add, Remove, Joining, Operators, Methods
- 8. Dictionaries Access, Change, Add, Remove, Looping, Nested Dictionaries, Methods
- 9. Arrays Access, Add, Remove, Looping, Sorting, Joining, Methods
- 10. File Handling Reading, Writing, Renaming, Deleting, Directories, File Methods
- 11. OOP Classes, Objects, Inheritance, Polymorphism, Encapsulation, Abstraction, Data Classes
- 12. Errors & Exceptions try/except, Raising Exceptions, Logging, Assertions, Debugging with PDB
- 13. Multithreading Thread Basics, Synchronization, Pools, Daemon Threads, Deadlocks
- 14. Networking Socket Programming, URL Processing
- 15. Libraries NumPy, Pandas, SciPy, Matplotlib, Django, OpenCV
- 16. Miscellaneous Date/Time, Iterators, Generators, Lambdas, Decorators, Regex, JSON, GUI
- 17. Advanced Concepts Metaclasses, Context Managers, Coroutines, Descriptors, Memory Management
- 18. Practice & Resources Q&A, Interview Prep, Quiz, Cheatsheet, Projects, Resources
- 19. References Python Reference, NumPy, Pandas, Matplotlib, SciPy Reference