Advanced Python Tutorial

Advanced Python Tutorial

Python is a versatile programming language widely used across various technical domains. While certain applications only require basic knowledge of Python, advanced fields like Data Science, Artificial Intelligence, and Robotics demand a deeper understanding of Python’s capabilities.

Complete Python Course with Advance topics:-Click here

Pre-requisites

Before diving into advanced Python topics, ensure you have a solid grasp of basic Python concepts.

Advanced Python Topics

1. Advanced Conditional Statements

Learn complex conditional structures to handle intricate decision-making processes efficiently.

2. List Comprehension

Master the art of creating concise and readable lists using list comprehension.

3. Python Dictionary Comprehension

Create dictionaries dynamically using dictionary comprehension techniques.

Functional Programming Concepts

4. Lambda Operator

Use anonymous functions for short-term use in your code.

5. Filter

Apply the filter() function to extract elements from an iterable based on a condition.

6. Reduce

Perform cumulative operations on iterables using the reduce() function.

7. Map

Transform iterables by applying a function to every element using the map() function.

8. Recursive Functions

Understand and implement recursive solutions for problems like factorial calculation, Fibonacci series, and more.

Regular Expressions

9. Basics of Regular Expressions

Learn to match, search, and manipulate text effectively using regex patterns.

10. Advanced Regular Expressions

Dive deeper into regex for complex pattern matching, including the following use cases:

• Check if a string starts and ends with the same character.
• Password validation.
• Extracting email addresses.
• Validating UPI IDs.

Object-Oriented Programming (OOP)

11. Core Concepts of OOP

• Classes and Objects: Build reusable and modular code structures.
• Inheritance: Share and extend functionalities across classes.
• Encapsulation: Protect sensitive data by bundling it with methods.
• Polymorphism: Implement multiple forms of a method.
• Data Abstraction: Simplify complex systems by showing only the necessary details.

12. Operator Overloading

Customize how operators behave for user-defined objects.

Iterables, Iterators, and Generators

13. Difference Between Iterable and Iterator

Understand the distinctions and how to use them effectively.

14. Python __iter__() and __next__()

Explore iterator protocols in Python.

15. Generators in Python

Learn how to create efficient iterables with generator functions.

Closures and Decorators

16. Closures

Encapsulate function logic along with the environment it was defined in.

17. Decorators

• Create simple decorators.
• Define decorators with arguments.
• Build classes as decorators.

18. Monkey Patching

Dynamically modify or extend behavior at runtime.

Special Methods

19. @staticmethod and @classmethod

• @staticmethod: Define methods that don’t depend on the class or instance.
• @classmethod: Access class-specific data within methods.

Memory Management

20. Garbage Collection and Reference Counting

Understand how Python manages memory efficiently.

21. Mutable vs Immutable Objects

Learn the differences and their implications on memory usage.

22. Memory Profiling

Analyze memory usage to optimize your Python programs.

23. Deep Copy vs Shallow Copy

Understand the key differences to avoid common pitfalls.

Optimization Tips

24. How Python Stores Integers

Delve into how Python handles memory allocation for integers.

Testing

25. Testing with Pytest

Write robust and reusable test cases using Pytest.

26. DocTests and UnitTests

Validate your code directly from docstrings and write modular test cases.

Download New Real Time Projects :-Click here
PHP PROJECT:- CLICK HERE

advanced python topics
Advanced Python Tutorial
advanced python tutorial topics w3schools
advanced python tutorial programming examples
advanced python syllabus
advanced python notes
advanced python course
advance python notes pdf
advanced python projects
python tutorial
advanced python tutorial w3schools
advanced python tutorial for beginners