Advanced Python Programming

Take your Python skills to the next level with real-world problem solving, advanced concepts, and industry use cases.

📘 Course Overview

This course is designed for learners who already know basic Python and want to level up. It covers advanced language features, performance optimization, and integrations used in professional software development.

🧠 What You Will Learn

  1. Advanced Data Structures

    • Sets, Tuples, Collections, and Custom Containers

    • Iterators, Generators, and Comprehensions

  2. Object-Oriented Programming (OOP) Deep Dive

    • Classes, Inheritance, Encapsulation, Polymorphism

    • Magic Methods & Operator Overloading

    • Abstract Classes & Interfaces

  3. Functional Programming

    • Lambda, map(), filter(), reduce()

    • Decorators and Closures

    • Immutability and Higher-Order Functions

  4. Error Handling & Logging

    • Custom Exceptions

    • Try/Except/Else/Finally Patterns

    • Using the logging Module

  5. Modules & Packages

    • Creating and Organizing Packages

    • Working with Virtual Environments

    • Dependency Management (pip, requirements.txt, poetry)

  6. Advanced File Handling

    • File I/O, CSV, JSON, YAML

    • Binary & Buffered Streams

    • Working with Large Files

  7. Concurrency & Parallelism

    • Threads vs Processes

    • Multiprocessing Module

    • Asyncio and Event Loops

  8. Pythonic Code & Best Practices

    • PEP8 Standards

    • Comprehensions and One-liners

    • Writing Clean, Readable, and Maintainable Code

  9. Testing & Debugging

    • Unit Testing with unittest and pytest

    • Test Coverage & Mocking

    • Debugging Tools and Techniques

  10. Working with APIs & Web Requests

    • REST APIs using requests

    • Consuming & Sending JSON Data

    • Basic API Authentication

  11. Database Integration

    • SQLite and PostgreSQL with sqlite3 & psycopg2

    • ORM Basics with SQLAlchemy

  12. Project Work

    • Real-life mini projects involving APIs, data processing, and modular code architecture

    • GitHub project submission and code review

⏱ Duration:

6–8 Weeks | Weekday & Weekend Batches

 

🎓 Who Can Enroll:

Students, Professionals, Automation Engineers, Backend Developers, Data Enthusiasts

 

✅ Course Highlights

  • Instructor-led sessions

  • Live coding exercises

  • Code review and Git workflows

  • Certification of completion

  • Offline + Online modes available

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