Advance Python Programming Course

An Advanced Python Programming Course dives deeper into Python's powerful features and specialized applications. It covers topics like object-oriented programming (OOP), decorators, generators, multithreading, asynchronous programming, and working with AP

What you'll learn:

  • Basics of Python Programming

  • Core Python Concepts

  • Modules and Libraries

  • File Handling and Data Management

  • Error Handling and Debugging

  • Advanced Python Concepts

  • Working with External Libraries

Course content

An Advanced Python Programming Course is designed for individuals with foundational Python knowledge who want to master more sophisticated concepts and applications. The course covers advanced topics that enable learners to tackle complex programming challenges and build efficient, scalable solutions in real-world scenarios.

Key Topics Covered:

  1. Advanced Object-Oriented Programming (OOP):

    • Inheritance, polymorphism, and encapsulation in depth.
    • Abstract classes, interfaces, and metaclasses.
    • Magic methods and operator overloading.

  2. Functional Programming:

    • Higher-order functions like map(), filter(), and reduce().
    • Lambda expressions and comprehensions.
    • Closures, decorators, and the functools module.

  3. Concurrency and Parallelism:

    • Multithreading and multiprocessing.
    • Asynchronous programming using asyncio.
    • Handling race conditions and thread safety.

  4. File and Database Operations:

    • Advanced file handling techniques.
    • Working with databases using SQLite and ORMs like SQLAlchemy.

  5. Error Handling and Debugging:

    • Writing robust code with custom exceptions.
    • Debugging tools like pdb and logging.

  6. Advanced Libraries and Frameworks:

    • Data manipulation with NumPy and Pandas.
    • Visualization with Matplotlib and Seaborn.
    • Web development using Flask or Django.
    • Web scraping with BeautifulSoup and Scrapy.

  7. Working with APIs and Networking:

    • Consuming and building RESTful APIs.
    • Sending HTTP requests with requests and http.client.

  8. Testing and Optimization:

    • Writing unit and integration tests with unittest and pytest.
    • Performance profiling and code optimization.

  9. Modern Python Features:

    • Using type hints and annotations.
    • Exploring dataclasses, collections, and itertools.
    • Understanding Python’s garbage collection and memory management.

  10. Real-World Projects:

    • Building automation scripts.
    • Developing small-scale web applications.
    • Creating data pipelines and performing data analysis.

Course Benefits:

  • Gain proficiency in writing efficient, clean, and maintainable Python code.
  • Learn to solve advanced programming problems and optimize performance.
  • Build a portfolio with real-world projects, showcasing skills in web development, data analysis, or automation.
  • Prepare for roles such as Python developer, data scientist, or software engineer.

This course provides comprehensive training to enhance programming skills and opens opportunities in fields like data science, artificial intelligence, web development, and more.

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