The Python Fundamentals - Intermediate Course is designed to bridge the gap between basic programming knowledge and the advanced skills needed to become proficient in Python development. This course is perfect for learners who have a basic understanding of Python and are eager to take their skills to the next level by mastering more complex concepts and techniques.

Over the span of six weeks, participants will explore a wide range of topics that are essential for real-world Python programming, with an emphasis on best practices, efficiency, and scalability.

Week 1: Advanced Data Structures
The course kicks off with an in-depth look at Python’s built-in data structures. Learners will gain a comprehensive understanding of lists, tuples, dictionaries, and sets. The focus will be on advanced operations such as slicing, comprehension, and the various methods each data structure offers to efficiently manipulate and store data.

Week 2: Object-Oriented Programming (OOP)
A critical area of focus is Object-Oriented Programming (OOP), which is foundational for building scalable and maintainable Python applications. Learners will master key OOP concepts such as classes, objects, inheritance, encapsulation, and polymorphism. This week will empower learners to write more modular and reusable code.

Week 3: File Handling and Exception Handling
In this week, participants will learn how to handle file I/O in Python, including reading from and writing to files such as text, CSV, and JSON files. Exception handling will also be covered in detail, teaching learners how to handle errors gracefully in their code using try, except, and finally blocks, and how to create custom exceptions to manage errors effectively.

Week 4: Modules, Packages, and Virtual Environments
Python’s modularity is a powerful feature, and this week introduces learners to Python modules and packages. Participants will learn how to create custom modules, use built-in libraries, and work with third-party packages. The course also covers how to set up and manage virtual environments, ensuring that projects have isolated dependencies for easier development and deployment.

Week 5: Working with APIs and Databases
This week covers essential skills for working with external data. Learners will explore how to interact with APIs to retrieve and process data using the requests library, as well as how to work with databases using Python. By the end of this week, learners will be able to perform basic CRUD (Create, Read, Update, Delete) operations with SQLite and interact with JSON data fetched from APIs.

Week 6: Multi-Threading, Debugging, and Final Project
The final week delves into performance optimization techniques, such as multi-threading and multiprocessing, allowing learners to write more efficient code that can perform tasks concurrently. Debugging techniques using Python’s pdb and logging are covered, ensuring learners can troubleshoot their code effectively. In the final project, learners will apply everything they have learned throughout the course by developing a real-world Python application, consolidating their knowledge and preparing them for more complex coding challenges.

By the end of this course, learners will have the skills and confidence to take on more advanced Python projects, explore further areas of Python programming, and work on professional-level applications. The course provides a strong foundation for learners looking to specialize in Python development, data science, web development, or automation.