Computing Basics: Gain a solid foundation in computing principles, including an overview of operating systems. Operating Systems: Explore how operating systems manage hardware and software resources, including memory management, process scheduling, and file systems. Understand the role of operating systems in program execution, providing a deeper context for how your  programs interact with the underlying system.

Algorithms and Data Structures: Master the fundamental algorithms and data structures essential for efficient programming. Study and understand different types of algorithms including sorting (e.g., quicksort, mergesort) and searching algorithms (e.g., binary search), understanding their time and space complexities. Learn about data structures like arrays, linked lists, stacks, queues, trees, and graphs. Practical coding sessions will guide you in implementing these algorithms and data structures in Python, applying them to solve real-world problems effectively.

Introduction to Python Programming: Start with the basics of Python, understanding its syntax, variables, data types, and control structures. Learn  Python Concepts on how to write clean and efficient code using Python’s built-in functions and libraries. You will engage in practical exercises to become comfortable with Python’s core features, including loops, conditionals, and functions. Explore Data structures like lists, tuples, dictionary etc.  By the end of this section, you will be able to write simple scripts and understand the flow of Python programs.

Version Control with Git: Understand how to use Git for version control, an essential skill for modern software development. Understand the importance of version control in software development and how it helps manage changes to code over time.  Learn the fundamental concepts of Git, including repositories, commits, branches, and merges. Understand how to initialize a repository, track changes, and manage your code history. Explore advanced Git workflows involving branching and merging. Learn how to create and switch between branches, handle merge conflicts, and use rebasing for cleaner project history. 

Advanced Python Concepts: Dive deeper into advanced topics such as object-oriented programming (OOP), file handling, and exception management. Learn Object-Oriented Programming to create classes and objects, encapsulate data, and implement inheritance and polymorphism in Python.  Understand File Handling and learn how to handle files and directories, read and write data to files, and manage different file formats. Learn Exception Management to anticipate and handle errors gracefully using try-except blocks, ensuring your programs are robust and user-friendly. Learn Decorators to create and use decorators to modify the behavior of functions or methods dynamically. Also learn advanced data structures like Collections, Heap and Priority Queues, Trees and Graphs etc. Learn how to use the threading module to run multiple threads concurrently and manage thread synchronization with locks, events, and semaphores.

Working with Libraries and Frameworks: Discover the power of Python’s extensive library ecosystem. Learn numerical computing with NumPy, focusing on array manipulations and mathematical operations. Master data manipulation and analysis using Pandas, working with DataFrames to handle and process large datasets efficiently. Create data visualizations with Matplotlib and Seaborn, turning data insights into compelling visual stories. Learn web scraping techniques using Requests and Beautiful Soup, automating data collection from the web. Learn Many More Interesting Libraries and Frameworks that will help you write sophisticated , industrial grade code.

Working with Databases: Understand what databases are, the types of databases (relational vs. non-relational), and their uses. Learn the basics of SQL (Structured Query Language) for interacting with relational databases. This includes writing queries to create, read, update, and delete (CRUD) data. Use the built-in sqlite3 module to create and manage SQLite databases, perform CRUD operations, and execute SQL queries. Dive deeper into complex SQL queries, including joins, subqueries, and transactions. Learn how to use SQLAlchemy, a powerful ORM, to interact with databases (POSTGRESS) in an object-oriented manner. Understand how to map database tables to Python classes and perform CRUD operations seamlessly. Introduction to NoSQL databases like MongoDB, understanding their structure and how to interact with them using Python libraries like PyMongo. 

Web Development Using Python: This section will introduce you to web development using Python, enabling you to create dynamic and interactive web applications. Understand the basics of web development, including how the web works, the client-server model, and HTTP protocols. Learn how to use Flask, a lightweight and flexible web framework for Python, to build web applications. Learn how to setup a Flask project, routing, handling requests and responses, and rendering templates with Jinja2. Explore Django, a high-level web framework that encourages rapid development and clean, pragmatic design. Learn about Django’s project structure, models, views, templates

Project Development and Best Practices: Apply what you have learned by working on real-world projects. Develop applications ranging from simple automation scripts to more complex programs that solve practical problems, such as a personal finance tracker or a web scraper for collecting data. Understand coding best practices, including writing clean and maintainable code, using version control with Git, and implementing testing and debugging techniques to ensure your programs are reliable and error-free.