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Python Foundations
Introduction to Python: Get acquainted with Python's history and significance in the programming world.
Setting Up Your Environment: Step-by-step guidance to configure your Python environment for seamless coding.
Python Essentials: Explore Python's syntax, data types, variables, and basic operations.
Flow Control: Learn about conditional statements and loops, enabling you to control the flow of your programs.
Diving Deeper into Python
Functions and Modules: Master the art of writing functions and organising your code into modules for reusability.
Data Structures: Discover the power of lists, tuples, dictionaries, and sets for efficient data handling.
File Handling: Learn how to read from and write to files, making data manipulation more versatile.
Web Development with Python
HTML and CSS Basics: Lay the foundation for web development with HTML and CSS.
Flask Framework: Dive into Flask, a Python web framework, to build your first web applications.
Database Integration: Learn to connect your web applications to databases, making them dynamic and interactive.
Python for Data Science
NumPy and Pandas: Explore the data science libraries NumPy and Pandas for data manipulation and analysis.
Data Visualization: Dive into Matplotlib and Seaborn to create insightful data visualisations.
Machine Learning Introduction: Get a taste of machine learning with Python and its applications.
Automation with Python
Automating Tasks: Learn how to automate repetitive tasks with Python scripts.
Web Scraping: Discover the world of web scraping to gather data from websites.
GUI Automation: Use Python to automate actions in Graphical User Interfaces.
Advanced Python Topics
Object-Oriented Programming: Master the principles of OOP and apply them in Python.
Concurrency and Multithreading: Explore parallel programming in Python.
Testing and Debugging: Learn techniques for effectively testing and debugging your Python code.
Real-World Projects
Building a Web Application: Apply your web development skills to create a dynamic web application.
Data Analysis and Visualization: Work on a real dataset, analysing and visualising data.
Automation in Action: Create practical automation scripts to streamline your tasks
