š Python Fundamentals
Welcome to the Python Sanctum ā where simplicity meets power.
These 15 lessons guide you through the core of modern programming.
Lesson 1: Introduction to Python
Discover what Python is and why it dominates the programming world.
Lesson 2: Syntax & Printing
Learn how to write and display your first lines of Python code.
Lesson 3: Operators
Work with arithmetic, comparison, and logical operators.
Lesson 4: Logical Expressions
Understand boolean logic and expression flow.
Lesson 5: Conditionals
Control program flow using if, elif, and else.
Lesson 6: Loops
Repeat actions efficiently using while and for loops.
Lesson 7: Functions
Organise your code into reusable blocks of logic.
Lesson 8: Scope & Variables
Understand local and global variables.
Lesson 9: Lists
Store and modify dynamic collections of data.
Lesson 10: Dictionaries
Store key-value pairs for structured data.
Lesson 11: File Handling
Read, write, and manage files using Python.
Lesson 12: Error Handling
Manage errors with try, except, and finally.
Lesson 13: OOP Introduction
Learn classes, objects, and OOP fundamentals.
Lesson 14: Inheritance
Reuse and extend classes using inheritance.
Lesson 15: Polymorphism
Override methods and create flexible class designs.
āļø Python Ascension
Advanced Python ā building powerful applications
The path to mastery ā learn object-oriented design, modules, and real-world error handling.
Lesson 16: Syntax Errors
Identify and fix syntax mistakes that prevent Python code from running.
Lesson 17: Runtime Errors
Understand and resolve runtime issues that occur during program execution.
Lesson 18: Coming Soon
š§ Under Construction ā stay tuned for the next chapter of your Python journey!
Lesson 19: Coming Soon
š§ Under Construction ā stay tuned for the next chapter of your Python journey!
Lesson 20: Coming Soon
š§ Under Construction ā stay tuned for the next chapter of your Python journey!
š Python Libraries
Working with Data & Visualisation
Explore the essential libraries that bring your data to life ā from analysis to charts.
Pandas: Data Analysis
Learn how to handle, clean, and analyse datasets with ease using the Pandas library.
Matplotlib: Data Visualisation
Master data storytelling ā create stunning charts, graphs, and visual reports.