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Everything You Need to Confidently Learn Python

Learn effectively with structured lessons, hands-on coding tasks, and revolutionary AI assistance built right into your learning experience.

Your Personal AI Tutor: Get unstuck instantly! Ask questions, clarify doubts, and receive personalized guidance 24/7 from your integrated AI coding companion.
Beginner-Focused Curriculum: Start from scratch with clear, step-by-step lessons specifically designed for those with zero prior coding experience.
Hands-On Tasks: Apply what you learn immediately with practical coding exercises after each topic. Your AI assistant is there to help if you need a nudge.
Track Your Progress Clearly: Stay motivated and see how far you've come. Easily track your completed lessons, mastered concepts, and task achievements throughout your learning journey.

See What Our Students Are Saying

Join hundreds of beginners learning Python the smarter, AI-assisted way.

"Starting Python seemed challenging, but this course explained things clearly. The AI assistant was really useful for getting hints on the practice tasks whenever I needed clarification, which helped build my confidence."

Chloe R.

Aspiring Developer
"Other courses didn't quite work for me, but I'm making steady progress here. Getting quick AI help directly on the coding tasks when I encounter issues makes a noticeable difference in moving forward."

Mark T.

Engineer
"The AI helper is very practical during the coding exercises. It helps clarify errors efficiently, which definitely supports the hands-on learning approach and improves understanding."

Priya S.

University Student

Simple, Transparent Pricing

Choose the plan that fits your learning pace and AI usage needs. Cancel anytime.

Basic

Get started with the essentials and moderate AI assistance.

£15 /month

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Access to the full course content
100 AI queries per month
All future course updates

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For power learners needing extensive AI assistance.

£30 /month

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Access to the full course content
1000 AI queries per month
All future course updates

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Lifetime course access and a generous AI query allowance.

£120 one-time

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Lifetime access to the full course content
2500 AI queries (total allowance)
All future course updates

Comprehensive Course Content

Explore the structured curriculum covering foundational to advanced Python concepts, all designed for beginners. Click modules to expand.

Module 1: Introduction to Python

What is Python and why learn it
Installing Python
Using the Python interpreter and IDLE
Writing and running your first program

Module 2: Python Syntax Basics

Basic syntax and indentation
Comments and documentation
Print statements and basic output
Variables and naming conventions

Module 3: Data Types

Numbers (integers, floats)
Strings and text manipulation
Booleans and logical values
Type conversion and checking

Module 4: Basic Operations

Arithmetic operators
Assignment operators
Comparison operators
Logical operators

Module 5: Strings in Depth

String creation and formatting
String methods and operations
String indexing and slicing
f-strings and formatted output

Module 6: Data Structures: Lists

Creating and accessing lists
List methods
List slicing and manipulation
List comprehensions for beginners

Module 7: Data Structures: Dictionaries

Creating and accessing dictionaries
Dictionary methods and operations
Nested dictionaries
Common dictionary patterns

Module 8: Data Structures: Tuples and Sets

Tuples: immutable sequences
Sets and set operations
When to use which data structure
Converting between data structures

Module 9: Control Flow: Conditionals

If statements
Else and elif statements
Nested conditionals
Conditional expressions (ternary operator)

Module 10: Control Flow: Loops

For loops and iteration
While loops
Loop control (break, continue)
Nested loops

Module 11: Functions

Defining and calling functions
Parameters and arguments
Return values
Variable scope and lifetime

Module 12: Function Advanced Concepts

Default parameters
Keyword arguments
Variable-length arguments (*args, **kwargs)
Lambda functions

Module 13: Modules and Packages

Importing modules
Creating your own modules
The standard library
Installing third-party packages with pip

Module 14: File Operations

Reading from files
Writing to files
Working with CSV files
File paths and management

Module 15: Error Handling

Understanding exceptions
Try-except blocks
Multiple exception types
Finally and else clauses

Module 16: List Comprehensions and Generators

Advanced list comprehensions
Dictionary and set comprehensions
Generator expressions
When to use comprehensions

Module 17: Introduction to Object-Oriented Programming

Classes and objects
Attributes and methods
Constructors and initialization
Inheritance basics

Module 18: Working with Dates and Times

The datetime module
Creating and formatting dates
Date calculations and timedeltas
Time zones (basic introduction)

Module 19: Regular Expressions

Pattern matching basics
Common regex patterns
The re module
Practical regex examples

Module 20: Introduction to Python Libraries

Working with JSON
Introduction to NumPy
Introduction to Pandas
Data visualization with Matplotlib

Module 21: Command Line Arguments

Accepting input from the command line
The sys.argv list
Using the argparse module
Creating command-line tools

Module 22: Virtual Environments

Why use virtual environments
Creating and activating environments
Managing package dependencies
Requirements files

Module 23: Debugging and Testing

Common Python errors and how to fix them
Using print for debugging
The Python debugger (pdb)
Introduction to unit testing

Module 24: Best Practices and Coding Style

PEP 8 style guide
Code organization
Naming conventions
Documentation and comments

Module 25: Small Projects for Beginners

Command-line calculator
Simple text-based game
Data analysis mini-project
Web scraping introduction

Conclusion & Next Steps

Review of key concepts learned
Suggestions for further learning paths
Building your portfolio
Joining the Python community

The New Era of Learning Python