01 Performance
By the end of this programme, learners independently design, write, test and debug original Python programs. They progress from their first line of code to a portfolio containing games, automation tools and a capstone application — demonstrating working-programmer habits: reading errors calmly, breaking problems down, and iterating.
02 Objectives
- Set up and navigate a professional development environment (Python + VS Code)
- Use variables, conditionals, loops, functions and core data structures correctly
- Read, trace and debug programs systematically
- Handle files, errors and external modules
- Decompose real problems into implementable Python solutions
- Present and explain their code to others
03 Content
Getting Started with Python
- What programming really is
- Installing Python & VS Code
- Your first program
- How to think like a programmer
Core Python Foundations
- Variables & data types
- Operators & input
- Conditionals & decisions
- Loops & repetition
Data Structures & Functions
- Lists, tuples & dictionaries
- String manipulation
- Writing reusable functions
- Modules & the standard library
Working with Files & Errors
- Reading & writing files
- Error handling with try/except
- Debugging techniques
Projects & Real Applications
- Console games & quizzes
- Automation mini-tools
- Introduction to libraries (requests, matplotlib)
- Final capstone project
04 Knowledge
- How computers execute instructions; what interpreters do
- Python syntax: indentation, naming conventions and style basics
- Data types and when to choose lists vs dictionaries vs tuples
- Control flow: branching logic and iteration patterns
- Functions, scope and code reuse
- Common runtime errors and debugging strategies
- Using official documentation effectively
05 Skills
- Writing syntactically correct, readable Python from scratch
- Tracing program state through loops and function calls
- Debugging using error messages and print-tracing
- Breaking problems into functions and data flows
- Building small interactive console applications
- Automating simple repetitive computer tasks
06 Key Competencies
- Computational thinking: decomposition, pattern recognition, abstraction
- Systematic debugging under time pressure
- Reading documentation and applying it to new problems
- Code review etiquette — giving and receiving feedback
- Self-directed learning with reference material
07 Values
- Excellence: doing careful, complete work rather than rushing
- Integrity: honest effort, original work and truthful reporting
- Curiosity: asking questions and exploring beyond the lesson
- Responsibility: safe, ethical use of technology and information
- Growth mindset: treating mistakes as steps toward mastery
08 Learning Activities
Guided lessons
Interactive teaching sessions covering each module of Python Programming with live demonstration and questioning.
Hands-on practice
Supervised individual exercises immediately applying each topic — the majority of contact time.
Mid-programme checkpoint (Data Structures & Functions)
A reviewed mini-assessment confirming understanding before progressing.
Capstone experience
An end-of-programme project or assessment integrating all modules, presented for feedback.
09 Teaching & Learning Resources
- Dynamic Academy course materials and practice sets
- A laptop or desktop with required free software installed
- Internet access for research and tool accounts
- Access to the student portal for announcements, assignments and progress tracking
10 Evaluation Guide
11 Practical Projects
Project 1:Number Guessing Game
A loop-driven game with input validation — first taste of complete program logic.
Project 2:Personal Expense Tracker
A file-backed tool storing records in dictionaries, printing useful summaries.
Project 3:Capstone: Automation or Game
Learners choose a real automation task or a polished game, built and presented individually.
12 Learning Outcomes
- Write clean, well-organised Python programs confidently
- Use variables, loops, functions and data structures correctly
- Work with files and external libraries
- Build console games, automation scripts and mini-applications
- Understand problem-solving patterns used by professional developers
- Be ready to progress to AI, data analysis or web development
13 Course Pathway
Learners progress through a guided technology ladder at Dynamic Academy: foundations (Digital Skills / HTML & CSS / Python Programming), then specialisation (Web Development, Artificial Intelligence, Robotics, Game Development, UI/UX Design), then advanced practice (Backend Development, AI Chatbot Development). Each stage's final project feeds the next stage's portfolio.