Course Content
- Making Programs Robust
- Validation
- Regular Expressions
- Debugging
- Exception / Error Handling and Testing
- Common error types: syntax, runtime, logic
- Using try, except blocks
- Validation techniques
- Unit testing basics with assert
- Python Classes and Objects
- Introduction to classes and objects
- Defining a Class
- Creating Objects
- Attributes and methods
- __init__() constructor
- Inheritance
- Encapsulation (private vs. public)
- Algorithms
- Searching Algorithms
- Sorting Algorithms
- Trace tables and dry runs
- Modular Programming
- Creating modules and using import
- Code reusability and abstraction
- Project structure
- Basic Networking and APIs
- Using libraries like requests
- Calling APIs and parsing JSON
- Coursework / Project
- Problem identification
- Planning and design (flowcharts, pseudocode)
- Implementation using Python
- Testing and evaluation
- Documentation and presentation
Course Dates, Prices & Enrolment
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Training venue: Unit 15, Boardman House, 64 Broadway, Stratford, London E15 1NT, United Kingdom
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Frequently Asked Questions
Does my child need prior Python experience for this course?
Yes, students should already have a solid understanding of Python fundamentals, including loops, functions, modules, file handling, and basic problem-solving concepts before attending this course.
We highly recommend completing the Python for Teens Level 1 and Level 2 courses or having equivalent knowledge.
What will students learn in this course?
Students will learn advanced Python programming concepts including object-oriented programming, algorithms, exception handling, testing, modular programming, APIs, and software development best practices through practical coding exercises and projects.
Is this course suitable for A-Level Computer Science students?
Yes, the course aligns with A-Level Computer Science curriculum topics and is designed to help students strengthen programming and problem-solving skills relevant to advanced academic study.
Will students learn object-oriented programming (OOP)?
Yes, students will learn how to create classes and objects, work with attributes and methods, use constructors, and understand concepts such as inheritance and encapsulation.
Will students learn algorithms and problem-solving techniques?
Yes, the course introduces important algorithmic concepts including searching algorithms, sorting algorithms, trace tables, and dry runs to strengthen computational thinking and logical reasoning skills.
Will students learn how to work with APIs?
Yes, students will learn how to work with APIs using Python libraries such as requests, including making API calls and processing JSON data.
Will students complete a project during the course?
Yes, the course includes a coursework-style project where students will identify a problem, plan and design a solution, develop the program in Python, and test and evaluate their work.
What software do students need for the course?
Students can use Python IDLE, Visual Studio Code, or other Python development tools during the course.
Does my child need to install Python before the class?
Python can be installed before the class, but students may also use online tools or our browser-based platform. Guidance will be provided before the session if needed.
What equipment is required for the virtual classes?
Students will need a laptop or desktop computer with internet access, Zoom installed, and a working microphone or headphones for participating in the live sessions.
Will students receive support during the sessions?
Yes, the course is delivered live by an instructor, allowing students to ask questions, receive feedback, and get support throughout the sessions.
Will this course help students prepare for future technology careers?
Yes, the course introduces advanced programming and software development concepts that provide a strong foundation for future studies and careers in software engineering, AI, cybersecurity, data science, and other technology-related fields.
Will students receive a certificate after completing the course?
Yes, students will receive a certificate of completion after successfully finishing the course.
What can students learn after completing this course?
After completing this course, students can progress to advanced areas such as artificial intelligence, machine learning, data science, web development, cybersecurity, or professional-level software development with Python.
Will students learn debugging and testing techniques?
Yes, students will learn debugging techniques, validation methods, exception handling, and basic testing concepts to help them build more reliable and robust Python programs.