"I learnt so much and the course has definitely made me consider studying computer science and coding in the future."Aaniya, Teen student
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Teen Coding With Python II – Self-guided
Advanced Teen Python Programming Course
Take your coding further with this second step in learning Python. This course builds on the Python fundamentals covered in the Teen Coding with Python course.
Teen Coding With Python II – Self-guided
For online courses: these require you to have a capable computer to work on and a broadband internet connection. Most PC/Mac computers from the last 5 years will be fine but you can view our recommended detailed system requirements here. For on campus courses: laptops are provided for all junior courses, as well as Music, Unity, Creative Design & YouTube senior courses. Laptop rental is available for all other senior courses (£50 extra).
The next step
Take your journey into Python to the next level, extending and deepening your understanding of the language that underpins the vast majority of AI and Machine learning projects.
Build on the basics
Build on the fundamentals learnt in our Teen Coding with Python 1 course
Advance your skills
Become self-sufficient when programming in Python. Learn to debug, test and design your programs to be robust as well as where to go for help and support.
What are the course instructors like?
Programme Leaders have a strong background in education coupled with technical expertise in the area they teach. They are supported by Camp Tutors, who are most frequently talented Computer Science …
Programme Leaders have a strong background in education coupled with technical expertise in the area they teach. They are supported by Camp Tutors, who are most frequently talented Computer Science and Engineering students from the UK's leading universities.
All our instructors undergo in-person training from the Fire Tech team in the curriculum of the course they are teaching, in the Fire Tech mission and values, and in our Child Safety Policies. We select our instructors on technical expertise but also for great communication skills and a real passion for their subject.
Take your coding further with this second step in learning Python. This course builds on the Python fundamentals covered in the Teen Coding with Python course and helps you to deepen your knowledge of this powerful and popular coding language that is helping a wide range of industries push the boundaries of digital innovation and creation.
Our specialist tutors will help you to develop more robust programming proficiency by developing your knowledge and use of advanced strings & expressions, file IO’s and data structures applied within challenge-focused environments.
Whether you dream of building the next million pound start-up, working at Facebook or Google, or becoming a Data Scientist, this course will give you a valuable skill to build a rewarding career in whatever field you choose.
This is an independent learning course, with a focus on project work. Students will work independently at their own pace through learning materials and assignments, and also have weekly live onscreen tutorials for sharing progress and problem-solving.
There are 5 weekly tutorials, lasting 1 hour each. These tutorials are led by an expert, fully DBS-checked instructor, and you will join a small group of other young learners online, working together in fun and interactive sessions. All sessions are monitored and recorded for safety.
For details of how this course covers the coding components of GCSE Computing, download the mapping grid here. Students will also cover topics such as Object Oriented Programming and Creating GUIs which they often won’t encounter until they study Computer Science at A Level or beyond.
What your child will learn
- Explore Object Oriented Programming in more depth, following on from its introduction in Teen Coding with Python 1
- Explore different Python IDEs and which is the best choice for a given use case
- How to install third-party libraries to extend Python's functionality
- Automated testing of programs
- Making Python code interact with websites, web services and online data sources
- Identify everyday tasks that could be automated using Python