Fire Tech Camp was a great experience and the best camp I've ever been to. I think the camp does a great job in combining fun with learning.
Emma, 13yr old programmer
Teen Coding With Python II - Week-long
resetIn this course picker times will be displayed in timezone chosen above but all times shown elsewhere will reflect the UK Times these events take place.
Teen Coding With Python II – Week-long
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.
Course highlights
Taking 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
Become a better coder
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.
Featured FAQ
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.
Course Overview
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 online learning course taught live by an expert tutor who is DBS-checked. You will join a small group of other young learners, working together and making lots of progress 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.
This course is also available in part-time formats.
Course ratings
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How much did you enjoy your course? Score: 4.8/5 |
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How would you compare your experience at Fire Tech to school? Score: 4.5/5 |
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How likely are you to create with technology for fun, using the skills you learned? Score: 4.3/5 |
Source: Post-course feedback, 63 ratings, Apr-Jun 2020
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
- Learn about concepts of inheritance and operator overloading
- 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
Typical daily schedule
All Day
Part Day
1 hour
Lesson time
15 minutes
Break
1 hour
Lesson time
1 hour
Lunch
45 minutes
Lesson time
15 minutes
Break
45 minutes
Lesson and finish
1 hour
Lesson time
10 minutes
Break
50 minutes
Lesson and finish
Meet Leszek
Leszek studies Electronic and Information Engineering at Imperial College London and teaches our coding courses. He loves using his STEM skills to bring people together and recently created an Imperial college fantasy football app that connects 200 players together.
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