💬 How to Use
The virtual library is full of extra resources such as tutorials, podcasts, books, articles and videos. They cover each of the topics in the GCSE, as well as some that are just really interesting. If you have a spare period or want to find out more about something then use this library to help you.
😄 Fun, interesting and useful stuff
Podcasts
- The Infinite Monkey Cage – Mostly focuses on the other sciences but there are episodes dedicated to CS and the people they talk to are worth looking at too.
- Cortex – Two guys talking about tech and how to work efficiently
- More or Less – All about statistics and making sense of them
- Darknet Diaries – Looks at cybercrime and interviews criminals and victims
- What’s your problem – Engineers talk about the future and how they’re trying to solve the problems we face
- TWiT – This Week in Tech – Talks about up and coming tech products and news
- Software Engineering Radio – As the name suggests
- This Developer’s Life – What are the hurdles you’ll face as a programmer in the world of work
- The Changelog – Conversations with hackers, leaders and innovators
Youtube
- Techquickie – Short videos on tech history or weird facts
- Introversion Software – The CEO and lead developer of an indie game studio talk through their games and how they made them and are updating.
- Computerphile – Videos on all aspects of computers and how they work
- Noclip – Documentaries on how video games have been developed, talking to the actual developers.
Websites
- Hacker News – https://news.ycombinator.com/ – Similar to Reddit but focused on tech news
- StackOverFlow – https://stackoverflow.com/ – For any errors or issues with code
Books
- https://www.wired.com/gallery/best-tech-books-to-gift/ – Any of these books are a great read
Paper 1 – Theory
💭 Topic 1 – Computational Thinking
Python Object Oriented Programming (OOP) – For Beginners
Object Oriented Programming or OOP for short, is how many programs are made in the real world. This system uses inheritance and objects to make your programming more efficient and easier to understand. This video explains how to do this in Python.