University of Edinburgh Programming Club
Theme by mattgraham
Time: Monday's 11am - 1pm
Room: Appleton Tower 3.09
The club is set to start with its first session in week 2 (21.01.19)
This completely voluntary, no credits club is for undergraduate students to get more practical programming experience. It is held once a week during term time. For a couple of hours in a relaxed lab students have the chance to work on different challenges, play with some cool toys and engage with fun programming projects.
Here are a couple of programming projects you might enjoy. We aim to add more as we go. Feel free to suggest one yourself if you have a good idea!
We run competitive programming sessions where you can practice your coding skills on problems of varying difficulty. This is not only fun but most helpful for job interviews which all of you will face eventually when applying for a job in industry or academia that involves programming. We aim to publish the latest programming problems here.
We are also sending teams to the International Collegiate Programming Contest (ICPC) and host our own competitions.
Box of Toys
The School of Informatics generously bought us a whole bunch of fun toys to play with. All of them are programmable in various languages and difficulty ranging from Scratch over Python to C and assembler. Here is a noncomprehensive list to give you a taster.
The internet is full of resources to satisfy your programming needs on every level. Here are some useful links.
- Gamified Coding
- Code Combat - If you are a beginner programmer or simply love gamified programming. We have licenses!
- Codin Game - More gamified coding with some quite challenging problems even involving deep learning tasks. Supports a whole range of languages.
- Competitive Coding
- Kattis - Competitive programming problems.
- CodeForces - More competitive programming.
- Project Euler - Competitive programming with a maths twist.
- TopCoder - Competitive programming that can earn you money.
- Data science and data analysis
- Harard's CS109 - Comprehensive introductory data science course in Python.
- CS231n - Python NumPy tutorial - Useful supplement to the course above.
- Kaggle datasets - Beginner-friendly datasets for practicing your skills.
- Python Data Science Handbook - Introduction to data science in Python - covers Jupyter notebooks, NumPy, Pandas, Matplotlib, and Scikit-learn (through the University library).
- And More
- Statistics Coding Club - Coding club from the ecology and environmental science people. They focus on statistical analysis using R and have lots of useful online resources.
- Embedded and Robotics Society - Society aimed at helping students get into the fields of embedded development and robotics. Have an eye on their webpage for workshops and events!
- CompSoc - Scotland's largest tech society run by students of Edinburgh University. Check their webpage for workshops and events!
If you have any other links you think are missing here, please let us know!
Join our mailing list for updates on the course and general discussions:
- navigate to [https://mlist.is.ed.ac.uk/lists/info/pgclub]
- log in with EASE
- click sympa login (top right)
- click subscribe
Join us on Slack with your UoE email address.
Find more resources in our GitHub repo.
Please give us feedback and help us to make the course better for you:
Meet the Team
- Hugh Leather
- Volker Seeker
- Pavlos Petoumenos
- Garry Ellard
- Dylan Thinnes
- Mayank Jain
- Michael Andrejczuk
- Mihai Enache
- Simon Kaufmann
- Tomasz Kosciuszko
- Vesko Cholakov
- Vidminas Mikucionis
A special thanks to Garry Ellard for his massive help and support with running the club!