IC Silwood Park CMEE Coursework repository
- Windows system, VSCode: python3 (I prefer)
- Windows system, cmd -> type 'R' into R environment
- Windows system, R app
- Windows system, R Studio, command line WSL (I prefer)
- Windows system, terminal/powershell: WSL
- Linux system Ubuntu, VSCode: python3, ipython, Rscript (I prefer)
- Linux system Ubuntu, terminal
- Linux system Ubuntu, Rstudio (I prefer)
- Jupyter Notebook Python script (I prefer)
- (Not implemented: ) Jupyter Notebook R script
- This is coursework, and will be run in our teacher's (Linux Ubuntu) computer.
- Users can run python and some other scripts using VSCode; can run R scripts using Rstudio.
You may use ideas, but you should contribute it to correct resource. -- YU Xiaoyun
- Use Google! Not Bing!
- Read official documents! https://www.learn-r.org/r-tutorial/read-csv.php
- Use the 'help' functionality in each language! e.g. In R, type ?xxx ??xxx
- Inside of the terminal, please be aware of the environment. E.g. Inside of the terminal, you need to type 'R' to enter into the R environment. You need to type 'python3 xxx.py'.
- Be aware of the path/directory.
- The search methods: CSDN, WeChat Read.
- Check the Coursework assignment requirement, and print/write down each point to be marked to get scores.
- 'Mycodes' folder in each week contains my own coding scripts which are self-learned or I think are meaningful.
- The 'Records' folder in each week contains my command line records etc.
- All the result pdf figures run by an R script go into the 'Records' folder.
Enjoy the journey