Skip to content

Latest commit

 

History

History
26 lines (19 loc) · 1.63 KB

README.md

File metadata and controls

26 lines (19 loc) · 1.63 KB
Raw

Scientific-Computing-with-Python

Binder

Notebooks and scripts for "Scientific-Computing-with-Python" lab at JU, 2021.

Content

  • Lab 2 is a jupyter notebook file consist of solutions from week 2 (Introduction)
  • Lab 3 consist of jupyter notebook file with solutions from week 3 and text file required by one of the exercise (Statements)
  • Lab 4 is a jupyter notebook file consist of solutions from week 4 (Functions)
  • Lab 5 is a jupyter notebook file consist of solutions from week 5 (Modules)
  • Lab 6 is a jupyter notebook file consist of solutions from week 6 (Classes)
  • Lab 7 is a jupyter notebook file consist of solutions from week 7 (Exceptions)
  • Lab 8 is a jupyter notebook file consist of solutions from week 8 (Numpy)
  • Lab 9 is a jupyter notebook file consist of solutions from week 9 (Matplotlib)
  • Lab 10 consist of jupyter notebook file with solutions from week 10 and png file required by one of the exercise (Pandas and virtual envs)
  • Lab 11 is a jupyter notebook file consist of solutions from week 11 (Scipy and numerical computing)
  • Lab 12 consist of jupyter notebook file with solutions from week 12 and script test file required by one of the exercise (Testing Python programs and networkx)
  • Lab 13 is a jupyter notebook file consist of solutions from week 13 (PIL)
  • Lab 14 is a jupyter notebook file consist of solutions from week 14 (Monte Carlo)

Project

Run bash script e.sh (adapt data and results folder to your needs) and configure .env.sample (example of such file is .env file). Finally run main script run.py