course-E375004.md

Python for Scientific Computations and Control

Codenames: E375004, 2375004

1. Python Basics 1 - installation, IDEs, data types, for, while, if, functions

   • Notebook a) into
   • Notebook b) Program flow
   • task: Lab task 1
   • responsible person: [email protected]

2. Python Basics 2 - functions, classes

   • study any introduction to Python classes, for example: W3Schools (easy to understand) or Python docs (more detailed)
   • Notebook: Functions and classes
   • task Lab task 2
   • responsible person: [email protected]

3. Game like simulations - Pygame

   • study the following example:Lecture - detail explanation in video
     • you cannot run in jupyter - use console or any IDE
     • you need pygame - it can be installed via pip
     • the example is quite complex, but it consists only from concepts you already know. Thus you should understand it pretty easily.
   • study the another example:Lecture
   • task: Lab task 3
   • responsible person: [email protected]

4. Html parsing, webscraping and server applications

   • You will need following libraries (all instalable via pip): Beautifulsoup, requests.

   • What you should know before (general knowledge / internet basics):

     • HTTP protocol
     • JSON
     • HTML

     You need only basic knowledge of these (elementary/high school level).

   • Lecture materials:

     • Simple http server, in case of need use additional external resources (optional): https://www.youtube.com/watch?v=hFNZ6kdBgO0
     • Python http requests, the best additional resources is this external documentation: https://requests.readthedocs.io/en/master/
     • HTML and JSON parsing (you do not need to understand it fully, focus on work with JSON)

   • task: Lab task 4

   • responsible person: [email protected]