The aim of the course is that students gain practical skills in a programming language, learn how to handle data and run simple calculations
Course info
| Neptun code: |
fiznum1f18la |
| Instructor: |
László Oroszlány |
| Semester: |
2 |
| Type: |
Lecture + Practice |
| Credit points: |
2 |
| Prerequisites: |
- |
Topics
- Basic of the Python language
- Simple control statements
- Modules, classes and plotting
- Symbolic calculations
- Linear algebra, numpy
- File I/O
- Curve fitting, FFT
- Datahandling with pandas
Recommended readings
- Wes McKinney: Python for Data Analysis, (O’Reilly 2013)
- Joel Grus: Data Science from Scratch (O’Reilly 2015)
Course material