Python Programming for Beginners


Official data in SubjectManager for the following academic year: 2023-2024

Course director

Number of hours/semester

lectures: 3 hours

practices: 9 hours

seminars: 0 hours

total of: 12 hours

Subject data

  • Code of subject: OTF-PPK-T
  • 1 kredit
  • Biotechnology BSc
  • Optional modul
  • spring


Course headcount limitations

min. 5 – max. 15


The Python programming language is one of the most widely used programming languages, which is also due to the fact that the use of the language can be easily learned even by people without programming experience. This course introduces the fundamentals of programming through the Python language, including data types, loops, functions, objects, and more. During the exercises, we review the use of the most popular modules (e.g. Numpy, Pandas, Scipy) and demonstrate their practical application through medical and psychological examples. The aim of the course is for students to be able to solve problems with the help of programming primarily in the fields of data management, statistics, data presentation and experimental design.


  • 1. The Python programming language  - Dr. Matuz András
  • 2. Installation and modules  - Dr. Matuz András
  • 3. Basic programming concepts  - Dr. Matuz András


  • 1. Creating variables, data types and calculations 
  • 2. Lists and dictionaries 
  • 3. Built-in functions and Loops 
  • 4. If-statements: let's write a conversational program! 
  • 5. Writing simpler programs: creating unit converter, number system converter and poem generator programs 
  • 6. Vectors, matrices, and scientific functions (SciPy, Numpy) 
  • 7. Data analyis with Pandas 
  • 8. Programming of reaction time-based experiments (Psychopy) 
  • 9. Test 


Reading material

Obligatory literature

Literature developed by the Department

The study material required for preparation will be posted on Neptun/TEAMS after the presentation


Recommended literature

Mark Summerfield (2009) Python 3 programozás: átfogó bevezetés a Python nyelvbe
Hall, T., & Stacey, J. P. (2010). Python 3 for absolute beginners.
Hans Petter Langtangen (2014) A Primer on Scientific Programming with Python

Conditions for acceptance of the semester

Maximum of 25 % absence allowed

Mid-term exams

Written test in the last lesson (solving a programming task), homework (programming project)

Making up for missed classes

To be discussed with the instructor.

Exam topics/questions

Written test in the last class. The test can be repeated twice in the first two weeks of the exam period in order to improve the grade. Submission of project work.


Instructor / tutor of practices and seminars

  • Dr. Matuz András