Python for Science and Engineering: Basics

Kickstart Your Python Journey

Python is the go-to language for programming in science, research, and engineering. Whether you're working in R&D, software, or a technical field, this hands-on course gives you a solid foundation in Python – with a focus on real-world applications.
Discover how to analyse data effectively, automate time-consuming tasks, and build smart solutions for complex numerical challenges.

Python – Basics is the perfect starting point for professionals who want to make Python part of their everyday toolkit.

This course forms part of the university programme “Python for Science and Engineering” (Module 1), and successful completion counts towards the full certificate.

Dates and Deadlines

Next start: expected in WS26/27

Quick Facts

Duration: 16 hours
Certificate: Award of a microcredential (with examination), confirmation of participation (without examination)
ECTS credit points: 1
Language of instruction: German or English
Course fees: € 550 (VAT free) or for Bachelor's and Master's students: € 250 (VAT free)
Course location: online (Webex)

Curriculum (in German only)

Man at a table with a notebook and a smartphone.

Content Python – Basics

Basic Data Types and Containers
Imperative Programming Concepts: Control structures (if, for, while), functions
Object-Oriented Programming Concepts: Classes, objects, methods
Input/Output and File Handling
Daily-Use Tools – Practical Overview:
- Pandas and Excel file manipulation (xlsxwriter, openpyxl)
- Datetime operations
- Plotting with matplotlib
- Advanced modules (os, sys, File dialogs with tkinter,TDMS files using nptdms…)

Upon successful completion of Python – Basics

You will have mastered the fundamentals of the Python programming language
You will be able to perform simple automation tasks using Python
You will be able to solve basic tasks in data analysis and numerical computing, such as reading data files
You will be able to carry out basic calculations involving linear systems of equations

Why you Should Learn Python

Python is easy to learn and offers high complexity.
You can create connections to fast C/C++ and Fortran libraries.
You can produce highly effective codes with little effort.
Its high flexibility makes Python ideal for rapid prototyping.

Python and the associated software are free software. This means you will gain a cost-saving alternative to commercial programmes such as MATLAB.

Target Groups and Admission Requirements

Target groups of Python – Basics includes in particular

Professionals working in research and development
Software developers (all genders)

Admission requirements of Python – Basics

Basic programming knowledge

Application and Contact

Contact

Sarah Meinhardt
BA

TU Graz Life Long Learning
Tel.: +43 316 873 4945
lifelong.learningnoSpam@tugraz.at

Programme Director

Stefan H. REITERER
Dipl.-Ing. DDr.

Follow-up courses