Python for Engineers
Practical course in Python programming, introducing scripting, numerical analysis, data visualization, and engineering simulations.
đŻLearning Goals
- âMaster Python syntax, core data types, and file input/output workflows.
- âApply Python libraries like NumPy and Pandas for numerical and tabular data processing.
- âImplement custom simulations and plot high-quality engineering visualizations.
đCourse Syllabus & Details
Welcome to the Python for Engineers course! Python has become the lingua franca of engineering automation, data science, and system simulation. This course gets you writing code quickly.
Course Overview
We focus on practical programming. You will transition from basic syntax to utilizing Pythonâs powerful package ecosystem to solve engineering problems, run automated loops, analyze data sets, and build clean dashboards.
Syllabus Highlights
- Python Programming Essentials: Variables, lists, loops, conditions, functions, and modules.
- Scientific Computing with NumPy: Multi-dimensional arrays, vectorized operations, and linear algebra.
- Data Wrangling with Pandas: Loading datasets, filtering columns, cleaning data, and aggregating statistics.
- Plotting & Visuals: Creating robust graphs and charts with Matplotlib and Seaborn.
- Engineering Applications: Simulation models, differential equations solver, and scripting command-line tools.
âčïžCourse Info
Institution
FH Upper Austria
Campus Wels
Topics & Tags
GitHub Repo
course-python-programming
This repository contains material for my course on introduction to Python programming for engineers.
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Interested in guest lectures, student thesis topics, or academic course materials? Feel free to reach out directly via email.
Course & Academic Inquiry
Send an email request to
georg.hackenberg@fh-wels.at
Typically responding within 2 business days.
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