Begin your journey in Python programming. Explore the capabilities of Python through hands-on exercises, enabling you to begin analyzing scientific data.
The course Fundamentals of Python includes the following topics:
- Overview of Python's versatility with real-world use cases
- Installation and getting started with Python: Jupyter Notebooks, Spyder, Anaconda, command line interface.
- Deep dive into Python syntax: data types and variables, conditional statements, loops, and functions
- An introduction to data treatment with Numpy
- Reading and writing files
- The first steps of data visualization with Matplotlib
- BONUS: Using AI tools to trouble shoot and advance your coding capabilities
This workshop requires no prior coding knowledge. Ideally, you have some rudimentary knowledge in a different programming language (e.g., C, Matlab). You will be working with your own computer and are encouraged to bring your own projects, e.g. data from experiments or simulations, to work with.
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This workshop is part of the transferable skills portfolio of the PIER Education platform on the science campus Bahrenfeld/DESY. The workshops are usually one-day courses for a maximum number of 12-15 participants and are offered once or twice a year. The trainers are carefully selected experts with many years of experience in teaching scientists. Some of the workshops are open for postdocs.
The workshops offered in the PIER Education Platform are a cooperation between the PIER Helmholtz Graduate School and its partner organisations and institutes Quantum Universe Research School QURS, the Collaborative Research Center SFB 925, The Hamburg Centre for Ultrafast Imaging CUI, the International Max Planck Research School for Ultrafast Imaging & Structural Dynamics IMPRS-UFAST, DASHH, the Centre for Structural Systems Biology CSSB, the European Molecular Biology Laboratory EMBL and HELIOS.
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