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Python Workshop (IKON21)

https://pan-learning.org/moodle/course/view.php?id=89

If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub

Access the course by clicking on the JupyterHub link.

Click Start My Server > Start and your container will launch.

In the folder called Notebooks you will find the following:

  1. Jupyter basics:  Jupyter notebook introduction.

  2. Python basics:   Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs 3,  Python classes.

  3. Using external Libraries:   Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing.

  4. Molecular visualization:   Visualization tutorial,  Atomistic simulation environment.

  5. McStas script

  6. SCIPP

You can find a copy of the notebooks at https://github.com/ess-dmsc-dram/python-course-ikon/tree/master/notebooks

This course was created by the Data Reduction, Analysis and Modelling group of the ESS.

This version of the course was specifically created for IKON21 in September 2021.

Keywords:   data analysis library pandas, -ikon/tree/master/notebooks

Resource type: Moodle course, e-learning

Language: English

Python Workshop (IKON21) https://pan-training.eu/materials/python-workshop-ikon21 **If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub** Access the course by clicking on the **JupyterHub** link. Click **Start My Server** \> **Start** and your container will launch. In the folder called **Notebooks** you will find the following: 1. **Jupyter basics: ** Jupyter notebook introduction. 2. **Python basics:  ** Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs 3,  Python classes. 3. **Using external Libraries:  ** Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing. 4. **Molecular visualization:  ** Visualization tutorial,  Atomistic simulation environment. 5. **McStas script** 6. **SCIPP** You can find a copy of the notebooks at [https://github.com/ess-dmsc-dram/python-course-ikon/tree/master/notebooks](https://github.com/ess-dmsc-dram/python-course-ikon/tree/master/notebooks) _This course was created by the Data Reduction, Analysis and Modelling group of the ESS. This version of the course was specifically created for IKON21 in September 2021._   data analysis library pandas, -ikon/tree/master/notebooks


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