{"id":229,"title":"Python Workshop (IKON21)","url":"https://pan-learning.org/moodle/course/view.php?id=89","short_description":"**If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub**\n\nAccess the course by clicking on the **JupyterHub** link.  \n Click **Start My Server** \\\u0026gt; **Start** and your container will launch.  \n In the folder called **Notebooks** you will find the following:\n\n  1. **Jupyter basics: ** Jupyter notebook introduction.\n\n  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.\n\n  3. **Using external Libraries:  ** Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing.\n\n  4. **Molecular visualization:  ** Visualization tutorial,  Atomistic simulation environment.\n\n  5. **McStas script**\n\n  6. **SCIPP**\n\nYou 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)\n\n_This course was created by the Data Reduction, Analysis and Modelling group of the ESS.  \nThis version of the course was specifically created for IKON21 in September 2021._","doi":"","deliverable":null,"remote_updated_date":null,"remote_created_date":null,"created_at":"2022-05-03T15:03:53.451Z","updated_at":"2025-05-05T10:31:35.850Z","content_provider_id":27,"keywords":["  data analysis library pandas","-ikon/tree/master/notebooks"],"licence":"notspecified","difficulty_level":"notspecified","target_audience":[],"language":"English","scientific_topics":[],"external_resources":[],"authors":[],"contributors":[]}