{"id":213,"title":"Python Workshop (IKON20)","url":"https://pan-learning.org/moodle/course/view.php?id=36","short_description":"THIS IS THE PREVIOUS IKON PYTHON COURSE FROM MARCH 2021 - The new one can be found **[here](https://pan-learning.org/moodle/course/view.php?id=89)**  \nAS OF 16/09/2021 THERE IS AN ISSUE WITH THE LINK - THIS WILL BE FIXED SOON\n\nThis course has something for all levels of python and is split into 7 sections.   \nThe first four contain a set of jupyter notebooks that are designed to be worked through individually. You are encouraged to pick and choose which sections you are interested in.   \nThe other three contain notebooks to help you learn how to use python based McStas script and SCIPP along with an extra module with an example of Covid data anlysis. \n\n1. **Jupyter basics: ** Jupyter notebook introduction.\n2. **Python basics:  ** Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs 3,  Python classes.\n3. **Using external Libraries:  ** Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing.\n4. **Molecular visualization:  ** Visualization tutorial,  Atomistic simulation environment.\n5. **McStas script**\n6. **Extras**\n7. **SCIPP**  \n\nThe notebooks can accessed and run via the [Jupyter hub](https://jhubworkshop.esss.dk/hub/home) link. A new window will open, which will ask you to **Start My Server**.  \nYou can then chose which environment you would like to use (Basic Jupyter with McStas or Jupyter with SCIPP). Note that both include all the notebooks.  \nTo access the notebooks please navigate to **python-course-ikon** \\\u0026gt; **notebooks**.\n\nThis course was created by the Data Reduction, Analysis and Modelling Group of the ESS  \nThis version of the course was specifically created for IKON20 in March 2021.   \nCourse image by [Chris Ried](https://unsplash.com/@cdr6934?utm_source=unsplash\u0026amp;utm_medium=referral\u0026amp;utm_content=creditCopyText) on [Unsplash](https://unsplash.com/s/photos/python?utm_source=unsplash\u0026amp;utm_medium=referral\u0026amp;utm_content=creditCopyText)","doi":"","deliverable":null,"remote_updated_date":null,"remote_created_date":null,"created_at":"2022-05-03T15:03:49.303Z","updated_at":"2025-05-20T10:31:08.443Z","content_provider_id":27,"keywords":["python based mcstas script","  data analysis library pandas","mcstas script\r\nextras\r\nscipp"],"licence":"notspecified","difficulty_level":"notspecified","target_audience":[],"language":"English","scientific_topics":[],"external_resources":[],"authors":[],"contributors":[]}