1. Home
  2. Materials
  3. Python Workshop (IKON21)
Back View material

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, jupyter, Python, numpy, matplotlib, Ipywidgets, scipy, mcstas script

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 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, jupyter, Python, numpy, matplotlib, Ipywidgets, scipy, mcstas script


0