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Keywords:   data analysis library pandas 


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...

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

Resource type: Moodle course, e-learning

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
Illumidesk: Python Course

This course has the notebooks from the first four chapters of the IKON python course: 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...

Keywords:   sequence data types,   data analysis library pandas

Resource type: Moodle course, e-learning

Illumidesk: Python Course https://pan-training.eu/materials/illumidesk-python-course This course has the notebooks from the first four chapters of the IKON python course: 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. To access click on Illumidesk →Start My Server → Assignments →pythoncourse (drop down menu) → fetch Any notebooks you fetch will be visible on your illumidesk files tab. Do not submit the notebooks for feedback.   sequence data types,   data analysis library pandas
Python Workshop (IKON20)

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)** AS OF 16/09/2021 THERE IS AN ISSUE WITH THE LINK - THIS WILL BE FIXED SOON This course has something for all levels of python and is split into 7...

Keywords: python based mcstas script,   data analysis library pandas, mcstas script extras scipp

Resource type: Moodle course, e-learning

Python Workshop (IKON20) https://pan-training.eu/materials/python-workshop-ikon20 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)** AS OF 16/09/2021 THERE IS AN ISSUE WITH THE LINK - THIS WILL BE FIXED SOON This course has something for all levels of python and is split into 7 sections. The 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. The 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.  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. **Extras** 7. **SCIPP** The 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**. You 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. To access the notebooks please navigate to **python-course-ikon** \> **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 IKON20 in March 2021. Course image by [Chris Ried](https://unsplash.com/@cdr6934?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/s/photos/python?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) python based mcstas script,   data analysis library pandas, mcstas script extras scipp