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This workshop will take place on Monday and Tuesday (March 2nd and 3rd) 2020 in Room G53/54 in Diamond House.

Speakers:
Duncan Johnstone (University of Cambridge)
Magnus Nord (EMAT, Antwerp)
Francisco de la Peña (University of Lille)
Eric Prestat (University of Manchester- SuperSTEM)
Paul Quinn (Diamond Light Source)
Thomas Slater (ePSIC - Diamond Light Source)

Agenda

Installation guide- Bundle installation

During the workshop we will have Windows PC workstations prepared with the packages installed packages and the example notebooks / datasets. We do however encourage the participants to install these packages on their own laptops / workstations and acquaint themselves with the Jupyter Lab environment before the workshop to benefit the most form the presented material.

The easiest way to install hyperspy and other hyperspy extensions (pyxem and atomap) presented in the workshop is to install using the bundles here.

Installation guide- Conda installation

Please follow the steps below for the installation:

• Install Python 3.7 from Anaconda

• Open an Anaconda Prompt Terminal and create a new environment by running:
  

  Code Block
  conda create --name hyperspy_env python=3.7

• Activate the above environment by:
  

  Code Block
  WINDOWS: activate py35 LINUX, macOS: source activate py35

• Install the packages by running the following commands:

  Code Block
  conda install hyperspy -c conda-forge jupyter labextension install @jupyter-widgets/jupyterlab-manager conda install -c conda-forge pyxem conda install -c conda-forge atomap conda install -c conda-forge particlespy

To test your installation, from the same prompt, run:

jupyter lab

This would open a Jupyter Lab launcher in your web browser. Under Notebook select Python 3 button to open a new notebook. Copy this code to the first cell and run (press shift + enter). If the installation is correct you should not get any error messages.

%matplotlib qt5
import hyperspy.api as hs
import pyxem as pxm
import atomap as am
import ParticleSpy.api as ps