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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)

Table of Contents

Agenda

View file
nameepsic_hyperspy_workshop2020_FINAL.pdf

Installation guide

During the workshop we will have a PC workstation workstations prepared with the 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.

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:

Code Block
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.

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