Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 11 Next »

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

During the workshop we will have PC 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: 

    conda create --name hyperspy_env python=3.7

  • Activate the above environment by:

    WINDOWS: activate py35
LINUX, macOS: source activate py35

  • Install the packages by running the following commands:

    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

  • No labels