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4 changes: 2 additions & 2 deletions 0.Getting-the-training-material.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,14 +4,14 @@ The training material can be obtained by using one of the following methods:

## Users of SNS analysis cluster

Open a terminal and type the following commad
Open a terminal and type the following command
```
$ cp -a ~lj7/simulations/notebooks/mcvine-training training
```

## Any MCViNE user

Open a terminal and type the following commad
Open a terminal and type the following command
to check it out from git

```
Expand Down
20 changes: 3 additions & 17 deletions 1.Setup.md
Original file line number Diff line number Diff line change
Expand Up @@ -10,23 +10,9 @@ $ source activate mcvine
## General MCViNE users

* Install [miniconda](http://conda.pydata.org/miniconda.html)
* Create an environment for mcvine
* Create an environment for mcvine, then activate it.

```
$ conda create -n mcvine python
```
* Enter the mcvine environment

```
$ source activate mcvine
```

* Install mcvine, mantid, and jupyter

```
$ conda config --add channels conda-forge
$ conda config --add channels diffpy
$ conda config --add channels mantid
$ conda install -c mcvine mcvine
$ conda install jupyter
$ conda env create --file conda_environment.yml
$ conda activate mcvine
```
25 changes: 25 additions & 0 deletions conda_environment.yml
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@@ -0,0 +1,25 @@
name: mcvine
channels:
- conda-forge
- mantid
- mcvine
- defaults
dependencies:
- mantid-framework>=6
- mcvine=1.4.5
- mcvine.ui
- multiphonon
- ipykernel
- ipympl
- lmfit
- openmpi
- pandas
- python=3.9
- tqdm
- pylatex
- cloudpickle
- scikit-image
- pip
- pip:
- matlab
- mcpl