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Conda environment file providing modules to analyse PIConGPU simulation data in Jupyter notebooks.
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## Installing the environment | |
# * Download and install anaconda or miniconda | |
# * Activate the base environment | |
# `conda activate` (which maybe preceeded by `source ~/.bashrc`) | |
# * Install | |
# `conda env create --file picongpu-analysis-environment.yml` | |
# | |
# Alternatively, mamba could be used instead of conda which is supposed | |
# to be faster. | |
# In the base environment | |
# `conda install -c conda-forge mamba` | |
# `mamba env create --file picongpu-analysis-environment.yml` | |
# | |
# | |
# 2022 Klaus Steiniger / CC0 | |
name: picongpu-analysis | |
channels: | |
- defaults | |
- conda-forge | |
dependencies: | |
- scipy | |
- ipython | |
- jupyterlab | |
- jupyter_contrib_nbextensions | |
- matplotlib | |
- pandas | |
- imageio | |
- blosc >=1.21.1 | |
- adios2 >=2.8.3 | |
- h5py | |
- openpmd-api >=0.14.5 |
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