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environment.yml
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environment.yml
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name: hsp2_py38
channels:
- conda-forge
dependencies:
# Aligned with Anaconda 2021.05 (May 13, 2021)
# package management
- conda
- conda-build
- pip
# Running HSP2
- python =3.8*
- scipy # Scipy also installs numpy
- pandas ==1.2.* # Pandas installs most scientific Python modules, such as Numpy, etc.
- numba ==0.53.1
- numpy ==1.20.* # for compatibility with numba version <0.53
- hdf5 ==1.10.6 # latest compatible with both versions of PyTables & h5py below - doesn't work with setup.py
- pytables ==3.6.1
- h5py >=3.1
- hdf5plugin # HDF5 compression filters for h5py & jupyterlab_hdf
- mando # for Python CLI app in HSP2tools/HSP2_CLI.py; hasn't been updated since 2017 and doesn't support Python 3.9: https://github.com/rubik/mando
# Interactivity & Visualization via Jupyter Notebooks (optional, but required for tutorials)
- jupyterlab ==3.0.* # also installs classic Jupyter notbook
- ipympl # jupyter-matplotlib, https://github.com/matplotlib/ipympl
- nodejs # required for many JupyterLab extensions
- nb_conda # Conda environment & package access extension from within Jupyter
# HoloViz, https://holoviz.org
- hvplot # hvPlot installs most HoloViz libs, including matplotlib
- ipywidgets # Required for HoloViz interactivity in Jupyter notebooks
# Dev tools (optional)
- python-language-server
- jupyter-lsp-python # Includes both the server extension (jupyter-lsp) and pyls third-party server (python-language-server)
- jupyterlab-lsp # Docs at https://github.com/krassowski/jupyterlab-lsp
# PIP install requirements only if it is not possible with conda
# https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#using-pip-in-an-environment
- pip:
# Optional, but recommended for tutorials
# - lckr-jupyterlab-variableinspector # https://github.com/lckr/jupyterlab-variableInspector
# - jupyterlab_hdf # Explore HDF5 files in JupyterLab. Requires an additional step to install.
# Installation instructions: https://github.com/jupyterlab/jupyterlab-hdf5#installation