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environment-dev.yml
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environment-dev.yml
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name: goes2go-dev
channels:
- conda-forge
dependencies:
- python>=3.10
- pip
- git
- rclone >= 1.58.0 # Not required by goes2go, but is an awesome alternative https://rclone.org/
# -----
# Tools
# -----
- cartopy
- geopandas
- h5netcdf
- jupyter
- jupyterlab
- matplotlib
- metpy
- netcdf4
- numpy
- pandas
- s3fs
- toml
- xarray
# -------------------
# Formatter & Testing
# -------------------
- black
- isort
- pytest
# -------------
# Documentation
# -------------
- sphinx>=4.5
- nbsphinx
- nbconvert>=6.5
- pydata-sphinx-theme # PyData Sphinx Theme (i.e, Numpy, Pandas, MetPy)
- sphinx-design
- recommonmark
- sphinx-markdown-tables
- autodocsumm
- sphinx-autosummary-accessors # pandas and xarray accessor docs
- latexmk
- myst-parser
- linkify-it-py
#- pip:
# clone goes2go and install with edit options
# >>> git clone https://github.com/blaylockbk/goes2go.git
# >>> cd goes2go
# >>> pip install -e .
# clone Carpenter_Workshop and install with edit options
# >>> git clone https://github.com/blaylockbk/Carpenter_Workshop.git
# >>> cd Carpenter_Workshop
# >>> pip install -e .
# ===============================================
# Then you can set the branches etc. for code development.
# Install from PyPi
#- goes2go
# Install most recent version on GitHub
#- git+https://github.com/blaylockbk/goes2go.git
# Install a specific branch
#- git+https://github.com/blaylockbk/goes2go.git@blaylockbk/issue33-update-to-setup.cfg
# Borrow some tools from my garage
#- git+https://github.com/blaylockbk/Carpenter_Workshop.git
###############################################################################
#
# Note: Being more specific with versions *may* help speed up conda
# creating/updating environments
# https://www.anaconda.com/blog/understanding-and-improving-condas-performance
#
###############################################################################
#
# To create this environment
#
# wget https://github.com/blaylockbk/goes2go/raw/main/environment.yml
# conda env create -f environment.yml
#
# To update this environment
#
# conda env update -f environment.yml --prune
#
# To remove this environment
#
# conda env remove --name environment
#
###############################################################################