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Fast convective parameters for numpy, dask, and xarray

Project description

Python Package Index Conda Version

xlayers: Python implementation of MITgcm’s layer package

Installation

xlayers can be installed from PyPI with pip:

python -m pip install xlayers

It is also available from conda-forge for conda installations:

conda install -c conda-forge xlayers

To install xlayers from source repository, the fortran-compiler package is required. The easiest way to install the fortran-compiler is via conda :

conda install -c conda-forge fortran-compiler
unset LDFLAGS

Once the compiler is installed, now we can install xlayers from Github:

git clone https://github.com/cspencerjones/xlayers.git
cd xlayers
python setup.py install

Get in touch

  • Report bugs, suggest features or view the source code on GitHub.

Project details


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xlayers-0.2.1.tar.gz (178.6 kB view hashes)

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xlayers-0.2.1-cp38-cp38-manylinux2010_x86_64.whl (1.0 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

xlayers-0.2.1-cp38-cp38-manylinux2010_i686.whl (838.6 kB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

xlayers-0.2.1-cp38-cp38-macosx_10_9_x86_64.whl (1.2 MB view hashes)

Uploaded CPython 3.8 macOS 10.9+ x86-64

xlayers-0.2.1-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

xlayers-0.2.1-cp37-cp37m-manylinux2010_i686.whl (838.0 kB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

xlayers-0.2.1-cp37-cp37m-macosx_10_6_intel.whl (1.2 MB view hashes)

Uploaded CPython 3.7m macOS 10.6+ intel

xlayers-0.2.1-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

xlayers-0.2.1-cp36-cp36m-manylinux2010_i686.whl (835.1 kB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

xlayers-0.2.1-cp36-cp36m-macosx_10_6_intel.whl (1.2 MB view hashes)

Uploaded CPython 3.6m macOS 10.6+ intel

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