mileva
Python toolkit for symbolic computations in General Relativity.
About
Mostly just sympy wrappers, tailored to my personal needs.
Installation
Get the latest release (version 0.0.3) either from PyPI, using pip, with:
pip install mileva
or from Anaconda.org (only linux-64 and osx-intel-64), using conda, with:
conda install -c freddeceuster mileva
or download the source code, unzip, and install with pip by executing:
pip install .
in the root directory of the code.
1 maintainer
Metadata
1 maintainer
Release files for mileva 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mileva-0.0.3.tar.gz | 44.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mileva-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 75.6 kB
Release files / mileva-0.0.3.tar.gz
| Download URL | mileva-0.0.3.tar.gz |
|---|---|
| Size | 44.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.21
|
Release files / mileva-0.0.3-py3-none-any.whl
| Download URL | mileva-0.0.3-py3-none-any.whl |
|---|---|
| Size | 31.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.21
|
