PyCMLutilities
PyCMLutil library is a suite of tools for curve-fitting, plotting, and data analysis in Python. This library is built upon of matplotlib, seaborn, and pandas libraries.
This python-based library has been aimed to help students, faculties, or any level of researchers in visualizing stored data out of either experiments or computational simulations.
Documentation at https://campbell-muscle-lab.github.io/PyCMLutilities/
2 maintainers
Metadata
2 maintainers
Release files for PyCMLutil 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| PyCMLutil-0.0.2.tar.gz | 16.3 kB | Without provenance | Details for PyCMLutil-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| PyCMLutil-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for PyCMLutil-0.0.2-py3-none-any.whl |
Total release size: 58.7 kB
Release files / PyCMLutil-0.0.2.tar.gz
| Download URL | PyCMLutil-0.0.2.tar.gz |
|---|---|
| Size | 16.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e2357d4549ca339657be25f9fd543ba9738d3c79495bc80336be8c095a03a138
|
|
BLAKE2b-256 checksum How to use checksums |
bf30a1f59dd91466fa30db534232a8de01559f04074d7cfec082d71ef1d356b0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
Release files / PyCMLutil-0.0.2-py3-none-any.whl
| Download URL | PyCMLutil-0.0.2-py3-none-any.whl |
|---|---|
| Size | 42.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
874b5a443331247dd385ecd8209c1a772bc98fb32b47c9b2fa5464f21c6e0d8a
|
|
BLAKE2b-256 checksum How to use checksums |
f1f46a63b9b8fcdfb32160428c38441e2291e54938969c2f14b754afd32a5529
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
Security for PyCMLutil 0.0.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
