LPPy-DSMC
Launch unit test first
NOT UP TO DATE - won't work
python -m unittest discover
Installing the environment
conda create --name lpp python=3.9 pandas numpy matplotlib tqdm notebook jupyterlab numexpr pytables seaborn
To run the notebooks, you will need ipympl which allows interacting with matplotlib plots inside jupyter lab. If you do not want to install it, simply replace %matplotlib widget by either %matplotlib notebook for jupyter notebook or %matplotlib inline for jupyter lab.
Running a simulation
You can use the main.ipynb notebook to launch easily a first simulation and then you can analyze it using the analysis.ipynb notebook.
Metadata
Release files for lppydsmc-taltos 0.0.4
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 |
|---|---|---|---|---|
| lppydsmc-taltos-0.0.4.tar.gz | 18.5 kB | Without provenance | Details for lppydsmc-taltos-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| lppydsmc_taltos-0.0.4-py3-none-any.whl | Python 3 | none | any | Details for lppydsmc_taltos-0.0.4-py3-none-any.whl |
Total release size: 40.3 kB
Release files / lppydsmc-taltos-0.0.4.tar.gz
| Download URL | lppydsmc-taltos-0.0.4.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
45bd8a4b135774058de23989f83dad6fed79d38f17e15086aee0e3f5a8ecef4c
|
|
BLAKE2b-256 checksum How to use checksums |
0075a37874a00b2ebea20ce409f031bf4096f7976eaef43a6ef4b6882c71e818
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.4
|
Release files / lppydsmc_taltos-0.0.4-py3-none-any.whl
| Download URL | lppydsmc_taltos-0.0.4-py3-none-any.whl |
|---|---|
| Size | 21.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0dab55b83b4eb5e16e69bedd18e7561744ad203512a06419bc80ee8d16678253
|
|
BLAKE2b-256 checksum How to use checksums |
8e0141e13a8e02b5cfd76fd51f5a1aab0dccb9e0ffb501a0dc8efb31e7878473
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.4
|
Security for lppydsmc-taltos 0.0.4
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.