Skip to main content

This library performs different calculations in the framework of Fractional Calculus. You can find functions to calculate: Riemann-Liouville integral Caputo derivatives Riemann-Liouville derivatives the solution of a fractional differential equation the solution of a system of fractional differential equations Mittag-Leffler functions

You can install this package by following the instructions in: https://packaging.python.org/tutorials/installing-packages/ and you should use the name of the library "numfracpy".

You can find examples of these calculations in the notebooks uploaded in the page: https://github.com/jhlopezm/NUMFRACPY

Metadata

Release files for numfracpy 0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for numfracpy 0.4
File Size Uploaded Provenance
numfracpy-0.4.tar.gz 6.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for numfracpy 0.4
File Interpreter ABI Platform
numfracpy-0.4-py3-none-any.whl Python 3 none any Details

Total release size: 13.4 kB

Release files / numfracpy-0.4.tar.gz

Download URL numfracpy-0.4.tar.gz
Size 6.4 kB
Tags Source
SHA-256 checksum
How to use checksums
9bef8e6f45bb0be7fce99c947480cc6e59f7a334c3fcdb76445ab0a4f40663fa
BLAKE2b-256 checksum
How to use checksums
b05b9912ab82023312b6c786745746d886156c66699c488356bdcbfa5c88848c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Release files / numfracpy-0.4-py3-none-any.whl

Download URL numfracpy-0.4-py3-none-any.whl
Size 7.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
81a7f57ec5ce77e93d10d379b5e3b4d376b6e63141998658a4608abb722881fc
BLAKE2b-256 checksum
How to use checksums
5ea4505d689003973c5b2b36c33d21aeb0355570aeaaef4cd425a71b59bd0460
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Security for numfracpy 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.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page