Function Analysis
This library uses concepts typically taught in an introductory Calculus class to describe properties of continuous, differentiable, single-variable functions.
Using this library
The func_analysis module defines the class AnalyzedFunc. An instance
of this class has several attributes describing the behavior of this
function.
Required data include:
- A range
- The function to be analyzed
Special points include zeros, critical numbers, extrema, and points of inflection. Calculating these is possible when given the number of points wanted.
Optional data can be provided to improve precision and performance. Such data include:
- Any derivatives of the function
- Any known zeros, critical numbers, extrema, points of inflection
- Intervals of concavity, convexity, increase, decrease
- Any vertical axis of symmetry
Any of the above data can be calculated by an instance of AnalyzedFunc.
License
This program is licensed under the GNU Affero General Public License v3 or later.
1 maintainer
Metadata
1 maintainer
Release files for func-memoized-analysis 0.1.2
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 | |
|---|---|---|---|---|
| func_memoized-analysis-0.1.2.tar.gz | 10.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| func_memoized_analysis-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.6 kB
Release files / func_memoized-analysis-0.1.2.tar.gz
| Download URL | func_memoized-analysis-0.1.2.tar.gz |
|---|---|
| Size | 10.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4ee19888618157711a9aed8af2295f79f37e7b49b9870df2bd20d26155cba586
|
|
BLAKE2b-256 checksum How to use checksums |
cba76f1e868970a196a2e8bef5ebfda87bdc67bd268b4f6079859dd3423a0960
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1
|
Release files / func_memoized_analysis-0.1.2-py3-none-any.whl
| Download URL | func_memoized_analysis-0.1.2-py3-none-any.whl |
|---|---|
| Size | 28.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ec5dbf5485e2e9061354b6c77a8ded4a64a2b35b89572644490baf93711ba0db
|
|
BLAKE2b-256 checksum How to use checksums |
c046c138919b7d87c1b5e5624a241e1559cc648c3641876db1a25fc980069ebf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1
|
Security for func-memoized-analysis 0.1.2
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.
