Readme for Mango_dist
Installation
Run pip install -i https://test.pypi.org/simple/ mangodistributions in the command line
Importing functionality
Import into a python script with import mangodistributions as mg
Example functionality
Create a random sample of 10 values from Normal distribution with a mean of 5 and a standard deviation of 1:
import mangodistributions as mg
normal_dist = mg.Normal(n = 10, mean = 5, sd=1)
sample = normal_dist.draw()
Print summary metrics on your sample
import mangodistributions as mg
normal_dist = mg.Normal(n = 10, mean = 5, sd=1)
sample = normal_dist.draw()
normal_dist.summarise()
1 maintainer
Metadata
1 maintainer
Release files for mangodistributions 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 |
|---|---|---|---|---|
| mangodistributions-0.0.2.tar.gz | 1.7 kB | Without provenance | Details for mangodistributions-0.0.2.tar.gz |
Release files / mangodistributions-0.0.2.tar.gz
| Download URL | mangodistributions-0.0.2.tar.gz |
|---|---|
| Size | 1.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6e64642347e5c0d8aca5c0f805b2682598d2352e6ff00336efaa1c1366db4373
|
|
BLAKE2b-256 checksum How to use checksums |
a03c3539f385cff13df4879bc4981b7a61c94652b57a1e2fe6cb6fb8a7d1cee3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
|
Security for mangodistributions 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.
