Skip to main content

Title of the python project

Citation

Introduction

what it does. why it was made. what is future vision.

Authors

Chandravesh chaudhari, Doctoral candidate at CHRIST (Deemed to be University), Bangalore, India under supervision of Dr. Geetanjali purswani.


Features

  • first
  • second
  • and so on

significance

  • first
  • second and so on

Installation

This project is available at PyPI. For help in installation check instructions

python3 -m pip install projectname  

Dependencies

Required
Optional

Important links

Contribution

all kinds of contributions are appreciated.

Future Improvements

Work title

  • work part one
  • work part two

Metadata

Release files for feature-selectionpy 0.0.4

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

Source distribution (sdist)

Source distribution for feature-selectionpy 0.0.4
File Size Uploaded Provenance Actions
feature-selectionpy-0.0.4.tar.gz 62.3 kB Without provenance Details for feature-selectionpy-0.0.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for feature-selectionpy 0.0.4
File Interpreter ABI Platform Actions
feature_selectionpy-0.0.4-py3-none-any.whl Python 3 none any Details for feature_selectionpy-0.0.4-py3-none-any.whl

Total release size: 71.8 kB

Release files / feature-selectionpy-0.0.4.tar.gz

Download URL feature-selectionpy-0.0.4.tar.gz
Size 62.3 kB
Tags Source
SHA-256 checksum
How to use checksums
fa80ae835bea6f39afc039353fa0fc615e6237d415036e3c33cbeb8e3c7a6faa
BLAKE2b-256 checksum
How to use checksums
636aa25b6eb21c09b758193153fc619ee423ce70efab86f3176e65dd69e38191
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.16

Release files / feature_selectionpy-0.0.4-py3-none-any.whl

Download URL feature_selectionpy-0.0.4-py3-none-any.whl
Size 9.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ac2ded03ffa1393c2c704ae342a6621716c3afcfa89f92c0520368c33f640207
BLAKE2b-256 checksum
How to use checksums
86d7f2576b1b84b9f3f7e46b50e0273fdfa1612650f1a562f34586d4ca31d7c5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.16

Security for feature-selectionpy 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.

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