Skip to main content

Collection of utilities for R&D coding in Python 🐍

Project description

py-research

PyPI - Version Docs Tests Build Ruff Black Codecov CodeFactor CodeClimate Maintainability

About this project

This repository is a collection of Python utilities to help you analyze & visualize data, automate workflows and manage knowledge while working in an interdisciplinary R&D project. More precisely, it serves these main puposes:

  1. Extend existing, well-established packages (e.g. pandas, numpy sqlalchemy, structlog, ...) with small helper functions and abstractions to provide lacking functionality or make them easier to use & automate.
  2. Enforce best practices on scientific code to make it more reliable, quick to deploy, and easy to monitor.
  3. Provide a framework for knowledge and information management backed by different data sources and databases, to which analysis / dataviz functions can tie in seamlessly.

Current status

This project is actively maintained, but still under construction. The modules in their current form are working and continuously tested, but documentation is still minimal and many components of the framework are not yet implemented. Release versioning follows the Semver Spec, so breaking changes in existing API will only happen with major version upgrades, of which there are expected to be a few before the framework is complete.

Furthermore, some of the current functionality may be outsourced into a separate repo and package with these upgrades.

How to install

py-research is available as a Python package on PyPI:

pip install py-research

Alternatively, you can install it directly from git via:

pip install git+https://github.com/cloudlane-one/py-research.git

Contents

docs/ref-api/index

Indices and Tables

  • {ref}genindex
  • {ref}modindex
  • {ref}search

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_research-4.8.0.tar.gz (69.3 kB view details)

Uploaded Source

Built Distribution

py_research-4.8.0-py3-none-any.whl (65.8 kB view details)

Uploaded Python 3

File details

Details for the file py_research-4.8.0.tar.gz.

File metadata

  • Download URL: py_research-4.8.0.tar.gz
  • Upload date:
  • Size: 69.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for py_research-4.8.0.tar.gz
Algorithm Hash digest
SHA256 1bf331f872c6218229a85cf2c503cd27530946fd6d1f7709685522569182e10a
MD5 1bc9f871e4ae436c91053b1f94da4f4f
BLAKE2b-256 717de82af5493d3384219d89404f87fc1310318b4f9d6937a6dca630af50854d

See more details on using hashes here.

File details

Details for the file py_research-4.8.0-py3-none-any.whl.

File metadata

  • Download URL: py_research-4.8.0-py3-none-any.whl
  • Upload date:
  • Size: 65.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for py_research-4.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3ad76619693f2839865e716e294ca277a67cd2b7bd602a4fb4bd624153361ca9
MD5 6cf882bf3a9e6f346de74a12241b7f23
BLAKE2b-256 841566a3c1925b61f43a3a27ab71aa55333f1f23d4dd3cf9258c631e0a151eb1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page