Skip to main content

PandaShifu is a user interface for descriptive and predictive analytics.

Project description

Panda Shifu GitHub Repo stars


PyPI - Version PyPI - Downloads GitHub commit activity GitHub last commit GitHub closed issues GitHub issues

PandaShifu is an open-source Python package that provides friendly graphical user interfaces for descriptive and predictive analytics on a given dataset. Specifically, the package is capable of processing and visualizing the given dataset, and building pipelines for econometrical and machine learning models. The software is developed to facilitate the teaching of the following courses offered by NUS Business School:

Installation

The PandaShifu package can be installed from the PyPI platform via the command:

pip install pandashifu

Author

The Panda Shifu package is developed and maintained by Dr. Peng Xiong, who is currently a senior lecturer at the NUS Business School.

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

pandashifu-1.2.2.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pandashifu-1.2.2-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file pandashifu-1.2.2.tar.gz.

File metadata

  • Download URL: pandashifu-1.2.2.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for pandashifu-1.2.2.tar.gz
Algorithm Hash digest
SHA256 c58dc45d222b6f5dcdfa6219331136b0cdb5befb59716de7e8a0eb821d5c8776
MD5 2d2bbd9d953b951b908c00aa82f7c32a
BLAKE2b-256 5eacf676cc50b210eda21b696bc72ca65da2f9560dc93e4f67f83615e046f2e0

See more details on using hashes here.

File details

Details for the file pandashifu-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: pandashifu-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for pandashifu-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fce23287cb774f88a29d906f08d26b67febfe43e49be3d64c9cca873983933ed
MD5 371ba8fe52fb284d28386ab3b47b24bf
BLAKE2b-256 fd75671b878f8a744d2446cedadd07da319e6c1ec4a36baa0cd6cb4c6fa2497c

See more details on using hashes here.

Supported by

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