Skip to main content

Teaching library for the LogicDS project course

Project description

Welcome to the Logic-DS Library Repository by the LogicDS Team, admin: Barnas Monteith, 2024

logic-ds is a Python library aimed at helping students learn functions; in this library we focus on creating functions that gradually introduce students to core programming concepts like inputs, outputs, return values, conditionals, and loops.

distributed as part of the LogicDS Project, housed at Texas Tech University, in conjunction with the University of FLorida, Center for Science Engagement and Concord Consortium National Science Foundation Award #2201393. This library is intended to be used as a python teaching library, to aid in student understanding of the universal framework concept of LogicDS, which emphasizes he use of logic and reasoning principles in the pedagogical approaches to teaching fundamental skills behind data science, including math/statistics, computer science as well as AI. This library focuses on using alternative methods to aid in student understanding of functions with a focus on set theory, tuples, probability and linear regression. The library is intended to be used along with the documentation and curricula provided through the LogicDS project courses and curricular framework.

For library usage instructions, see DOCUMENTATION

More info about this project can be found at www.logicds.org

This library is distributed under the MIT License. see LICENSE file for additional information.

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

logic_ds_bm2-1.0.0.tar.gz (3.3 kB view details)

Uploaded Source

Built Distribution

logic_ds_bm2-1.0.0-py3-none-any.whl (3.8 kB view details)

Uploaded Python 3

File details

Details for the file logic_ds_bm2-1.0.0.tar.gz.

File metadata

  • Download URL: logic_ds_bm2-1.0.0.tar.gz
  • Upload date:
  • Size: 3.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for logic_ds_bm2-1.0.0.tar.gz
Algorithm Hash digest
SHA256 03decdbd8471f2ead34abd7c7e12b5cb8c5eb379052fd205616b9e85ddbd6030
MD5 1a2834275b74cf3128525d54be9f9ce5
BLAKE2b-256 bdfbee27406354238d50da6c6a557accae56786cb89c2e52439a54735fcd9c22

See more details on using hashes here.

File details

Details for the file logic_ds_bm2-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: logic_ds_bm2-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 3.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for logic_ds_bm2-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2da610d658539ef57d969648733009c5439d7922bbbfe73011b86629e6871f32
MD5 79df3dd2f34a06e443bd57b5da1466f1
BLAKE2b-256 0b6355ec5728da47b8383c6ddda3a262517f38ae5a12653d529b5396afd442bd

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