Skip to main content

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.

Metadata

Release files for logic-ds-bm 1.0.0

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

Built distribution (wheel)

Table of built distributions (wheels) for logic-ds-bm 1.0.0
File Interpreter ABI Platform
logic_ds_bm-1.0.0-py3-none-any.whl Python 3 none any Details

Release files / logic_ds_bm-1.0.0-py3-none-any.whl

Download URL logic_ds_bm-1.0.0-py3-none-any.whl
Size 3.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7443abb87bf60fd8f8ac9d64a19312a58632fceb59f44f1dcefa9d3ab9e4baf8
BLAKE2b-256 checksum
How to use checksums
014b38e2fbaa3e2f126e951c5e694b84d34141634e2cf2c3d1bed9bb63029eb4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.10

Release history Release notifications | RSS feed

This release

1.0.0 This release

1 release file

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