Search Results for "python documentation"

...Data is stored in one JSON file, with GEDCOM import/export and an English, Russian and Romanian interface. Generated static HTML can be hosted without a database. An optional Python server adds comments, correction proposals and a browser editor with roles, validation and git history. Requires Python 3.10+. Source code and documentation: https://github.com/igormel81/gene_archive Fictional demo: https://igormel81.github.io/gene_archive/

...The tool could also be useful and fun for a student, for anyone curious about near-future demographics or CO2 emissions, or curious amateurs. Since it's Open Source (<2000 lines of Python code) you can make your own changes. It runs from the command line and should run on any (MS WIndows, Linux/Unix/Mac OSX) platform running Python 3. A non-Python MS Windows pre-compiled Popppy executable/binary is included for those who just want to run it without having the bother of installing Python 3.x or not wanting to change the source code.

This collection of Python3 modules provides a large range of implemented decision aiding algorithms useful in the field of outranking digraphs based Multiple Criteria Decision Aid (MCDA), especially best choice, linear ranking and absolute or relative rating algorithms with multiple incommensurable criteria. Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs,...

...It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. Additional features include analysis history, configurable scenarios, and built-in documentation.

Tools for documentation and public access to social science studies : web-based interface for study documentation and XML generation under the DDI format, python script to import some tags of XML files to a MySQL database.