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examples icon examples

Python script examples adapted for PySide.

flask-restless icon flask-restless

A Flask extension for creating simple ReSTful APIs from SQLAlchemy models.

freecad icon freecad

This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.

intuit-oauth-pythonclient icon intuit-oauth-pythonclient

The Python OAuth client provides a set of methods that make it easier to work with Intuit's OAuth and OpenID implementation.

marathon icon marathon

Rotational permutations of Protein Database (.PDB) files

nevow icon nevow

Web Application Construction Kit

new-albums icon new-albums

This project is for me to experiment with open-source collaboration. So please feel free to chime in and participate. If you like, you can join the 'coder' channel on my discord server. https://discord.gg/mr-rivers-neighborhood . I've been learning programming since 2015 but I've been mostly working on my own. So my github/collaboration skills are weak. I'd like to learn more about collaboration so I can accomplish more as a programmer through teamwork. One reason I've hesitated so long to try this is I'm worried about accidentally exposing API keys, secrets, credentials, and access to my users' data (not that I have much). So this project will be a first, low-risk, foray into the field of open-source collaboration. If things go well here, maybe I can start to open up some of my other repositiories. I could sure use some help. And I love that thought that some of my programs could be useful to others. My first goal here is to understand how different developers can work on a codebase together without sharing credentials; to create a program that different people can use with their own credentials. I've attempted this by requiring collaborators (including myself) to use environment variables.

overholt icon overholt

Example Flask application illustrating some of my common practices

py2neo icon py2neo

Py2neo is a simple and pragmatic Python library that provides access to the popular graph database Neo4j via its RESTful web service interface. With no external dependencies, installation is straightforward and getting started with coding is easy. The library is actively maintained on GitHub, regularly updated in the Python Package Index and is built uniquely for Neo4j in close association with its team and community.

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