Daniel Schult is a Professor of Mathematics in New York with 15 years of experience blending academic rigor and hands-on software engineering. He contributes to major scientific Python projects—SciPy, NetworkX, and PyGraphviz—focusing on backend development, algorithm implementation, and test automation to improve correctness and performance in core numerical and graph libraries. His open-source work includes fixing sparse-matrix indexing bugs, enhancing multigraph performance, and hardening cross-platform tests, showing a penchant for edge cases and robust APIs. Comfortable moving between theory and production-quality code, he brings mathematical insight to practical software problems and a track record of improving reliability in widely used research tools.
Contributions:2425 reviews, 656 commits, 1690 PRs in 12 years 3 months
Contributions summary:Daniel contributed to the NetworkX Python package for graph analysis by implementing algorithms and fixing existing code. Their work included fixing iterator versions for complete_graph, improving performance for multigraphs, and correcting various functions. The user also added improvements related to handling edge cases and providing improved functionality to the package.
Python interface to Graphviz graph drawing package
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:14 reviews, 47 commits, 38 PRs in 2 years 10 months
Contributions summary:Daniel primarily focused on improving the reliability and correctness of the `pygraphviz` library. Their commits included refactoring the code to handle `StopIteration` exceptions, adding comprehensive unit tests using a testing framework to increase code coverage, and modifying existing tests. They also addressed bugs in the core graph manipulation functionality and refactored tests to better handle different operating systems and graphviz versions. These changes contribute to the overall stability and robustness of the Python interface to the Graphviz graph drawing package.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.