Jordan Murphy
Software Engineer
Denver, Colorado, United States
Summary
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RockstarJordan Murphy is a Software Engineer based in Denver with 8 years of experience building resilient IP video systems. He blends hands-on engineering with a strong attention to detail, demonstrated by contributions to pandas documentation that improved example accuracy and clarified docstrings for widely used data-analysis primitives. Comfortable across systems that require both streaming media and reliable data handling, he focuses on correctness and maintainability in production code. Colleagues rely on him to turn subtle bugs and unclear examples into reproducible, well-documented solutions. His background suggests a pragmatic problem-solver who values clean documentation as much as functional features.
7 years of coding experience
Github Skills (5)
pandas10
python10
documentation10
data-analysis10
data-science9
Programming languages (3)
Github contributions (5)
pandas-dev/pandas
Jan 2024 - Apr 2024
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Data Scientist
Data ScientistContributions:38 reviews, 57 PRs, 198 comments in 3 months
Contributions summary:Jordan primarily contributed to documentation improvements within the pandas library, specifically addressing and fixing errors related to the example code (EX03) and general documentation formatting. They updated examples for functions like `to_latex`, `read_pickle`, and `wide_to_long`, and also corrected errors in docstrings across multiple modules and classes, like those in `Styler` and `Index`. The user's work focused on ensuring the accuracy and clarity of the documentation for various pandas functionalities, with a focus on example accuracy.
pythondatalabeled-datamanipulationdataframes
jordan-d-murphy/pandas
Jan 2024 - Mar 2024
(My fork of Pandas for Open Source contributing) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:135 pushes, 99 branches in 2 months
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