gleam-lang/stdlib
Dec 2024 – Dec 2024
1 Month active
Languages Used
ErlangGleamJavaScript
Technical Skills
Algorithm ImplementationList ManipulationMathematical FunctionsRandom SamplingStandard Library Development
Ethan Thoma
PROFILE
Ethan Thoma
Ethan Thomas expanded the Gleam standard library by implementing new mathematical and data-processing features in the gleam-lang/stdlib repository. He added natural logarithm and exponential functions to the Float module, enabling more robust numerical computations for downstream projects. To support efficient random sampling, he introduced a List.sample function using reservoir sampling, which allows uniform selection of list elements without excessive memory use. Working primarily in Gleam and Erlang, Ethan focused on algorithm implementation and list manipulation, delivering a well-scoped feature set. The work addressed practical needs for expressive data pipelines, demonstrating depth in both mathematical function design and standard library development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
275
Activity Months1
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 (2024-12) focused on expanding Gleam's standard library with practical math and data-processing capabilities. Delivered core features in gleam-lang/stdlib: log and exp functions in the Float module and a new List.sample function implemented via reservoir sampling. These changes simplify numerical computations and efficient sampling in user code, enabling more expressive data-processing pipelines and reducing boilerplate.
1 Commits • 1 Features
Dec 1, 2024December 2024 (2024-12) focused on expanding Gleam's standard library with practical math and data-processing capabilities. Delivered core features in gleam-lang/stdlib: log and exp functions in the Float module and a new List.sample function implemented via reservoir sampling. These changes simplify numerical computations and efficient sampling in user code, enabling more expressive data-processing pipelines and reducing boilerplate.
December 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
ErlangGleamJavaScript
Technical Skills
Algorithm ImplementationList ManipulationMathematical FunctionsRandom SamplingStandard Library Development
Repositories Contributed To
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