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
During December 2024, work centered on enhancing the gleam-lang/stdlib repository by expanding its mathematical and data-processing capabilities. The developer implemented natural logarithm and exponential functions in the Float module and introduced a List.sample function using reservoir sampling, enabling efficient, uniform random selection from lists. These additions, written in Gleam and leveraging algorithm implementation and list manipulation skills, aimed to simplify numerical computations and data workflows for downstream users. By focusing on standard library development, the work reduced boilerplate and made expressive data-processing pipelines more accessible, supporting both mathematical functions and random sampling in a type-safe, functional programming environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
275
Activity Months1
Your Network
39 peopleShared Repositories
39
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
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