Julia Language Announces 2019 Google Summer of Code and JSoC Participants
The Julia programming language community has announced the participants for its 2019 summer development programs. While the team received a high volume of quality applications for the Google Summer of Code (GSoC), they were limited to 15 slots by Google. To accommodate additional talented students and their proposed projects, the community launched the Julia Season of Contributions (JSoC), funded by community resources. This initiative ensures that impressive projects are not lost due to slot limitations. The announcement lists 38 selected students working on diverse technical areas, including machine learning, differential equations, graph algorithms, quantum computing, and natural language processing. Notable projects include implementing BERT models, extending DiffEqOperators, and developing differentiable ray tracers. The blog post highlights the continued success of previous years' participants, many of whom remain active contributors. This dual-program approach demonstrates the ecosystem's commitment to fostering new talent and expanding the language's capabilities through open-source collaboration. The listed projects cover both core language improvements and specialized package developments, reflecting the growing maturity and breadth of the Julia ecosystem.
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Julia Language Announces 2019 Google Summer of Code and JSoC Participants
The Julia programming language community has announced the participants for its 2019 summer development programs. While the team received a high volume of quality applications for the Google Summer of Code (GSoC), they were limited to 15 slots by Google. To accommodate additional talented students and their proposed projects, the community launched the Julia Season of Contributions (JSoC), funded by community resources. This initiative ensures that impressive projects are not lost due to slot limitations. The announcement lists 38 selected students working on diverse technical areas, including machine learning, differential equations, graph algorithms, quantum computing, and natural language processing. Notable projects include implementing BERT models, extending DiffEqOperators, and developing differentiable ray tracers. The blog post highlights the continued success of previous years' participants, many of whom remain active contributors. This dual-program approach demonstrates the ecosystem's commitment to fostering new talent and expanding the language's capabilities through open-source collaboration. The listed projects cover both core language improvements and specialized package developments, reflecting the growing maturity and breadth of the Julia ecosystem.
JuliaLang - The Julia programming language