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166 件
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スライド 5 枚57:57EN
Jane Street· 2019年5月8日Sebastian Funk on a Fast, Safe and Maintainable Packet ProcessorSebastian Funk · Jane StreetA single-core market-data case study shows how latency targets, allocation control and generated code can coexist with high-level abstractions.Software engineeringBenchmarksインフラとデプロイ
スライド 8 枚1:08:44EN
Jane Street· 2019年3月8日Nathan Linger on Ontology: A Language-Oriented Permissions SystemNathan Linger · Jane StreetHow Jane Street represents permissions as typed declarations and presents them through an English-language interface.Programming LanguagesSoftware engineeringPrivacy & data governance
スライド 7 枚1:18:13EN
Jane Street· 2019年2月11日Lindsey Kuper on Abstractions for Correct and Efficient Parallel ComputingLindsey Kuper · University of California, Santa CruzFrom lattice-based shared state to non-invasive parallel languages and neural-network verification, high-level abstractions can make systems both safer and faster.Programming LanguagesSoftware engineering
1:03:45EN
Jane Street· 2018年12月7日Jane Street and the OCaml CompilerYaron Minsky · Jane StreetRon Minsky traces an accidental language adoption into a long-term commitment to compiler engineering and a shared open-source ecosystem.Programming LanguagesSoftware engineeringDeveloper productivity+1
1:20:09EN
Lex Fridman· 2018年11月29日ポッドキャスト · 2 人Stack Overflow Was Never Designed for Beginnersゲスト Jeff Atwood · ホスト Lex FridmanOn Stack Overflow’s tenth birthday, Jeff Atwood talks with Lex Fridman about puzzles, leadership, Discourse, and why a software team’s health is how fast it can change one word.オープンソースとコミュニティCoding CultureCompany Building+3
1:26:44EN
Lex Fridman· 2018年11月22日ポッドキャスト · 2 人He raised Python like a child, then set it freeゲスト Guido van Rossum · ホスト Lex FridmanIn a 2018 conversation with Lex Fridman, Guido van Rossum traces Python from electronics kits and Conway's Game of Life to the Thursday morning he resigned as benevolent dictator for life.オープンソースとコミュニティProgramming LanguagesOpen-source ecosystems+3
スライド 6 枚1:06:51EN
Jane Street· 2018年10月24日Marius Eriksen: Reflow for Incremental Cloud Data ProcessingMarius Eriksen · GRAILA functional language and runtime turn data workflows into typed programs, reuse prior results and provision cloud resources on demand.Software engineeringインフラとデプロイProgramming Languages
スライド 9 枚1:14:23EN
Jane Street· 2018年8月24日Cristina Rosu: Building Dynamic OCaml Web Apps with Incr_domCristina Rosu · Jane StreetA practical introduction to the Elm architecture, virtual DOM and incremental computation, followed by a live counter-app demonstration.Programming LanguagesSoftware engineeringDeveloper productivity+1
スライド 11 枚1:02:34EN
Jane Street· 2018年5月10日Andy Ray on Designing and Running OCaml on FPGAsAndy Ray · Jane StreetHardCaml turns OCaml into a hardware design language. Andy Ray explains FPGA fundamentals, simulation and verification, then demonstrates an OCaml software stack running on a soft CPU.SemiconductorsProgramming LanguagesSoftware engineering+1
スライド 8 枚1:14:37EN
Jane Street· 2018年4月5日Adding an Effect System to OCamlLeo White · Jane StreetA prototype brings algebraic effects into OCaml’s type system and explores how to track exceptions, I/O and locally mutable state.Programming LanguagesSoftware engineering開発ワークフローとテスト
スライド 5 枚1:08:43EN
Jane Street· 2018年3月19日Ron Minsky on Types and Why They Matter in SoftwareYaron Minsky · Jane StreetType systems can make programs faster, catch mistakes and guide large refactorings, but their value depends on the language and the work. Ron Minsky explains the trade-offs through practical examples.Programming LanguagesSoftware engineering開発ワークフローとテスト
スライド 6 枚1:10:18EN
Jane Street· 2018年2月28日Shriram Krishnamurthi on Designing Computing Curricula for Real ClassroomsShriram Krishnamurthi · Brown UniversityThe Bootstrap project treats curriculum design as an engineering problem: start with goals and constraints, then support teachers and measure learning.EducationProgramming LanguagesSoftware engineering
スライド 6 枚1:06:49EN
Jane Street· 2018年1月30日Bryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.オブザーバビリティと信頼性インフラとデプロイSoftware engineering
スライド 8 枚56:12EN
Jane Street· 2018年1月16日Echoes of Fourier: From Sound Waves to Fast ConvolutionChristopher HardinA practical introduction to Fourier transforms, convolution, and the mathematics of placing a recording in real or imagined acoustic spaces.MathematicsSoftware engineering
スライド 5 枚56:06EN
Jane Street· 2017年12月4日How Jane Street Reviews Code with IronIan Henry · Jane StreetJane Street's internal review tool tracks what each reviewer has actually read, keeps feedback in the code, and enforces review obligations before release.Code review & verificationSoftware engineering開発ワークフローとテスト
スライド 6 枚1:13:25EN
Jane Street· 2017年11月27日Nate Foster: Verifying Programmable Network Data PlanesNate Foster, Yaron Minsky · Cornell UniversityHow p4v applies program verification to packet-processing code, and why its conclusions depend on control-plane assumptions.Programming LanguagesSoftware engineeringCode review & verification
スライド 5 枚52:51EN
Jane Street· 2017年6月20日Caveat Configurator: When Configuration Becomes CodeDominick LoBraico · Jane StreetDominick LoBraico explains why flexible OCaml plugins created production problems at Jane Street, and how configuration generation and disciplined plugin management address them.Software engineeringProgramming Languages開発ワークフローとテスト
スライド 5 枚59:14EN
Jane Street· 2017年3月15日Arjun Guha on Verifying System ConfigurationsArjun Guha · UMass AmherstPuppet manifests can be declarative yet nondeterministic or non-idempotent. A verification tool models resource interactions to find those problems.Software engineeringCode review & verificationProgramming Languages
スライド 6 枚38:17EN
Jane Street· 2017年3月13日How to Build a Reliable Exchange with Deterministic ReplayBrian Nigito · Jane StreetA matching engine, multicast and state-machine replication can turn a high-throughput exchange into a recoverable system. This talk explains the design and its tradeoffs.Software engineeringFintech
スライド 7 枚25:44EN
Jane Street· 2017年3月9日Why Functional Programming Matters at Jane StreetSebastian Funk · Jane StreetA Jane Street developer revisits John Hughes’s classic argument and explains why expressive static types rank highest for trading systems.Programming LanguagesSoftware engineeringCoding Culture
スライド 8 枚28:31EN
Jane Street· 2017年3月9日Incremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.Programming LanguagesSoftware engineeringDeveloper productivity
スライド 3 枚1:09:24EN
Jane Street· 2016年4月5日Yaron Minsky on Effective ML: Writing OCaml for Code ReadersYaron Minsky · Jane StreetPractical lessons from Jane Street on using types, interfaces and abstraction to keep a large OCaml codebase understandable and correct.Programming LanguagesSoftware engineeringCode review & verification+1
スライド 3 枚1:06:39EN
Jane Street· 2016年3月31日Why Jane Street Uses OCamlYaron Minsky · Jane StreetA Jane Street talk explains how functional programming and static types support reliable trading software, and examines the costs of choosing a less common language.Programming LanguagesSoftware engineeringDeveloper productivity+1
23:58EN
Jane Street· 2016年3月31日Effective ML: Errors, Abstraction and Managing ComplexityYaron Minsky · Jane StreetA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.Programming LanguagesSoftware engineeringCode review & verification
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