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166 件
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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
スライド 2 枚1:04:56EN
Jane Street· 2016年3月31日Yaron Minsky on Incremental: From Research Idea to Production LibraryYaron Minsky · Jane StreetA history of the algorithms, memory problems and performance tradeoffs behind Jane Street’s OCaml library for self-adjusting computations.Programming LanguagesSoftware engineeringDeveloper productivity
スライド 3 枚1:12:41EN
Jane Street· 2016年3月31日Ron Minsky on Trading, Correctness and Jane Street’s Shift to OCamlYaron Minsky · Jane StreetA Jane Street technologist explains the market-making business and why readability, types and predictable performance shaped the firm’s choice of OCaml.Programming LanguagesSoftware engineeringInvesting
スライド 5 枚51:35EN
Jane Street· 2016年3月31日Yaron Minsky on Effective ML: Interfaces, Invariants and Code ReadersYaron Minsky · Jane StreetIn the first part of a 2011 Harvard lecture, Jane Street’s Yaron Minsky shows how OCaml interfaces and types can make long-lived code easier to understand and change.Programming LanguagesSoftware engineeringCode review & verification
10:20EN
Lex Fridmanポッドキャスト · 2 人How C++ Is Standardized: Votes, Consensus and the Move to a Three-Year Release Cycleゲスト Bjarne Stroustrup · ホスト Lex FridmanBjarne Stroustrup explains how the ISO committee works, why C++0x slipped to C++11, and how shorter cycles made C++14, C++17 and C++20 arrive on time.オープンソースとコミュニティProgramming LanguagesSoftware engineering+1
1:19:25EN
Lenny's PodcastポッドキャストInside Mercado Libre: How 18,000 Engineers Ship 30,000 Changes a Day Without an Army of PMsホスト Lenny RachitskySebastian Barrios, formerly head of product and engineering at Mercado Libre and now SVP of Engineering at Roblox, explains how a Latin American giant runs engineering and product as one team.企業と戦略LeadershipCompany Building+3
1:23:15EN
Lenny's Podcastポッドキャスト · 2 人Camille Fournier on Rewrites, One-on-Ones and Building Platform Teamsゲスト Camille Fournier · ホスト Lenny RachitskyThe author of The Manager's Path explains what annoys engineers about PMs, why rewrites are a trap, how to move into management, and what makes platform teams work.プロダクトと UXProduct ManagementProduct Leadership+3
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