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Episode 247: The Philosophy of Good Software Design
2025-08-15 · 12:00
In this episode, Conor and Ben chat about the philosophy of good software design, learning languages and more! Link to Episode 247 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Socials ADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBen Deane: Twitter | BlueSkyShow Notes Date Recorded: 2025-08-05 Date Released: 2025-08-15 非诚勿扰 (Fei Chang Wu Rao) TV ShowSTLab Videos (Adobe Training)Sean Parent TalksA9 VideosSoftware Engineering Languages - Titus Winters - CppNorth 2022C++: Engineers Wanted, Programmers not so Much - David Sankel - C++Now 2019Intro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8 |
ADSP: Algorithms + Data Structures = Programs |
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8º MeetUp de PyData Granada: Datos Abiertos + Machine Learning en Alzheimer
2024-10-17 · 17:00
🕒 AGENDA 7:00pm - Apertura de puertas y networking 7:05pm - Breve presentación de PyData Granada y bienvenida de la Fundación PTS 7:15pm - Datos abiertos en tiempos modernos. Problemas\, soluciones y algunas ideas. Colaborar y usar datos para tomar decisiones es una tarea complicada, más aún cuando hay que usar datos públicos de varias fuentes. Sin embargo, gracias a nuevas tecnologías y estándares, es posible crear portales de datos abiertos que faciliten la colaboración y la reutilización de los datos. ¿Por qué no aprovechar tecnologías que usan las empresas para mejorar la calidad de los datos abiertos y fomentar la colaboración? En esta charla veremos cómo se puede crear un portal de datos abiertos moderno usando herramientas (DuckDB, Dagster, dbt) y estándares abiertos (Arrow, Parquet). Ponente:
7:50pm - Machine Learning en el estudio del Alzheimer. Aplicaciones desde la ingeniería para la clínica. El Alzheimer es una enfermedad compleja y su estudio requiere de la integración de múltiples fuentes de datos clínicos, neuroimágenes y biomarcadores. La interpretación de estos datos es un desafío, especialmente cuando la precisión y rapidez son clave para mejorar el diagnóstico y tratamiento. Sin embargo, gracias a los avances en aprendizaje máquina, es posible desarrollar herramientas que apoyen a los profesionales clínicos en la toma de decisiones. En esta charla exploraremos cómo podemos ayudar a los neurólogos en el diagnóstico del Alzheimer mediante procedimientos basados en datos que sean interpretables, explicables y responsables. Ponente:
8:25pm - Networking 📢 Llamada a propuestas ¿Te gustaría compartir tus conocimientos y buenas prácticas? Envíanos tu propuesta a través de nuestras redes sociales o contacta con alguien del equipo de organización. 🙏 Agradecimientos 🎭 Código de conducta Los eventos de PyData Granada se rigen por los códigos de conducta de NumFocus y de la Python Software Foundation. ✅ Certificados de asistencia Si necesitas un certificado de asistencia indícalo durante el registro y acércate a recogerlo cuando termine el evento. No se generarán certificados a posteriori. ✨ ¿Qué es PyData? PyData es una comunidad diversa de personas interesadas en el uso y desarrollo de herramientas de análisis de datos con el objetivo de compartir ideas y aprender. Nos reunimos para discutir las mejores prácticas, nuevos enfoques y tecnologías emergentes para la gestión de datos, procesamiento, análisis y visualización. Utilizamos muchos lenguajes de programación, incluyendo (pero no limitado a) Python, Julia y R. ▶ ¡Síguenos en redes!
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8º MeetUp de PyData Granada: Datos Abiertos + Machine Learning en Alzheimer
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☁️ Serverless London June 2023 (In Person)
2023-06-22 · 17:30
Join us on 22nd June for the next edition of Serverless London Meetup. The event will be in person, with talks being recorded. The event is made possible with sponsorship from Lumigo *** 🎫 Tickets You will need a free ticket from Eventbrite to enter the venue! Ticket sales will end on Tuesday 20th June at 2 pm. Ticket link: https://www.eventbrite.com/e/serverless-london-june-2023-tickets-647952321837 *** 📍Location The event is kindly being hosted by AWS at their Holborn offices. *** 🕚 Rough timings • 6:30 pm - 7:00 pm: Doors open with refreshments • 7:00 pm - 9:00 pm: Talks and Q&A • 9 pm onwards: Pub! *** 📣 Talks Yan Cui - Consultant and Trainer at The Burning Monk & AWS Serverless Hero Sean Leach - VP of Technology at Fastly Maxime David - Software Engineer at Datadog & AWS Community Builder *** 🛠️👀 Lumigo Lumigo is a monitoring and troubleshooting platform that helps developers quickly identify and resolve critical issues in distributed environments using smart monitoring, troubleshooting, and end-to-end tracing. ☁️ 💫 aleios We help startups disrupt and large organisations to remain competitive using the best of Cloud-Native, Serverless. Experts in delivery of highly scalable systems we connect people, liberate data and create innovation through technology. |
☁️ Serverless London June 2023 (In Person)
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Episode 130: C++Now 2023 with Ben Deane & Tristan Brindle!
2023-05-19 · 13:00
Conor Hoekstra
– host
,
Tristan Brindle
– freelance programmer and trainer; director, C++ London Uni
@ C++ London Uni
,
Bryce Adelstein Lelbach
– host
,
Ben Deane
– guest
In this episode, Conor and Bryce chat with Ben Deane and Tristan Brindle about C++Now 2023! Link to Episode 130 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guests Ben Deane has been programming in C++ for this whole millennium. He spent just over 20 years in the games industry working for companies like EA and Blizzard; many of the games he worked on used to be fondly remembered but now he’s accepted that they are probably mostly forgotten. After getting more interested in modern C++, in the teens he started giving internal company talks and then talks at various conferences, spreading ideas about types, algorithms and declarative and functional techniques. Tristan Brindle a freelance programmer and trainer based in London, mostly focussing on C++. He is a member of the UK national body (BSI) and ISO WG21. Occasionally I can be found at C++ conferences. He is also a director of C++ London Uni, a not-for-profit organisation offering free beginner programming classes in London and online. He has a few fun projects on GitHub that you can find out about here. Show Notes Date Recorded: 2023-05-16 Date Released: 2023-05-19 ADSP Episode 24: C++Now 2021 with Ben Deane & Tony Van EerdADSP Episode 29: From Papa John’s to Google (Part 1)ADSP Episode 58: Otto & Eric Niebler! (Part 1)Conquering C++20 Ranges - Tristan Brindle - CppCon 2021libc++C++NowBen Deane Talk PlaylistC++Now 2018: Ben Deane “Easy to Use, Hard to Misuse: Declarative Style in C++”Sean Parent’s C++ SeasoningDeclarative thinking, declarative practice - Kevlin Henney - Meeting C++ 2017CppCon 2016: Ben Deane “std::accumulate: Exploring an Algorithmic Empire”C++Now 2023: Calendrical C++: std::chrono, History, Mathematics and the Computus - Ben DeaneC++Now 2023: Speeding Date: Implementing Fast Calendar Algorithms - Cassio NeriLeap YearsC++Now 2023: Applicative: the Forgotten Functional Pattern - Ben DeaneC++Now 2019: Ben Deane “Identifying Monoids: Exploiting Compositional Structure in Code”C++Now 2023: What is Low Latency C++? (Part 1) - Timur DoumlerMonoids, Monads, and Applicative Functors: Repeated Software Patterns - David Sankel - CppCon 2020Intro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download: http://bit.ly/l-miss-you |
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Episode 49: Special Guest Dave Abrahams! (Part 2)
2021-10-29 · 13:00
Conor Hoekstra
– host
,
Bryce Adelstein Lelbach
– host
,
Dave Abrahams
– principal scientist
@ Adobe
In this episode, Bryce and Conor interview Dave Abrahams about how he went from programming BASIC to APL to C++! About the Guest: Dave Abrahams is a contributor to the C++ standard, a founding contributor of the Boost C++ Libraries project and of the BoostCon/C++Now conference, and was a principal designer of the Swift programming language. He recently spent seven years at Apple, culminating in the creation of the declarative SwiftUI framework, worked at Google on Swift for TensorFlow, and is now a principal scientist at Adobe, where he and Sean Parent are rebooting the Software Technology Lab. Date Recorded: 2021-10-03 Date Released: 2021-10-29 ADSP Episode 48: Special Guest Dave Abrahams!Algorithms + Data Structures = ProgramsNiklaus WirthCombinatory LogicStepanov’s “Notes on Higher Order Programming in Scheme”PDP-8BASIC Computer Games by David AhlRutgers UniversityPDP-10TECOAPLPrinceton UniversityAaron Hsu’s Co-dfns GPU CompilerSwift Programming LanguageConor’s Galaxy Brain Programming LanguagesBen Deane’s Six languages worth knowingLisp MachineEmacsComposer’s MosaicTHINK CException handling: a false sense of security - Tom GargillIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8 |
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#59 Data Science R&D at TD Ameritrade
2019-04-01 · 06:00
This week, Hugo speaks with Sean Law about data science research and development at TD Ameritrade. Sean’s work on the Exploration team uses cutting edge theories and tools to build proofs of concept. At TD Ameritrade they think about a wide array of questions from conversational agents that can help customers quickly get to information that they need and going beyond chatbots. They use modern time series analysis and more advanced techniques like recurrent neural networks to predict the next time a customer might call and what they might be calling about, as well as helping investors leverage alternative data sets and make more informed decisions. What does this proof of concept work on the edge of data science look like at TD Ameritrade and how does it differ from building prototypes and products? And How does exploration differ from production? Stick around to find out. LINKS FROM THE SHOW DATAFRAMED GUEST SUGGESTIONS DataFramed Guest Suggestions (who do you want to hear on DataFramed?) FROM THE INTERVIEW Sean on TwitterSean's WebsiteTD Ameritrade Careers PagePyData Ann Arbor MeetupPyData Ann Arbor YouTube Channel (Videos)TDA Github Account (Time Series Pattern Matching repo to be open sourced in the coming months)Aura Shows Human Fingerprint on Global Air Quality FROM THE SEGMENTS Guidelines for A/B Testing (with Emily Robinson ~19:20) Guidelines for A/B Testing (By Emily Robinson)10 Guidelines for A/B Testing Slides (By Emily Robinson) Data Science Best Practices (with Ben Skrainka ~34:50) Debugging (By David J. Agans)Basic Debugging With GDB (By Ben Skrainka)Sneaky Bugs and How to Find Them (with git bisect) (By Wiktor Czajkowski)Good logging practice in Python (By Victor Lin) Original music and sounds by The Sticks. |
DataFramed |