In this episode, Conor and Ben chat about solving advent of code problems in C++ and BQN. Link to Episode 215 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 Generated: 2024-12-16 Date Released: 2025-01-03 Advent of Code 2024AoC 2024 Day 5Ben's C++ SolutionConor's BQN SolutionConor's AoC Video PlaylistBQNC++ std::multimapC++20 std::ranges::is_sortedC++20 std::ranges::sortAlgorithms as a Tool of Thought // Conor Hoekstra // APL Seeds '21C++23 std::views::enumeratePython enumerateScala zipWithIndexComposition Intuition II - Conor Hoekstra - CppNorth 2024Intro 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

In this episode, Conor and Ben chat about different approaches to solving Advent of Code problems in BQN, Python and more. Link to Episode 214 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 Generated: 2024-12-16 Date Released: 2024-12-27 Advent of Code 2024Conor's AoC Video PlaylistAPLBQNPython functools.cacheTo Mock a MockingbirdCppNorth 2024 Keynote: Advent of Code, Behind the Scenes - Eric WastlBQN ‿∘ (Computed Reshape)BQN •ParseFloatBQN •BQNBQN ⍟ (repeat)C++20 std::views::iotaHaskell iteratePython Counter collectionBQN /⁼ Indices Inverse Histogram IdiomBQN AoC 2024 LeaderboardIntro 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

In this episode, Bryce and Conor chat about NumPy, summed-area tables and more. Link to Episode 213 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Generated: 2024-12-10 Date Released: 2024-12-20 NumPyScalar FunctionsMonadic Pervasive Functions (Uiua)NumbaPython frompyfuncSummed-area tablesSummed-area tables in BQN (Tweet)BQN ˘ (Cells)Leading Axis TheorySoftmaxllm.cConvolutional Neural Networks in APLIntro 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

Supported by Our Partner DX⁠ → DX is an engineering intelligence platform designed by leading researchers — In today’s episode of The Pragmatic Engineer, I’m joined by Sean Goedecke, Staff Software Engineer at GitHub. Sean is widely known for his viral blog post, “How I ship projects at big tech companies.” In our conversation, he shares how to successfully deliver projects in large tech companies.

Drawing from his experiences at GitHub and Zendesk, Sean reflects on key lessons learned, and we discuss the following topics:  • Why shipping cannot exclude keeping management happy • How to work on stuff the company actually values • Why you should take on extra responsibility to get projects done • Why technical skills are still more important than soft skills • Soft skills you should learn: including learning the “management lingo” • First-hand remote work learnings: advantages, disadvantages, and how to thrive in this setup • … and much more! — Timestamps (00:00) Intro (01:50) An explanation of shipping (05:35) Reasons management may choose to ship something customers don’t love (09:20) A humbling learning from Sean’s time at Zendesk (13:27) The importance of learning which rules need to be broken for good business outcomes (15:28) Common obstacles to shipping (18:13) DRI: Directly responsible individual (23:06) The value of strong technical skills and why moving fast is imperative (28:44) How to leverage your technical skills the right way (32:16) Advice on earning the trust of leadership (36:10) A time Gergely shipped a product for a political reason  (38:30) What GenAI helps software engineers do more easily  (41:08) Sean’s thoughts on GenAI making engineers more ambitious  (43:20) The difficulty of building AI tools (46:10) Advantages of working remotely and strategies for making it work (52:34) Who is best suited to remote work (54:48) How the pandemic provided a remote work trial for Sean (56:45) Rapid fire round — The Pragmatic Engineer deepdives relevant for this episode: • Software Engineers Leading Projects ⁠https://newsletter.pragmaticengineer.com/p/engineers-leading-projects⁠ • Shipping to production ⁠https://newsletter.pragmaticengineer.com/p/shipping-to-production⁠ • Paying down tech debt ⁠https://newsletter.pragmaticengineer.com/p/paying-down-tech-debt⁠ — See the transcript and other references from the episode at ⁠⁠https://newsletter.pragmaticengineer.com/podcast⁠⁠ — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email [email protected].

Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

Deriving business value from analytics is a challenging process. Turning data into information requires a business analyst who is adept at multiple technologies including databases, programming tools, and commercial analytics tools. This practical guide shows programmers who understand analysis concepts how to build the skills necessary to achieve business value. Author Deanne Larson, data science practitioner and academic, helps you bridge the technical and business worlds to meet these requirements. You'll focus on developing these skills with R and Python using real-world examples. You'll also learn how to leverage methodologies for successful delivery. Learning methodology combined with open source tools is key to delivering successful business analytics and value. This book shows you how to: Apply business analytics methodologies to achieve successful results Cleanse and transform data using R and Python Use R and Python to complete exploratory data analysis Create predictive models to solve business problems in R and Python Use Python, R, and business analytics tools to handle large volumes of data Commit code to GitHub to collaborate with data engineers and data scientists Measure success in business analytics

In this podcast episode, we talked with Isabella Bicalho about Career advice, learning, and featuring women in ML and AI.

About the Speaker:

Isabella is a Machine Learning Engineer and Data Scientist with three years of hands-on AI development experience. She draws upon her early computational research expertise to develop ML solutions. While contributing to open-source projects, she runs a newsletter dedicated to showcasing women's accomplishments in data science.

During this event, the guest discussed her transition into machine learning, her freelance work in AI, and the growing AI scene in France. She shared insights on freelancing versus full-time work, the value of open-source contributions, and developing both technical and soft skills. The conversation also covered career advice, mentorship, and her Substack series on women in data science, emphasizing leadership, motivation, and career opportunities in tech.

0:00 Introduction 1:23 Background of Isabella Bicalho 2:02 Transition to machine learning 4:03 Study and work experience 5:00 Living in France and language learning 6:03 Internship experience 8:45 Focus areas of Inria 9:37 AI development in France 10:37 Current freelance work 11:03 Freelancing in machine learning 13:31 Moving from research to freelancing 14:03 Freelance vs. full-time data science 17:00 Finding first freelance client 18:00 Involvement in open-source projects 20:17 Passion for open-source and teamwork 23:52 Starting new projects 25:03 Community project experience 26:02 Teaching and learning 29:04 Contributing to open-source projects 32:05 Open-source tools vs. projects 33:32 Importance of community-driven projects 34:03 Learning resources 36:07 Green space segmentation project 39:02 Developing technical and soft skills 40:31 Gaining insights from industry experts 41:15 Understanding data science roles 41:31 Project challenges and team dynamics 42:05 Turnover in open-source projects 43:05 Managing expectations in open-source work 44:50 Mentorship in projects 46:17 Role of AI tools in learning 47:59 Overcoming learning challenges 48:52 Discussion on substack 49:01 Interview series on women in data 50:15 Insights from women in data science 51:20 Impactful stories from substack 53:01 Leadership challenges in projects 54:19 Career advice and opportunities 56:07 Motivating others to step out of comfort zone 57:06 Contacting for substack story sharing 58:00 Closing remarks and connections

🔗 CONNECT WITH ISABELLA BICALHO Github: github https://github.com/bellabf LinkedIn:   / isabella-frazeto  

🔗 CONNECT WITH DataTalksClub Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html Datalike Substack - https://datalike.substack.com/ LinkedIn:   / datatalks-club  

In this episode, Bryce and I catch up and chat about the AI generated ADSP Episode 211. Link to Episode 212 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Generated: 2024-12-10 Date Released: 2024-12-13 Gantt ChartADSP Episode 211: Power, Politics and Misconduct in C++ ✨ADSP Episode 211 GitHub DiscussionWhisper AIAudacityFinal SolutionBlog Post: On "Safe" C++ - HELL IN A REFCELLReddit CommentsNotebookLMIntro 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

Supported by Our Partner DX⁠ → DX is an engineering intelligence platform designed by leading researchers — In today’s exciting episode of The Pragmatic Engineer, I am joined by two members of the Notion mobile apps team, Austin Louden and Karn Saheb. Austin and Karn joined Notion in 2019 when Notion was revamping its mobile apps.  Notion is a versatile productivity and collaboration platform that combines note-taking, task management, and knowledge organization into a single workspace. It is available as a web app, as well as iOS and Android apps for mobile use. In our conversation today, we take a deep dive into how the Notion mobile team operates and discuss the following:  • What the engineering culture is like at Notion  • Why the mobile team focuses so much on app performance • The incremental shift from Cordova to Native  • Notion’s tech stack and frameworks they rely on  • How the mobile team maintains consistency across iOS and Android • Unique features of the development process, including a public beta, using modules, and practices around feature flags • … and much more! — Timestamps (00:00) Intro (02:03) The RFC process at Notion  (06:00) How Notion uses internal channels to share RFCs (07:57) Some of the unique ways the mobile team works (11:07) Why they don’t do sprint planning at Notion—and what they do instead (12:57) An overview of the size of Notion and teams at Notion (13:15) The beginning of mobile at Notion (14:40) A simple explanation of Cordova (15:40) Why Notion decided to revamp mobile in 2019 and shift to Native (18:30) How the mobile team evaluated performance as they made the shift to Native (22:00) Scaling mobile and iterations of moving to Native  (26:04) Why the home tab project was so complex (30:59) Why the mobile team saved the editor for last and other future problems (34:35) How mobile works with other teams  (36:50) How iOS and Android teams work together  (38:28) The tech stack at Notion (39:30) How frameworks are used (41:57) Pros and cons of different frameworks and why Swift was the right choice (45:16) How code reviews work at Notion (48:23) Notion’s mobile team’s testing philosophy (50:18) How the mobile team keeps compile time so fast (52:36) Modules in the iOS app (54:50) Modules in the Android app (56:44) Behind the scenes of an app release and the public beta (1:00:34) Practices around feature flags (1:03:00) The four dev environments at Notion (1:04:48) How development apps work  (1:07:40) How and why you can work offline in Notion mobile  (1:10:24) Austin and Karn’s thoughts on the future of mobile engineering  (1:12:47) Advice for junior engineers (1:16:29) Rapid fire round — The Pragmatic Engineer deepdives relevant for this episode:

— Where to find Austin Louden: • GitHub: https://github.com/austinlouden • LinkedIn: https://www.linkedin.com/in/austinlouden • Website: https://austinlouden.com/ Where to find Karn Saheb: • GitHub: https://github.com/Karn • LinkedIn: https://github.com/Karn • Website: https://karn.io Where to find Gergely: • Newsletter: https://www.pragmaticengineer.com/ • YouTube: https://www.youtube.com/c/mrgergelyorosz • LinkedIn: https://www.linkedin.com/in/gergelyorosz/ • X: https://x.com/GergelyOrosz — References and Transcripts: See the transcript and other references from the episode at https://newsletter.pragmaticengineer.com/podcast — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

🌟 Session Overview 🌟

Session Name: Supernovas, Black Holes, and Streaming Data: A Journey in Space with Apache Kafka data streams from NASA Speaker: Frank Munz Session Description: In this fun, hands-on, and in-depth How-To, we explore NASA's GCN project, which publishes various events in space as Kafka topics.

The focus of my talk is on end-to-end data engineering, from consuming the data and ELT-ing the stream, to using generative AI tools for analytics.

We will analyze GCN data in real time, specifically targeting the data stream from exploding supernovas. This data triggers dozens of terrestrial telescopes to potentially reposition and point toward the event.

The speaker will kick off the session by contrasting various ways of ingesting and transforming the data, discussing their trade-offs: Should you use a declarative data pipeline, or can a data analyst manage with SQL only? Alternatively, when would it be better to follow the classic approach of orchestrating Spark notebooks to get the data ingested?

He will answer the question: Does a data engineer working with streaming data benefit from generative AI-based tools and assistants today? Is it worth it, or is it just hype?

The demo is easy to replicate at home, and Frank will share the notebooks in a GitHub repository so you can analyze real NASA data yourself!

This session is ideal for data engineers, data architects who enjoy some coding, generative AI enthusiasts, or anyone fascinated by technology and the sparkling stars in the night sky.

While the focus is clearly on tech, the demo will run on the open-source and open-standards-based Databricks Intelligence Platform (so inevitably, you'll get a high-level overview here too).

🚀 About Big Data and RPA 2024 🚀

Unlock the future of innovation and automation at Big Data & RPA Conference Europe 2024! 🌟 This unique event brings together the brightest minds in big data, machine learning, AI, and robotic process automation to explore cutting-edge solutions and trends shaping the tech landscape. Perfect for data engineers, analysts, RPA developers, and business leaders, the conference offers dual insights into the power of data-driven strategies and intelligent automation. 🚀 Gain practical knowledge on topics like hyperautomation, AI integration, advanced analytics, and workflow optimization while networking with global experts. Don’t miss this exclusive opportunity to expand your expertise and revolutionize your processes—all from the comfort of your home! 📊🤖✨

📅 Yearly Conferences: Curious about the evolution of QA? Check out our archive of past Big Data & RPA sessions. Watch the strategies and technologies evolve in our videos! 🚀 🔗 Find Other Years' Videos: 2023 Big Data Conference Europe https://www.youtube.com/playlist?list=PLqYhGsQ9iSEpb_oyAsg67PhpbrkCC59_g 2022 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEryAOjmvdiaXTfjCg5j3HhT 2021 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEqHwbQoWEXEJALFLKVDRXiP

💡 Stay Connected & Updated 💡

Don’t miss out on any updates or upcoming event information from Big Data & RPA Conference Europe. Follow us on our social media channels and visit our website to stay in the loop!

🌐 Website: https://bigdataconference.eu/, https://rpaconference.eu/ 👤 Facebook: https://www.facebook.com/bigdataconf, https://www.facebook.com/rpaeurope/ 🐦 Twitter: @BigDataConfEU, @europe_rpa 🔗 LinkedIn: https://www.linkedin.com/company/73234449/admin/dashboard/, https://www.linkedin.com/company/75464753/admin/dashboard/ 🎥 YouTube: http://www.youtube.com/@DATAMINERLT

🌟 Session Overview 🌟

Session Name: Open Source Entity Resolution - Needs and Challenges Speaker: Sonal Goyal Session Description: Real world data contains multiple records belonging to the same customer. These records can be in single or multiple systems and they have variations across fields, which makes it hard to combine them together, especially with growing data volumes. This hurts customer analytics - establishing lifetime value, loyalty programs, or marketing channels is impossible when the base data is not linked. No AI algorithm for segmentation can produce the right results when there are multiple copies of the same customer lurking in the data. No warehouse can live up to its promise if the dimension tables have duplicates.

With a modern data stack and DataOps, we have established patterns for E and L in ELT for building data warehouses, datalakes and deltalakes. However, the T - getting data ready for analytics still needs a lot of effort. Modern tools like dbt are actively and successfully addressing this. What is also needed is a quick and scalable way to resolve entities to build the single source of truth of core business entities post Extraction and pre or post Loading.

This session would cover the problem of Entity Resolution, its practical applications and challenges in building an entity resolution system. It will also cover Zingg - an Open Source Framework for building Entity Resolution systems. (https://github.com/zinggAI/zingg/) 🚀 About Big Data and RPA 2024 🚀

Unlock the future of innovation and automation at Big Data & RPA Conference Europe 2024! 🌟 This unique event brings together the brightest minds in big data, machine learning, AI, and robotic process automation to explore cutting-edge solutions and trends shaping the tech landscape. Perfect for data engineers, analysts, RPA developers, and business leaders, the conference offers dual insights into the power of data-driven strategies and intelligent automation. 🚀 Gain practical knowledge on topics like hyperautomation, AI integration, advanced analytics, and workflow optimization while networking with global experts. Don’t miss this exclusive opportunity to expand your expertise and revolutionize your processes—all from the comfort of your home! 📊🤖✨

📅 Yearly Conferences: Curious about the evolution of QA? Check out our archive of past Big Data & RPA sessions. Watch the strategies and technologies evolve in our videos! 🚀 🔗 Find Other Years' Videos: 2023 Big Data Conference Europe https://www.youtube.com/playlist?list=PLqYhGsQ9iSEpb_oyAsg67PhpbrkCC59_g 2022 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEryAOjmvdiaXTfjCg5j3HhT 2021 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEqHwbQoWEXEJALFLKVDRXiP

💡 Stay Connected & Updated 💡

Don’t miss out on any updates or upcoming event information from Big Data & RPA Conference Europe. Follow us on our social media channels and visit our website to stay in the loop!

🌐 Website: https://bigdataconference.eu/, https://rpaconference.eu/ 👤 Facebook: https://www.facebook.com/bigdataconf, https://www.facebook.com/rpaeurope/ 🐦 Twitter: @BigDataConfEU, @europe_rpa 🔗 LinkedIn: https://www.linkedin.com/company/73234449/admin/dashboard/, https://www.linkedin.com/company/75464753/admin/dashboard/ 🎥 YouTube: http://www.youtube.com/@DATAMINERLT

🌟 Session Overview 🌟

Session Name: Fail-Safe BigQuery: Disaster Recovery Automation Techniques Speaker: Karim Wadie Session Description: Disaster recovery planning is critical for business continuity against unforeseen events, the most frequent of which are human errors. To guard against this, organizations need to define a backup strategy for their BigQuery tables and execute it at scale. For that, we introduce BQ Backup Manager[1], an open-source solution developed by Google Consulting Services that acts as a framework for defining varying backup policies across the organization and automating their execution on thousands of tables.

Join our session to learn more about the framework's features, architecture, and how it can immediately benefit your organization or customer.

[1] https://github.com/GoogleCloudPlatform/bq-backup-manager

🚀 About Big Data and RPA 2024 🚀

Unlock the future of innovation and automation at Big Data & RPA Conference Europe 2024! 🌟 This unique event brings together the brightest minds in big data, machine learning, AI, and robotic process automation to explore cutting-edge solutions and trends shaping the tech landscape. Perfect for data engineers, analysts, RPA developers, and business leaders, the conference offers dual insights into the power of data-driven strategies and intelligent automation. 🚀 Gain practical knowledge on topics like hyperautomation, AI integration, advanced analytics, and workflow optimization while networking with global experts. Don’t miss this exclusive opportunity to expand your expertise and revolutionize your processes—all from the comfort of your home! 📊🤖✨

📅 Yearly Conferences: Curious about the evolution of QA? Check out our archive of past Big Data & RPA sessions. Watch the strategies and technologies evolve in our videos! 🚀 🔗 Find Other Years' Videos: 2023 Big Data Conference Europe https://www.youtube.com/playlist?list=PLqYhGsQ9iSEpb_oyAsg67PhpbrkCC59_g 2022 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEryAOjmvdiaXTfjCg5j3HhT 2021 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEqHwbQoWEXEJALFLKVDRXiP

💡 Stay Connected & Updated 💡

Don’t miss out on any updates or upcoming event information from Big Data & RPA Conference Europe. Follow us on our social media channels and visit our website to stay in the loop!

🌐 Website: https://bigdataconference.eu/, https://rpaconference.eu/ 👤 Facebook: https://www.facebook.com/bigdataconf, https://www.facebook.com/rpaeurope/ 🐦 Twitter: @BigDataConfEU, @europe_rpa 🔗 LinkedIn: https://www.linkedin.com/company/73234449/admin/dashboard/, https://www.linkedin.com/company/75464753/admin/dashboard/ 🎥 YouTube: http://www.youtube.com/@DATAMINERLT

🌟 Session Overview 🌟

Session Name: Leveraging Azure PaaS for Real-time Social Media Analysis by Building Streaming Dashboard Speaker: Raghav Matta Session Description: In this session, Raghav and Sundar will delve into a practical business scenario focusing on real-time social media analysis using Azure PaaS offerings.

1. They will begin by addressing a prevalent business challenge concerning social media sentiment analysis.

2. Next, speakers explore a range of Azure services including Azure Functions, Logic Apps, Cognitive Services, Stream Analytics, PowerBI, and Azure Databricks.

3. Moving forward, they will demonstrate how to gather live data in real-time utilizing Azure Cognitive Services Bing Web Search API. Subsequently, they will analyze the data using Azure Stream Analytics and visualize insights using PowerBI.

This course combines hands-on labs with theoretical curriculum aligned with the 'Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution'.

For further information and resources, please refer to: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends https://microsoftlearning.github.io/AI-102-AIEngineer/Instructions/05-analyze-text.html 🚀 About Big Data and RPA 2024 🚀

Unlock the future of innovation and automation at Big Data & RPA Conference Europe 2024! 🌟 This unique event brings together the brightest minds in big data, machine learning, AI, and robotic process automation to explore cutting-edge solutions and trends shaping the tech landscape. Perfect for data engineers, analysts, RPA developers, and business leaders, the conference offers dual insights into the power of data-driven strategies and intelligent automation. 🚀 Gain practical knowledge on topics like hyperautomation, AI integration, advanced analytics, and workflow optimization while networking with global experts. Don’t miss this exclusive opportunity to expand your expertise and revolutionize your processes—all from the comfort of your home! 📊🤖✨

📅 Yearly Conferences: Curious about the evolution of QA? Check out our archive of past Big Data & RPA sessions. Watch the strategies and technologies evolve in our videos! 🚀 🔗 Find Other Years' Videos: 2023 Big Data Conference Europe https://www.youtube.com/playlist?list=PLqYhGsQ9iSEpb_oyAsg67PhpbrkCC59_g 2022 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEryAOjmvdiaXTfjCg5j3HhT 2021 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEqHwbQoWEXEJALFLKVDRXiP

💡 Stay Connected & Updated 💡

Don’t miss out on any updates or upcoming event information from Big Data & RPA Conference Europe. Follow us on our social media channels and visit our website to stay in the loop!

🌐 Website: https://bigdataconference.eu/, https://rpaconference.eu/ 👤 Facebook: https://www.facebook.com/bigdataconf, https://www.facebook.com/rpaeurope/ 🐦 Twitter: @BigDataConfEU, @europe_rpa 🔗 LinkedIn: https://www.linkedin.com/company/73234449/admin/dashboard/, https://www.linkedin.com/company/75464753/admin/dashboard/ 🎥 YouTube: http://www.youtube.com/@DATAMINERLT

In this episode, AI summarizes a blog post and the corresponding reddit thread. Link to Episode 211 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraShow Notes Date Generated: 2024-11-21 Date Released: 2024-12-06 Blog Post: On "Safe" C++ - HELL IN A REFCELLReddit CommentsNotebookLMIntro 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

In this episode, Conor and Ben chat about Ben's C++ Cryptic Crossword. Link to Episode 210 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBen DeaneShow Notes Date Recorded: 2024-11-12 Date Released: 2024-11-29 CppCon 2024 Cryptic CrosswordADSP Episode 201: CppCon 2024 Recap!C++ Weekly by Jason TurnerCarbon Programming LanguageIntro 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

Unlock the power of GenAIOps and accelerate your AI apps from development to production with familiar tools. Learn to get started with AI templates, streamline prompt engineering with Prompty, build apps with SDKs like LangChain, and automate deployment using GitHub Actions. Plus, hear from a real customer who successfully implemented GenAIOps with Azure AI Foundry. Get ready to scale your AI projects effortlessly!

To learn more, please check out these resources: * https://aka.ms/Ignite24Plan-ModernizeAppsforAI * https://techcommunity.microsoft.com/blog/aiplatformblog/the-future-of-ai-the-paradigm-shifts-in-generative-ai-operations/4254216

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Callum Anderson * Marlene Mhangami * Trupti Parkar * Dan Taylor

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK119 | English (US) | AI

MSIgnite

In this episode, Conor and Ben chat about their favorite board games (again). Link to Episode 209 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBen DeaneShow Notes Date Recorded: 2024-11-12 Date Released: 2024-11-22 PaleovetWingspanJaipurSnake & LaddersTroubleScrabbleMonopolySuper Puzzle Fighter II TurboThe Stunning Rise of Scrabble's Strongest NationQuackleCribbageElixir LanguageQBasicYahtzeeIntro 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

Across Visual Studio Code, GitHub, and Copilot SDK, Azure AI Foundry is everywhere developers want to be. Learn how the Azure AI Foundry SDK empowers teams to access their most popular models, integrate Azure AI into their apps, and develop faster with simplified coding experiences.

To learn more, please check out these resources: * https://aka.ms/Ignite24Plan-OperationalizeYourGenAISolutions * https://aka.ms/AzureAIFoundryportalIgnite2024Blog * https://aka.ms/AzureAIFoundrySDKAnnouncement * https://aka.ms/ADAI_OpGenAISols_Plan

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Rob Chambers * Dan Taylor

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK115 | English (US) | AI

MSIgnite

In this episode, Conor and Ben chat about their favorite board games. Link to Episode 208 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBen DeaneShow Notes Date Recorded: 2024-11-12 Date Released: 2024-11-15 Meeting C++ Conferencecode::dive ConferenceCore C++ ConferencePyData NYCRustacean Station PodcastWord on the StreetScrabbleDixitWatergateAFI 100 Listactualol YouTube Channel"Point-Free or Die: Tacit Programming in Haskell and Beyond" by Amar ShahComposition Intuition - Conor Hoekstra - CppNorth 2023CodenamesCATANCATAN: SeafarersCatan TikTok VideoRicochet RobotsIntro 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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Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society. Dive into conversations that should flow as smoothly as your morning coffee (but don’t), where industry insights meet laid-back banter. Whether you’re a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let’s get into the heart of data, unplugged style! In this episode, we are joined by special guest Nico for a lively and wide-ranging tech chat. Grab your headphones and prepare for: Strava’s ‘Athlete Intelligence’ feature: A humorous dive into how workout apps are getting smarter—and a little sassier.Frontend frameworks: HTMX is a tough choice: A candid discussion on using React versus emerging alternatives like HTMX and when to keep things lightweight.Octoverse 2024 trends and language wars: Python takes the lead over JavaScript as the top GitHub language, and we dissect why Go, TypeScript, and Rust are getting love too.GenAI meets Minecraft: Imagine procedurally generated worlds and dreamlike coherence breaks—Minecraft-style. How GenAI could redefine gameplay narratives and NPC behavior.OpenAI’s O1 model leak: Insights on the recent leak, what’s new, and its implications for the future of AI.Tiger Beetle’s transactional databases and testing tales: Nico walks us through Tiger Style, deterministic simulation testing, and why it’s a game changer for distributed databases.Automated testing for LLMOps: A quick overview of automated testing for large language models and its role in modern AI workflows.DeepLearning.ai’s short courses: Quick, impactful learning to level up your AI skills.

In this episode, Conor and Bryce record live from C++ Under the Sea and chat with Mateusz Pusz, Inbal Levi, Floris Bob van Elzelingen and Jonathan Müller. Link to Episode 207 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachGuests Interviewed Mateusz PuszInbal LeviFloris Bob van ElzelingenJonathan MüllerShow Notes Date Recorded: 2024-10-11 Date Released: 2024-11-08 C++ Under the SeaC++ Under the Sea - Conor Hoekstra - Arrays, Fusion and CPUs vs GPUsC++ Flux LibraryRange-v3 LibraryCuPyNVIDIA nvc++ compilerThrust Parallel Algorithm Librarycupy.fuseNumbaNumPyMDCS.aiP3045 Quantities and units libraryJ p: for PrimesIntro 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