Podcast appearances and mentions of Peter Wang

Jim has a wide-ranging conversation with recurring guest Peter Wang on AI copyright frameworks and the rapidly changing tech landscape. They discuss "the Chattening" (ChatGPT's release in November 2022) & its impact, parallels between current AI & the invention of science, humans as narrow-band sensors, cybernetics & control systems, the unbearable slowness of being, the Platonic Representation Hypothesis, language & intelligence, why eyeballs are white, copyright challenges with AI, the Anaconda ML Public License framework for AI rights & usage permissions, AI's impact on various industries, impacts on software engineering careers, giant frontier models vs specialty models, AI models' convergence on underlying reality, representation complexity, evaluation frameworks, and much more. Episode Transcript JRS EP16 - Anaconda CTO Peter Wang on The Distributed Internet JRS Currents 092: Peter Wang on The Meaning Crisis and Consequentiality "The Unbearable Slowness of Being: Why do we live at 10 bits/s?" by Jieyu Zheng & Markus Meister "The Platonic Representation Hypothesis," by Minyoung Huh, Brian Cheung, Tongzhou Wang, & Phillip Isola "Selling Wine Without Bottles: The Economy of Mind on the Global Net," by John Perry Barlow Bluesky Qwen2.5 Instruct (model) Peter Wang is the Chief AI and Innovation Officer and Co-founder of Anaconda. Peter leads Anaconda's AI Incubator, which focuses on advancing core Python technologies and developing new frontiers in open-source AI and machine learning, especially in the areas of edge computing, data privacy, and decentralized computing.

I denne uges episode gæster vært og kommentator Thomas Bilde podcasten, hvor vi blandt andet får os en snak om: hvornår hans interesse for basketball opstod, hans største oplevelser med NBA, hvordan han mødte sin medkommentator Peter Wang, Street-basket i Chinatown NY, hvor stort et øjeblik det var, da danske Iffe Lundberg fik spilletid i NBA og meget andet! Følg Thomas Bilde her: https://www.instagram.com/tbilde/?hl=da

Peter Wang has been pushing Python forward since the early days of its data science roots. We're lucky to have him back on the show. We're going to talk about the Anaconda Toolbox for Excel as well as many other trends and topics that are hot in the Python space right now. I'm sure you'll enjoy listening to the two of us exchanging our takes on the topics and trends. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Bluehost Talk Python Courses Links from the show Peter on BSky: @wang.social Michael on BSky: @mkennedy.codes Michael's Curated BSky Starter List: bsky.app Python Blsky Starter Pack List: blueskydirectory.com Anaconda Toolbox for Microsoft Excel: anaconda.com JupyterLite: jupyter.org 8 of the Biggest Excel Mistakes of All Time: blog.hurree.co The Five Demons of Python Packaging PyBay talk: youtube.com PEP 759: peps.python.org TIOBE Index: tiobe.com pyscript: pyscript.net Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

Send us a textPeter Wang, Chief AI and Innovation Officer and Co-founder of Anaconda, is back. Peter discusses Anaconda's AI incubator. "It turns out Python is still a thing". Python and much, much more.01:27 Meet Peter Wang05:10 Python or R05:51 Anaconda's Differentiation07:08 Why the Name Anaconda08:24 The AI Incubator11:40 GenAI14:39 Enter Python16:08 Anaconda Commercial Services18:40 Security20:57 Common Points of Failure22:53 Branding24:50 watsonx Partnership28:40 AI Risks34:13 Getting Philosophical36:13 China44:52 Leadership StyleLinkedin: linkedin.com/in/pzwangWebsite: https://www.linkedin.com/company/anacondainc/, https://www.anaconda.com/Want to be featured as a guest on Making Data Simple? Reach out to us atalmartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textPeter Wang, Chief AI and Innovation Officer and Co-founder of Anaconda, is back. Peter discusses Anaconda's AI incubator. "It turns out Python is still a thing". Python and much, much more.01:27 Meet Peter Wang05:10 Python or R05:51 Anaconda's Differentiation07:08 Why the Name Anaconda08:24 The AI Incubator11:40 GenAI14:39 Enter Python16:08 Anaconda Commercial Services18:40 Security20:57 Common Points of Failure22:53 Branding24:50 watsonx Partnership28:40 AI Risks34:13 Getting Philosophical36:13 China44:52 Leadership StyleLinkedin: linkedin.com/in/pzwangWebsite: https://www.linkedin.com/company/anacondainc/, https://www.anaconda.com/Want to be featured as a guest on Making Data Simple? Reach out to us atalmartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In today's digital age, we're inundated with a constant stream of information, making it challenging to navigate and make sense of what's important. And now, in the midst of increasingly-capable AI, the very concept of importance is coming into question. Could open source be the solution to managing our impending sensemaking crisis? In this episode of the Win-Win Podcast, we're joined by Peter Wang, a physicist, computer scientist, and founder of Anaconda, one of the most widely used open source platforms for Python development. Peter leads Anaconda's AI Incubator, which focuses on advancing core Python technologies and developing new frontiers in open-source AI and machine learning, especially in the areas of edge computing, data privacy, and decentralized computing. We dig in with Peter to discuss the history and politics of the open source movement, and the security concerns around open sourcing AI models. And we attempt to understand how open source software can enhance transparency and collaboration between players, and how these technologies can be harnessed to better navigate the complexities of our information-rich environment. Chapters: 00:00:00 - What is Open Source Software 00:10:29 - Peter's History with The Open Source Movement 00:35:06 - Security and State Interests in Open Source 00:37:16 - Open Science and The Commons of Knowledge 00:39:40 - The Central Problem of Coordination 00:43:46 - The Solutions That Markets Solve and The Problems They Create 01:04:40 - Synchronous Attention As A Scarce Resource 01:09:23 - The Liminal Act of Modelling The World 01:19:58 - Virtuality and Colorful Dystopias 01:22:03 - Is Technology Values-Neutral? 01:32:30 - Moloch Invades The Tech Stack 01:35:57 - Psychosecurity and The Dangers of Attention-Renting Software 01:42:00 - Is The Global Community Actually Excelling in Science? 01:43:51 - Our Cosmic Scale and The Instruments To Probe It 01:53:18 - The Stagnation of Physics 01:56:06 - The Civilizational Perspective on AI Safety 02:05:23 - The Benefits of Open Source To Society 02:27:26 - Will AI Accelerate A Global Security Crisis? Credits: ♾️ Hosted and Produced by Liv Boeree ♾️ Edited and Mixed by Ryan Kessler Links: ♾️ Peter's Twitter: ⁠https://x.com/pwang?lang=en⁠ ♾️ Anaconda: ⁠https://www.anaconda.com/⁠ ♾️ Peter's Blog: ⁠https://medium.com/@pwang⁠ The Win-Win Podcast: Poker champion Liv Boeree takes to the interview chair to tease apart the complexities of one of the most fundamental parts of human nature: competition. Liv is joined by top philosophers, gamers, artists, technologists, CEOs, scientists, athletes and more to understand how competition manifests in their world, and how to change seemingly win-lose games into Win-Wins. #WinWinPodcast #Moloch #AI #Python

與談嘉賓： 豪覓管理顧問股份有限公司 StarFab Accelerator 周書羽 Ariel Chou / StarFab加速器總監 Program Operations Director 王慈昱Peter Wang / StarFab行銷暨國際合作經理 Marketing and Internationl Cooperation Manager COMPUTEX 2024以「AI串聯、共創未來(Connecting AI)」為主軸， 匯集全球1,500家國內外科技業者、新創企業、創投、加速器等夥伴共襄盛舉。 -節目主持：Raymond -成音剪輯：林佳欣 -製作團隊：TAITRA X Soundtalk Creative -音樂來源：http://www.premiumbeat.com -- Hosting provided by SoundOn

Episode 412 - optaget onsdag d. 27. marts 2024.Ugen har budt på store comebacks, stimer af sejre og nederlag samt en polsk game winner. Vi følger op på de seneste nyheder, svarer på en række lytterspørgsmål og så kommer Peter Wang med sine fem favoritter til mesterskabet i år.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 408 - optaget torsdag d. 29. februar 2024.Peter Wang er tilbage og leverer sit største fokuspunkt til resten af grundspillet, inden fokus rettes mod topholdene i Eastern Conference.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 401 - optaget torsdag d. 18. januar 2024.Pascal Siakam er blevet tradet til Indiana Pacers, James Dolan skal i retten og Joel Embiid vandt igen over Nikola Jokic. Hør mere om ugens største nyheder i dette afsnit, hvor Peter Wang også deler Mid Season-priser ud og kårer tre All-NBA-hold, baseret på den første halvdel af grundspillet.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Det skulle egentlig blot have været en hyggelig nytårspodcast med lidt snak og løst og fast - som vi plejer - men så kom der breaking nyhed ind fra USA. Et trade mellem Toronto og New York betød at dette skulle vi selvfølgelig også vende. Du får det hele her og samtidig også et ønske om et rigtig godt nytår!Medvirkende: Allan Foss, Jens Laulund, Peter Wang og Thomas Bilde. Hosted on Acast. See acast.com/privacy for more information.

Episode 394 - optaget torsdag d. 23. november 2023.Vi ser nærmere på de forventede (og overraskende) tophold i Eastern og Western Conference, inden Peter Wang færdiggør en række sætninger om den første måned af sæsonen.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Today, we cover the Princeton Electric Speedboating team's record-breaking boat, the end of the Hollywood actors' strike, and protests against the Spanish prime minister. Speedboating piece: https://www.dailyprincetonian.com/article/2023/11/princeton-sports-recap-electric-speedboating-world-record-november-2023

Episode 389 - optaget tirsdag d. 24. oktober 2023.Hvor meget spiller stjernerne hos Clippers, får vi Dwight Howard at se i den kommende sæson og hvor sikre er vi på Dallas Mavericks? Få svar på disse og mange flere spørgsmål, når Peter Wang kommer med sin sikkerhedsliste og derefter besvarer 50 spørgsmål om sæsonen 2023-24.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 388 - udgivet torsdag d. 19. oktober 2023.Fem stemmer fra TV 2s NBA-redaktion får stillet fem spørgsmål om den kommende NBA-sæson. Hør panelets holdning til den nye In-Season-turnering, Victor Wembanyamas debutsæson og om favoritterne til mesterskabet.Medvirkende: Thomas Bilde, Jens Laulund, Jacob Prytz, Zacharias Spliid, Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 387 - optaget fredag d. 13. oktober 2023.Vi ser nærmere på de 15 hold, der udgør Western Conference i den kommende NBA-sæson. Hør mere om de største historier fra offseason og hvordan Peter Wang vurderer at holdene skal rangeres.Medvirkende: Peter Wang og Kristoffer Vestrup Hosted on Acast. See acast.com/privacy for more information.

Episode 386 - optaget torsdag d. 12. oktober 2023.Bliv klogere på de 15 Eastern Conference-mandskaber til den kommende NBA-sæson. Vi ser nærmere på de store historier og forandringer fra offseason, inden Peter Wang kommer med sit bud på et hierarki blandt østholdene.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 384 - optaget torsdag d. 5. oktober 2023.Vi ser nærmere på søndagens trade, der sendte Jrue Holiday til Boston Celtics. Derefter kommer Peter Wang med en opdateret liste over hvilke NBA-spillere, der må få prædikatet 'superstjerne'.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Sæsonen 2023-24 bliver den tiende NBA-sæson på TV 2.Vi markerer dette lille jubilæum med denne podcast, hvor vi ser tilbage på nogle af de største historier fra de sidste ni sæsoner.Medvirkende: Thomas Bilde, Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 382 - optaget torsdag d. 28. september 2023.Onsdag aften fik vi et overraskende trade, der sendte Damian Lillard til Milwaukee Bucks og DeAndre Ayton til Portland Trail Blazers. Hør om alle detaljerne i onsdagens handel, som Peter Wang kalder et win-win-win-trade.Medvirkende: Peter Wang og Kristoffer Vestrup Hosted on Acast. See acast.com/privacy for more information.

Episode 379 - optaget torsdag den 14. september 2023.Vi ser nærmere på NBAs nye regler for 'rest' til ligaprofilerne, og så kommer Peter Wang med sine bud på de bedste forsvarsspillere i verdens bedste basketballliga.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 365 - optaget mandag d. 15. maj 2023.NBA-podcast med fokus på og optakt til sæsonens to Conference Finals-serier, hvor Boston Celtics møder Miami Heat og Denver Nuggets står overfor Los Angeles Lakers.Medvirkende: Jens Laulund, Zacharias Spliid, Peter Wang og Jacob Prytz. Hosted on Acast. See acast.com/privacy for more information.

Jim talks with Peter Wang about his idea that meaning comes from making consequential choices. They discuss the immediacy of consequences, the modeling of causal loops, the subjective aspect of causality, two hundred varieties of shampoo, the intersubjective realm, middle-class consumer culture, the desire to be a live player, examples from Succession and Mad Men, the manufacture & commodification of desire, alternative systems of meaning, levels of patterns, false consequence, atomized individualism & the roots of the meaning crisis, the Ruttian meaning of life, negative vs positive freedom, Krishnamurti's choiceless awareness, the new ability to create networked tribes, the liminal, clockwork oranges, facing the Hofstadter terror, taking our place in the mandala of the universe, and much more. "Meaning of Life" - Peter Wang on the Lex Fridman Podcast JRS EP16 - Anaconda CTO Peter Wang on The Distributed Internet JRS EP143 - John Vervaeke Part 1: Awakening from the Meaning Crisis "Freedom 2.0 / Towards a New Physics of Human Systems," by Peter Wang Mental Models w/ Peter Wang - The Stoa series The Gervais Principle, by Venkatesh G. Rao Krishnamurti's Core Teachings A Clockwork Orange, by Anthony Burgess Peter Wang is the co-founder and CEO of Anaconda and one of the most impactful leaders and developers in the Python community. He is also a physicist and philosopher.

Episode 359 - optaget fredag d. 14. april 2023.NBA-podcast, hvor Peter Wang kommer med sine bud på sæsonens individuelle prisvindere og tre All-NBA-hold.Medvirkende: Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 358 - optaget tirsdag d. 11. april 2023.NBA-podcast hvor der bliver stillet seks spørgsmål om NBA-sæsonen 22/23 til seks personer.Medvirkende: Thomas Bilde, Peter Wang, Jens Laulund, Morten Stig Jensen, Jacob Prytz, Zacharias Spliid og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Bilde & Wang – og alt det indimellem – er tilbage efter en lille pause derfor er der også flere hængepartier de to skal have fulgt op på. Snakken går i vanlig stil i alle retninger men rammer både biografen, poloen, NBA og en dejlig masse slik.Medvirkende: Thomas Bilde og Peter Wang. Hosted on Acast. See acast.com/privacy for more information.

Episode 355 - optaget onsdag d. 22. marts 2023.NBA-podcast med en lille hyldest af Willis Reed, fokus på Paul Georges skade, samt en status på New York Knicks, der er vendt tilbage til den sjove afdeling af Eastern Conference.Medvirkende: Jens Laulund, Peter Wang og Kristoffer Vestrup. Hosted on Acast. See acast.com/privacy for more information.

Episode 346 - optaget fredag d. 20. januar 2023. NBA-podcast hvor Peter Wang deler ligaens 30 hold op i passende kategorier og hvor der også besvares en række lytterspørgsmål. Medvirkende: Peter Wang og Kristoffer Vestrup.

In this episode, host Peter Wang is joined by Dr. Patrick Kavanagh, an astrophysicist and software developer at the Dublin Institute for Advanced Studies. Patrick works on the James Webb Space Telescope (JWST), helping to write code that allows scientists to interpret the raw data they receive from space. Patrick talks to Peter about cleaning telescope data sets to make them more scientifically useful, and more. Patrick's team working on the Mid-Infrared Instrument on the JWST writes software in Python to help deliver science-ready data to astronomers and astrophysicists. Patrick's work facilitates more precise study of distant stars and galaxies in a way that fosters public trust. Peter Wang - https://www.linkedin.com/in/pzwang/ Dublin Institute for Advanced Studies - https://www.linkedin.com/school/dublin-institute-for-advanced-studies/ James Webb Space Telescope - https://webb.nasa.gov/     Check out these relevant resources: Dr. Patrick Kavanagh - EuroPython Python and James Webb Judy Schmidt (citizen scientist)  If you enjoyed today's show, please leave a 5-star review. For more information, visit anaconda.com/podcast.     #Computing #AI #Data #DataScience #Analytics

Episode 345 - optaget mandag d. 9. januar 2023. NBA-podcast hvor Peter Wang uddeler priser og stiller tre All-NBA-hold, efter den første halvdel af NBA-grundspillet 22-23. Medvirkende: Peter Wang og Kristoffer Vestrup.

Fra poloen på E45 lyder der et Godt Nytår. Og mens turen som altid går mod Odense så er podcasten denne gang den første i 2023 hvorfor der selvfølgelig er en del nytårsforsæt der skal kæmpes med. Men turen denne gang indeholder også både jokes og et besøg i nogle vanvittige skosamlinger. Og nå ja så starter det hele med en lidelsestur af de helt store for Peter Wang. Så hvis du vil med på turen så velkommen ombord!

In the penultimate episode of season one, host Peter Wang and Carl Meyer, Software Engineer at Instagram (owned by Meta), discuss considerations around making Python faster while maximizing compatibility and performance.   Several years ago, Carl and his team started working on a project called Cinder in an effort to improve CPU efficiency across Meta's servers by “[optimizing] things at the level of Python runtime.” While initially meant to serve as a stop gap, Cinder yielded impressive wins that transformed it into a premier and ongoing project at Instagram.   In addition to Cinder, Peter and Carl discuss: - Carl's experiences with various programming languages like TI-Basic, Perl, and PHP - Challenges around innovating on an established language with 30+ years of history - The potential evolution of Python use cases and best practices - And more!   Peter Wang - https://www.linkedin.com/in/pzwang/ Carl Meyer - https://www.linkedin.com/in/carljm/ Instagram - https://www.linkedin.com/company/instagram/ Cinder - https://github.com/facebookincubator/cinder   If you enjoyed today's show, please leave a 5-star review. For more information, visit https://www.anaconda.com/podcast.   #Computing #AI #Data #DataScience #Analytics

Episode 343 - optaget søndag d. 18. december 2022. NBA-podcast med opvarmning til og fokus på sæsonens juledagskampe på TV 2 SPORT. Medvirkende: Thomas Bilde og Peter Wang.

This episode's conversation between host Peter Wang and Ryan Abernathey, Associate Professor at Columbia University in the City of New York, explores climate science, scientific computing, data accessibility, and more.    Topics that Peter and Ryan cover include: - Cloud computing - Open data and collaboration - Climate science and the private sector - Open-source projects like Pangeo Forge and Xarray   Climate data is sometimes restricted in the way it flows between interested parties; the growth of private industry around data storage and dissemination has put up barriers to entry that can limit access to valuable systems and data. This is especially troubling to Ryan because these barriers often exclude some of the people who are most affected by climate change. He feels that usable information can and should be made accessible without undermining private interests.   Peter Wang - https://www.linkedin.com/in/pzwang/ Ryan Abernathey - https://www.linkedin.com/in/ryan-abernathey-32a70652/ Columbia University in the City of New York - https://www.linkedin.com/school/columbia-university/ Pangeo Forge - https://pangeo-forge.org/ Xarray - https://docs.xarray.dev/en/stable/   You can find a human-verified transcript of this episode here. - https://know.anaconda.com/rs/387-XNW-688/images/ANACON_%20Ryan%20Abernathey_HVT.docx.pdf   If you enjoyed today's show, please leave a 5-star review. For more information, visit https://www.anaconda.com/podcast.  

Alyssa Alhadeff (14) Scott Beigel (35) Martin Duque (14) Nicholas Dworet (17) Aaron Feis (37) Jaime Guttenberg (14) Chris Hixon (49) Luke Hoyer (15) Cara Loughran (14) Gina Montalto (14) Joaquin Oliver (17) Alaina Petty (14) Meadow Pollack (18) Helena Ramsay (17) Alex Schachter (14) Carmen Schentrup (16) Peter Wang (15) These are the names of the 17 victims murdered in six minutes on Valentine's Day 2018 by Nikolas Cruz in Parkland, Florida.  Nikolas managed to wound 17 additional people in the chaos and carnage. Join us for this double episode of the True Crime Society Podcast where we discuss the Parkland School Shooting. In episode one, we discussed Nikolas Cruz's childhood and the timeline of the shooting up to his arrest. In episode two, we will discuss the legal process, recent trial and will also tell the stories of the victims. You can listen to episode one on Spotify - https://open.spotify.com/episode/6HxTa4SELpKm4errTXGqZN?si=NmqIRWRhQoyLePBhyDWmqQ And Apple here- https://podcasts.apple.com/au/podcast/true-crime-society/id1504300714?i=1000587342450&fbclid=IwAR0ST2tur4ABqr8ZNSoWkeXEFywjzl_X7NA4TXNU932qa44rWr4GEFxTTMU You can read our blogs for this case –  https://truecrimesocietyblog.com/2022/11/15/nightmare-in-parkland-florida/ https://truecrimesocietyblog.com/2022/11/20/the-victims-of-parkland/ This episode is sponsored by: EveryPlate – America's Best Value Meal Kit.  Get your first box for just $1.49 per meal by going to EveryPlate.com/PODCAST and use code tcs 149. Mind Bullet – Feel your best every day.  Visit mindbullet.com and enter code TCS at check out for 25% off your first order. Skylight Frames -  The holidays are just around the corner!  Looking for a good gift idea that your parents or in-laws will genuinely love? Get $15 off your purchase of a Skylight Frame at SkylightFrame.com and use code SOCIETY.

In this episode, host Peter Wang is joined by Elena Samuylova, CEO and Co-Founder of Evidently AI. Peter and Elena discuss how Evidently AI's open-source tooling is helping users monitor machine learning (ML) models, and why that's important.   Elena has found that Evidently AI's open-source approach is attractive to data scientists and ML engineers who are ramping up model maintenance, retraining, and monitoring efforts.   Peter and Elena also touch on: - On-premises versus cloud-based deployment - ML model monitoring best practices - The value of pipeline testing - And more!   You can find a human-verified transcript of this episode here. - https://know.anaconda.com/rs/387-XNW-688/images/ANACON_%20Elena%20Samuylova_%20HVT.docx.pdf If you enjoyed today's show, please leave a 5-star review. For more information, visit anaconda.com/podcast.   #ML #AI #Data #DataScience #Analytics

In this episode, host Peter Wang speaks with Torsten Grabs, Director of Product Management at Snowflake, about how Snowflake solutions support professionals in data science, machine learning, and advanced analytics. Torsten has worked with data throughout his entire career. At Snowflake, he focuses on Snowflake's data lake, data pipelines, and data science workloads, as well as Snowflake's developer and partner ecosystem. Thanks to the broader language compatibilities of Snowflake and its Snowpark library, data engineering is becoming more accessible beyond the SQL community. Torsten and Snowflake continue to work to unify and accelerate data workflows. Peter Wang - https://www.linkedin.com/in/pzwang/ Tosten Grabs - https://www.linkedin.com/in/torstengrabs/ Snowflake - https://www.linkedin.com/company/snowflake-computing/   Learn more about Snowpark for Python, - https://www.snowflake.com/snowpark/ now generally available, - https://www.snowflake.com/news/snowflake-disrupts-application-development-with-general-availability-of-snowpark-for-python-native-streamlit-support-and-more/ and get started with the Snowpark Developer Guide for Python. - https://docs.snowflake.com/en/developer-guide/snowpark/python/index.html Then, dive into the Snowflake-Anaconda partnership - https://www.snowflake.com/blog/snowflake-partners-with-and-invests-in-anaconda-to-bring-enterprise-grade-open-source-python-innovation-to-the-data-cloud/ and learn how Snowflake customers like Allegis Group are leveraging Snowpark for Python. https://www.snowflake.com/blog/snowflake-partners-with-and-invests-in-anaconda-to-bring-enterprise-grade-open-source-python-innovation-to-the-data-cloud/   Access Anaconda's State of Data Science report, referenced by Peter, here. - https://www.anaconda.com/state-of-data-science-report-2022   You can find a human-verified transcript of this episode here. - https://know.anaconda.com/rs/387-XNW-688/images/ANACON_Paco_Nathan_V1.docx.pdf   If you enjoyed today's show, please leave a 5-star review. For more information, visit anaconda.com/podcast.

In “Autopoiesis in Systems of People and Machines,” Peter Wang welcomes Paco Nathan. Paco is a Managing Partner at Derwen, Inc., a company that offers enterprise customers full-stack engineering for AI applications at scale, with an emphasis on open-source integrations. Paco forged a career in artificial intelligence when many people were skeptical of it and now boasts over 40 years of computer science experience.   Peter and Paco discuss histories and frameworks that are impacting today's systems of people and machines. Paco touches on corporate law and how long ago, the concept of insurance allowed for the externalization of risk and corresponding enablement of capital ventures. Paco goes on to talk about autopoiesis, the Chilean Project Cybersyn and the significance of groupware, and the core of human intelligence.   Peter and Paco also discuss the increasing complexity of today's world in which less and less is linear, which requires improved cognition for survival, and the cybernetic future. Resources: “A Brief History Of Reinsurance” (David M. Holland) - https://www.soa.org/globalassets/assets/library/newsletters/reinsurance-section-news/2009/february/rsn-2009-iss65-holland.pdf     Santa Clara County v. Southern Pacific Railroad Co., 118 U.S. 394 (1886) - https://supreme.justia.com/cases/federal/us/118/394/     “Law as an Autopoietic System” (Gunther Teubner) - https://cadmus.eui.eu/handle/1814/23894 Autopoiesis and Cognition: The Realization of the Living (Humberto Maturana and Francisco Varela) - https://en.wikipedia.org/wiki/Autopoiesis_and_Cognition:_The_Realization_of_the_Living   Project Cybersyn - https://99percentinvisible.org/episode/project-cybersyn/    “Understanding Computers and Cognition” (Terry Winograd and Fernando Flores) - https://philpapers.org/rec/WINUCA   Macy Conferences - https://en.wikipedia.org/wiki/Macy_conferences   Norbert Wiener - https://en.wikipedia.org/wiki/Norbert_Wiener   “What the Frog's Eye Tells the Frog's Brain” (J.Y. Lettvin et al.) - https://hearingbrain.org/docs/letvin_ieee_1959.pdf   Social Systems - https://www.sup.org/books/title/?id=2225   Niklas Luhmann - https://en.wikipedia.org/wiki/Niklas_Luhmann   Dubberly Design (Paul Pangaro) (When Paco references Donoho Design, he means Dubberly Design.) - http://www.dubberly.com/articles/cybernetics-and-design.html   René Thom - https://en.wikipedia.org/wiki/Ren%C3%A9_Thom   “Corporate Metabolism” (Paco Nathan) - https://www.tripzine.com/listing.php?id=corporate_metabolism   You can find a human-verified transcript of this episode here - https://know.anaconda.com/rs/387-XNW-688/images/ANACON_Paco_Nathan_V1.docx.pdf   If you enjoyed today's show, please leave a 5-star review. For more information, visit Anaconda.com/podcast.

On this episode of Numerically Speaking: The Anaconda Podcast, host Peter Wang welcomes pandas maintainer Jeff Reback, Managing Director at Two Sigma.   Jeff began his career on Wall Street in the 1990's and used Perl for a long time. He developed an interest in Python in the 2000's. He was then quickly drawn to pandas and began to spend his hour-long ferry commutes contributing to its open-source code. His contributions over the years have been significant, to say the least.   When it comes to open source, says Peter, “my flame isn't diminished by lighting your candle.” Cloning a copy of pandas, for example, does not make the original copy any less valuable. In fact, source code actually increases in value as it circulates.   Until recently, only volunteers worked on pandas—but as of 2022, three full-time maintainers are paid to contribute, review code, and triage issues.   Jeff's advice for anybody interested in contributing to open source? Find a community and just help out.   Click https://www.youtube.com/watch?v=7JHqxODJG9k to check out “Two Sigma Presents Pandas at a Crossroads the Past Present and Future with Jeff Reback” on YouTube.   You can find a human-verified transcript of this episode here  - https://know.anaconda.com/rs/387-XNW-688/images/ANACON_Jeff%20Reback_V1.docx.pdf Resources: Peter Wang LinkedIn - https://www.linkedin.com/in/pzwang/ Jeff Reback LinkedIn - https://www.linkedin.com/in/jeff-reback-3a20876/ Two Sigma LinkedIn - https://www.linkedin.com/company/two-sigma-investments/   If you enjoyed today's show, please leave a 5-star review. For more information, visit https://anaconda.com/podcast.

Episode 332 - optaget fredag d. 14. oktober 2022. NBA-podcast hvor Thomas Bilde og Peter Wang kommer med deres forudsigelser om Western Conference i sæsonen 2022-23. Medvirkende: Thomas Bilde, Peter Wang og Kristoffer Vestrup.

End users who are not schooled in hardware can often default to, “just give me something that works.” David Liu, Staff AI Engineer, Strategy & Vision for Data Science and AI Products at Intel, understands this thinking but also believes that end users can be educated on the advantages of configuring their computer hardware to suit their specific needs.   David advocates for using the right hardware for a given task—and that may mean different configurations and/or different machines for different tasks, rather than a one-size-fits-all solution.     David and host Peter Wang also discuss:   - The need for more education and resources around hardware performance - Intel's Optane technology and the possibilities it creates   Resources:   Peter Wang LinkedIn - https://www.linkedin.com/in/pzwang/   David Liu LinkedIn - https://www.linkedin.com/in/david-liu-71004723/   Intel LinkedIn - https://www.linkedin.com/company/intel-corporation/   Click https://www.youtube.com/triskadecaepyon to visit David's YouTube channel.   You can find a human-verified transcript of this episode here -  https://know.anaconda.com/rs/387-XNW-688/images/ANACON_David%20Liu_V1%20%281%29.docx.pdf.   If you enjoyed today's show, please leave a 5-star review. For more information, visit https://www.anaconda.com/podcast.

Ira Jersey, Chief US Interest Rate Strategist for Bloomberg Intelligence, joins to discuss yields and market response to central banks. Peter Wang, CEO at Cenntro joins to discuss the electric vehicle market and his company. Stephen Gallo, Head of European FX Strategy at the Bank of Montreal joins to discuss currency fluctuations. Sam Dunlap, CIO at Angel Oak Capital joins to talk about the potential for a soft landing in the housing market. Bloomberg Intelligence Senior Analyst Matthew Palazola joins to discuss how much damage Hurricane Ian could cause. Hosts are Matt Miller and Paul Sweeney.See omnystudio.com/listener for privacy information.

Machine learning (ML) has reached an exciting phase of development, a phase that Vicki Boykis, Senior ML Engineer at Duo Security* has characterized as the “steam-powered days.” In this episode of Numerically Speaking: The Anaconda Podcast, Vicki talks about the state of the industry and where she sees things heading.   Vicki's discussion with host Peter Wang covers:   The interplay between software engineering and ML, the human element of the development lifecycle (and the lack thereof in social media) and the operationalization and the rise of microservices.   Resources:   Click https://vickiboykis.com to visit Vicki's blog.   Click https://www.amazon.com/Presentation-Self-Everyday-Life/dp/0385094027  to purchase The Presentation of Self in Everyday Life by Erving Goffman, referenced by Vicki.   Click https://www.amazon.com/Broad-Band-Untold-Story-Internet/dp/0735211752  to purchase Broad Band: The Untold Story of the Women Who Made the Internet, also referenced by Vicki.   Click https://jimruttshow.blubrry.net/currents-rob-malda/  to listen to the Jim Rutt/Rob Malda (Slashdot) podcast episode referenced by Peter.   Check out the P2 website https://wordpress.com/p2/   You can find a human-verified transcript of this episode here -  https://know.anaconda.com/rs/387-XNW-688/images/ANACON_Vicki%20Boykis_V2%20%281%29.docx.pdf.    If you enjoyed today's show, please leave a 5-star review. For more information, visit anaconda.com/podcast.   *At the time of the interview, Vicki Boykis was an ML Engineer working on Tumblr at Automattic.  

While today's software may seem magical compared to that of previous generations, it still takes multiple software iterations to fold in new fundamental technologies.   Joining us for this episode is James Cham, Partner at Bloomberg Beta. Bloomberg Beta runs several seed-stage investment funds, with a particular interest in low-code/no-code/WebAssembly startups.   In this episode, James and host Peter Wang discuss:   - why it's important to be humble when looking towards the future of software - why venture capitalists (VCs) shouldn't be considered “Yodas” who can fix every problem   - what James is looking for when it comes to investing in a business   After listening to this episode, you may enjoy reading “Selling Wine Without Bottles - https://www.eff.org/pages/selling-wine-without-bottles-economy-mind-global-net” by John Perry Barlow, referenced by Peter during the discussion, and “Seeing Like a Finite State Machine - https://cyberlaw.stanford.edu/publications/seeing-finite-state-machine” and “Street–Level Algorithms: A Theory at the Gaps Between Policy and Decisions - https://hci.stanford.edu/publications/2019/streetlevelalgorithms/streetlevelalgorithms-chi2019.pdf,” referenced by James.   You can find a human-verified transcript of this episode here - https://know.anaconda.com/rs/387-XNW-688/images/ANACON_James%20Cham_V1.docx.pdf.   Resources: Peter Wang LinkedIn - https://www.linkedin.com/in/pzwang/ James Cham LinkedIn - https://www.linkedin.com/in/jcham/ Bloomberg Beta LinkedIn - https://www.linkedin.com/company/bloombergbeta/about/   If you enjoyed today's show, please leave a 5-star review. For more information, visit https://www.anaconda.com/podcast.

I speak to Peter about our unprecedented information infrastructure and how it has captured the public discourse, and how we relate to others and ourselves. We also speak about Web 3, limbic capitalism, being powerless without common myths, and much more. Peter Wang is CEO and Co-founder of Anaconda, a software developer and former physicist, and an advocate for data literacy and the wider Python-based data science community. Peter's recommended subversive is Creon Levit --- Send in a voice message: https://anchor.fm/aksubversive/message

This episode dives into the strengths and weaknesses of machine learning (ML) and artificial intelligence (AI). Podcast host Jordan Rogers-Smith is joined by Miku Jha, Director of Applied Research and Development and Business Messaging at Meta and the Founder of AgShift, and Peter Wang, the Founder of Anaconda.   The guests start the discussion by giving working definitions of AI and ML and what both can offer organizations at their best but also what their natural limits are. Miku underlines the importance of augmenting these technologies with human experts and Peter warns against the seductive idea that AI and ML are magic pixie dust that can solve any business problem.   Miku and Peter also talk about the change management that has to accompany any successful deployment of AI and ML: team members have to adjust processes to account for success and stakeholders have to be educated on failures to ensure that the downsides of these new technologies don't outweigh their positives.   After you listen, connect with podcast host Jordan Rogers-Smith and guests Miku Jha and Peter Wang on LinkedIn. Visit Anaconda.com to learn about why it's the world's most popular data science platform.   Keep up with the latest from Meta's Business Engineering Team by following us on Medium.  

Peter Wang is a veteran software developer turned co-founder and CEO of Anaconda, which brought the programming language Python to the mainstream for business data analysis. Anaconda's open-source data science solution helps organizations mitigate bias, deploy deep learning models using neural networks, and predict numerous current business challenges, such as customer churn, consumer demand levels, stock prices, maintenance needs and outage probabilities. Anaconda also partners with some of the world's largest tech organizations, including IBM, Red Hat, Snowflake, AWS, and Intel. Peter shares his story on Tech Talks Daily and discusses why bias in data, AI and ML should be an enterprise priority right now. I also learn how Anaconda and the open-source community is responding to the Russian-Ukraine crisis and the importance of mentorship in an ever-changing field like data science.

Despite Python being overwhelmingly popular and positive, there are major areas of computing where Python is not present. Most notably on mobile and on the frontend side of the web. PyScript, a new project launched by Fabio Pliger from Anaconda, just might change that. It was made public and announced at PyCon just two weeks ago by Peter Wang and now has over 10,000 GitHub stars. But what is hype vs. reality vs. projected hopes and dreams? We're going to find out on this episode. Fabio is here to tell us all about his new project. Links from the show Fabio on Twitter: @b_smoke PyScript: pyscript.net Birth and Death of Javascript: destroyallsoftware.com Power On: The Story of Xbox: xbox.com PyScript source: github.com JupyterLite: jupyterlite.readthedocs.io Compiling CPython for WebAssembly: python.org Space WebGL Demo: pyscript.net/examples Antigravity Demo: pyscript.net/examples D3 Demo: pyscript.net/examples Most examples: pyscript.net/examples Michael's pyscript PWA YouTube video: youtube.com Watch this episode on YouTube: youtube.com --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Twitter: @talkpython Follow Michael on Twitter: @mkennedy Sponsors Microsoft Talk Python Training AssemblyAI

Watch the live stream: Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Test & Code Podcast Patreon Supporters Brian #1: pyscript Python in the browser, from Anaconda. repo here Announced at PyConUS “During a keynote speech at PyCon US 2022, Anaconda's CEO Peter Wang unveiled quite a surprising project — PyScript. It is a JavaScript framework that allows users to create Python applications in the browser using a mix of Python and standard HTML. The project's ultimate goal is to allow a much wider audience (for example, front-end developers) to benefit from the power of Python and its various libraries (statistical, ML/DL, etc.).” from a nice article on it, PyScript — unleash the power of Python in your browser PyScript is built on Pyodide, which is a port of CPython based on WebAssembly. Demos are cool. Note included in README: “This is an extremely experimental project, so expect things to break!” Michael #2: Memray from Bloomberg Memray is a memory profiler for Python. It can track memory allocations in Python code native extension modules the Python interpreter itself Works both via CLI and focused app calls Memray can help with the following problems: Analyze allocations in applications to help discover the cause of high memory usage. Find memory leaks. Find hotspots in code which cause a lot of allocations. Notable features:

Twitter and its board on Monday came to a sale agreement with Elon Musk for $44 billion. Cenntro Electric Group shares are short circuiting after CEO Peter Wang began speaking and highlighting supply chain risks. Match Group rose after traders circulated a report that speculated the Tinder owner could be a possible target for Meta Platforms. Catch the WSB article here. Learn more about your ad choices. Visit megaphone.fm/adchoices