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Showing episodes and shows of
Adrien Treuille
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The Gradience
Celebrating the First 20 Episodes of The Gradience Podcast
To celebrate this milestone, we will look back on some of the best moments of our podcast conversations, which feature:Adrien Treuille Co-Founder & CEO of StreamlitEvan Walden Co-Founder & CEO of GetroDerek Lo Founder & CEO of MedallionTammy Han Head of Talent of Emergence CapitalBrent Goldman Engineering Leader and Angel InvestorDan Chen Visiting Fellow of Sequoia CapitalJose Guardado and Brian Bocchino of Build TalentJordan Fisher Founder & CEO of Standard AIGia Scinto Partner of Launch Search PartnersRiley Ennis Co-Founder & Chief Profuct Officer of FreenomeKevin Novak Managing Partner & Founder of Rackhouse Venture CapitalMatt Birnbaum Talent Partner of Pear VCChandan Lodha Co-Founder of...
2022-12-06
38 min
The Data Cloud Podcast
A Deep Dive into Data Science with Adrien Treuille, CEO and Co-founder of Streamlit (Acquired by Snowflake)
In this episode, Adrien Treuille, Co-founder of Streamlit (acquired by Snowflake), shares how business people can use data science and machine learning, how you should incorporate data scientists into your organizations, and so much more.--------How you approach data will define what’s possible for your organization. Data engineers, data scientists, application developers, and a host of other data professionals who depend on the Snowflake Data Cloud continue to thrive thanks to a decade of technology breakthroughs. But that journey is only the beginning.Attend Snowflake Summit 2023 in Las Vegas June 26-29 to...
2022-08-23
26 min
Open Source Startup Podcast
E23: The Fastest Way to Build Data Apps with Open-Source App Framework Streamlit
Adrien Treuille is Co-founder & CEO of Streamlit, the open-source app framework for Machine Learning and Data Science teams to build data apps. The company's underlying open-source project, also named Streamlit, has over 18K stars and a community of 1.4K+ on Discord. Streamlit raised $60M+ from Sequoia, GGV, and Gradient Ventures and since the recording of this podcast was acquired by Snowflake for a reported $800M.
2022-03-28
36 min
The Gradience
Hiring Your Tribe with Adrien Treuille, Co-Founder & CEO of Streamlit
In this episode of The Gradience Podcast, Nigel is joined by Adrien Treuille, Co-Founder & CEO of Streamlit.They cover:👉 The conception of Streamlit👉 Streamlit’s recruitment process 👉 Key considerations in Streamlit’s early hiring process👉 Recruitment of company executives👉 Investor influence and motivation on the Streamlit team👉 Adrien’s hiring experience as CEO👉 Streamlit’s organizational culture and growth 👉 The impact of remote work on hiring and workplace culture👉 Advice to Adrien on day 0 of Streamlit’s existence If you’re a founder or still cooking your business idea, and want tips from accomplished founders on what to do and what not to do in your journey as...
2022-02-22
29 min
Tech Lounge
Building and sharing data with Streamlit
Streamlit turns data scripts into shareable web apps in minutes. All in Python. All for free. No front‑end experience required. I speak with Adrien Treuille and Amanda Kelly to find out more about the company and how it fits into data pipelines.--- Send in a voice message: https://anchor.fm/chinchillasqueaks/message This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit chinchillasqueaks.substack.com For show notes and an interactive transcript, visit chrischinchilla.com/podcast/To re...
2021-05-13
32 min
Ken's Nearest Neighbors
How His Project is Simplifying Data Science (Adrien Treuille) - KNN Ep.35
Today I had the pleasure of speaking with Adrien Treuille. He is co-founder and CEO of Streamlit which is pioneering next-generation tools for machine learning engineers. Adrien has been VP of Simulation Zoox, lead a Google X project, and was a Professor of Computer Science and Robotics at Carnegie Mellon. He gives talks around the world, including to the President's Council of Advisors on Science and Technology, and has won numerous scientific awards, including the MIT Top innovators under 35. Adrien and his work have been featured in the documentaries "What Will the Future Be Like" by PBS/NOVA, and "...
2021-02-17
46 min
Gradient Dissent: Conversations on AI
Adrien Treuille — Building Blazingly Fast Tools That People Love
Adrien shares his journey from making games that advance science (Eterna, Foldit) to creating a Streamlit, an open-source app framework enabling ML/Data practitioners to easily build powerful and interactive apps in a few hours. Adrien is co-founder and CEO of Streamlit, an open-source app framework that helps create beautiful data apps in hours in pure Python. Dr. Treuille has been a Zoox VP, Google X project lead, and Computer Science faculty at Carnegie Mellon. He has won numerous scientific awards, including the MIT TR35. Adrien has been featured in the documentaries What Will the Future Be Like by PBS...
2020-12-04
45 min
Founder Real Talk
Adrien Treuille, Amanda Kelly and Thiago Teixeira, Co-founders of Streamlit, on Empowering the Open Source Community
This is the second episode in our early stage series, a group of episodes that highlights younger companies to examine the issues and challenges these businesses uniquely face. Streamlit is an open source product that has become extremely popular with data science teams growing to over 10,000 GitHub stars since launch in late 2019. Streamlit’s founders, Adrien, Amanda and Thiago, previously worked together at Google X. One thing led to another and now they’re back together empowering data scientists and machine learning engineers to create beautiful, performant apps quickly and easily. Streamlit is gaining traction fast and this conversation is a te...
2020-10-15
41 min
Towards Data Science
51. Adrien Treuille and Tim Conkling - Streamlit Is All You Need
We’ve talked a lot about “full stack” data science on the podcast. To many, going full-stack is one of those long-term goals that we never get to. There are just too many algorithms and data structures and programming languages to know, and not enough time to figure out software engineering best practices around deployment and building app front-ends. Fortunately, a new wave of data science tooling is now making full-stack data science much more accessible by allowing people with no software engineering background to build data apps quickly and easily. And arguably no company has had such e...
2020-09-16
39 min
Orchestrate all the Things
Streamlit wants to revolutionize building machine learning and data science applications, scores $21 million Series A funding. Featuring Streamlit CEO/ Founder Adrien Treuille
Streamlit is an open source framework that wants to revolutionize building machine learning and data science applications, and just secured a $21 million Series A funding to try and do this. Streamlit wants to be for data science what business intelligence tools have been for databases: a quick way to get results, without bothering much with the details. In today's episode, we welcome Streamlit CEO and Founder, Adrien Treuille. We discuss what makes Streamlit special, how it works, and where data-driven applications at large are going next. Article published on ZDNet in...
2020-06-16
42 min
Practical AI
Build custom ML tools with Streamlit
Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads...
2019-11-25
44 min
Changelog Master Feed
Build custom ML tools with Streamlit (Practical AI #66)
Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter.
2019-11-25
00 min
Pizza de Dados
Episódio 027: Passado, Presente e Futuro da Ciência de Dados
No episódio especial de 2 anos chamamos os fundadores do Data Bootcamp Diogo Munaro, Tarsis Azevedo e Renan Oliveira para conversar sobre o passado, o presente e o futuro da ciência de dados! Desde a crescente busca pela área, passando por certificações, ética e muito mais! Um episódio filosófico e cheio de pérolas! Vem comemorar com a gente! Agradecimento especial aos nossos Parceiros Esse episódio não seria possível sem o apoio especial dos nossos parças do Data Bootcamp, o maior bootcamp de Data Science do Brasil! Aprenda a organizar, ex...
2019-11-20
58 min
The Python Podcast.__init__
From Simple Script To Beautiful Web Application With Streamlit
Summary Building well designed and easy to use web applications requires a significant amount of knowledge and experience across a range of domains. This can act as an impediment to engineers who primarily work in so-called back-end technologies such as machine learning and systems administration. In this episode Adrien Treuille describes how the Streamlit framework empowers anyone who is comfortable writing Python scripts to create beautiful applications to share their work and make it accessible to their colleagues and customers. If you have ever struggled with hacking together a simple web application to make a useful script...
2019-11-18
49 min
PopTech Audio: PopCasts
Adrien Treuille: Crowdsourcing science
Can gaming cure disease? By creating games like EteRNA for protein folding and nano-engineering, Adrien Treuille and his colleagues are outsourcing research, each week scoring and then synthesizing top players’ work. By studying players’ strategies, scientists can improve their computer modeling while also creating new ways to fight disease.
2011-10-26
05 min