Podcasts about Data science

Join Hanh Brown, host of Boomer Living Broadcast, as she dives deep into the world of web safety for older adults, AI reliability, and digital advancements with esteemed guest, Dr. Srijan Kumar. This episode will take you through the maze of misinformation, online manipulation, and the challenges and promises that AI holds. From understanding the nuances of network modeling to exploring the latest in multimodal learning, Mrs. Brown and Dr. Kumar shed light on how the digital realm is evolving and what it means for our future. They also discuss the implications of these advancements on mental health, the role of peer correction, and the importance of trustworthiness in AI systems. Whether you're a tech enthusiast or just curious about the digital world, this episode is packed with insights that you won't want to miss.Delve deep into the dynamic world of web safety and AI robustness in our latest coverage:- From spotting misinformation to understanding its impact on mental health.- Unraveling techniques to detect online manipulation, hate speech, and fake reviews.- Ensuring the trustworthiness and reliability of AI systems, while safeguarding them from adversaries.- Explore cutting-edge advancements in network/graph modeling and the intricacies of large-scale network predictions.- Discover the latest in multimodal learning, focusing on robust vision-and-language integrations.- Lastly, glimpse the horizon with our insights into future research directions and the evolving landscape of web safety.Join us as we navigate these crucial realms, paving the way for a safer, more reliable digital future.You can find Srijan on LinkedIn: https://www.linkedin.com/in/srijankr/

In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science. This episode is brought to you by the Zerve data science dev environment (https://zerve.ai), by Gurobi (https://gurobi.com/sds), the Decision Intelligence Leader, and by ODSC (https://odsc.com), the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • About computational mathematics and its relation to data science [03:19] • Margot's current research into emissions simulation [15:05] • Computational Mathematics: Real-World Applications [33:18] • The importance of wind tunnels in testing designs [47:54] • The beauty of linear algebra [1:05:59] • Synesthesia: Seeing Numbers as Colors [1:16:33] • About Women in Data Science [1:24:59] Additional materials: www.superdatascience.com/719

Dr. Mamdani is a professor, pharmacist, and epidemiologist. He is the Vice President of Data Science and Advanced Analytics at Unity Health Toronto and Director of the University of Toronto Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM). Dr. Mamdani's team bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency. Dr. Mamdani is also Professor in the Temerty Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana School of Public Health at the University of Toronto. He is also a Faculty Affiliate of the Vector Institute. He has published over 500 studies in peer-reviewed journals. Host: Raeesa Kabir  Audio Producer: Melanie Bussan Video Editor + Art: Saurin Kantesaria Instagram: saorange314 Social Media: Nikhil Kapur Time Stamps: 0:00 Dr. Mamdani's Background and Career Path 9:30 Where current data driven medicine strategies fall short and how AI can step in 17:00 How Dr. Mamdani's work in AI and machine learning began 22:00 Applied Health Research Center and the Ontario Policy Research Network 28:45 The impact of utilizing machine learning and AI at the level of patient care - Chart Watch 35:50 Logistics of Developing and Implementing AI solutions 39:10 Insights Gained - From Purpose to Implementation 43:30 Directing Multiple Projects - Recruitment of AI Team  47:45 Future Projects: Back to AI Basics  54:15 Future of AI in Medicine - Fostering trust in AI 57:20 Advice to Younger Self --- Support this podcast: https://podcasters.spotify.com/pod/show/maml-podcast/support

Ken Ono is the STEM Advisor and a math professor at the University of Virginia. He has worked with the UVA swim team for a number of years, analyzing the minutiae of stroke technique to optimize performance. This has taken form in an independent study, a course that is cross-listed in Data Science, Math, and Statistics, titled Learning Methods for Elite Swimming Analysis. Jerry Lu, a UVA technical performance consultant who has worked with Ono for years, assists with the analysis of the course. We get the perspective of Ono, Lu, and two of the course's students: world champions and Olympic medalists Kate Douglass and Claire Curzan.

In this episode, Mary Krone explores her career shift from a PhD in chemistry and biochemistry to data science, where she builds financial credit models. She highlights her work's tangible impact and discusses the challenges of work-life balance.Mary's passion for data science's positive potential in finance shines through as she debunks misconceptions, talks about career paths, and dives into the evolving world of data science and generative AI.The episode also includes topics of the need for continuous learning and the blend of art and science in data science. Highlights: Mary's transition from doing theoretical work to work in the real world (00:34)It takes a “village” to be successful (10:06)Managing a team of data scientists and why she describes herself as “leading teams who use data science for good” (21:01)Mary's views and optimism about the data science field (33:25)Women's roles in the future of data science (45:07)Mentions:Connect with Mary Krone on LinkedInBios:Mary Krone believes in using data science for good––to make meaningful and positive impact. Currently, she leads a data science team at Credit Karma, a personal finance company. Previously, Mary held various leadership roles in both technical and management tracks at FICO. Mary holds a PhD in Chemistry & Biochemistry from UC Santa Barbara and a BA in Chemistry and Secondary Education from Vassar College.New co-host and the WiDS Chief of Programs, Chisoo Lyons spent years in consulting services, working with clients including leading banks and financial services organizations worldwide. She held several leadership positions in consulting, research, solution development, and business-line management. She kick-started her career as a data analyst at FICO. Today, at WiDS, she remains dedicated to supporting and empowering women in data science.Learn more from data science leaders like Mary on Data Science Leadership: Creating Meaningful Impact.Connect with UsChisoo Lyons on LinkedInFollow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher

Michael Giuliano is an American entrepreneur and scholar that has independently designed, developed, patented, and commercialized products in excess of $2,000,000,000 USD.He has a mastery level in the areas of Business Intelligence, Predictive Analytics, Artificial Intelligence, Organizational Change, Corporate Alignment, Data Science, Quantitative Analytics, Machine Learning, AntiGravitics, and Neural Networks. An active board member and volunteer at several top rated Engineering and Business Schools.  He currently serves as a paid Chairman of the Board for several of the top echelon leadership organizations including Special Forces, Cyber, Tactical, and Corporations.Michael started his career at tech-giant Intel® as a microchip manufacturing engineer earning distinct Engineering honors spanning some of the highest-profile product launches on record in the digital and mobility spaces (including X-Box®, Apple®, Xeon®,and Pentium4®) and served as Intel's First Lean Content Expert at their Flagship Plant.Clients and collaborators include the global "who's who" of brands including: Intel, Apple, Google, Amazon, Microsoft, Disney, Coca-Cola, Altria, Procter & Gamble, Unilever, Louis Vuitton, McDonald's, Toyota, Honda, Nike, Cisco, SAP, Oracle, Verizon, GE, Budweiser, IBM, Mercedes-Benz, BMW, American Express, L'Oréal, Gucci, Hermès, General Motors, Nestles, Home Depot, Starbucks, Sony, FedEx, UPS, YellowRoadway, AmerisourceBergen, ClevelandClinic, Stryker, Medtronic, and more.Michael is most recognized as the US Patent & Trademark Owner of certifiedlean®, he has led and trained thousands globally in Lean, Product Development, Rapid Prototyping, and Hoshin Kanri spanning nearly every industry, discipline, and profession.  In 2014, he proudly donated his “certified-lean®" mark to Ohio University, which has been formally incorporated into the Industrial and Systems Engineering Undergraduate and Graduate Degrees as well as professional online certifications across the globe.Listen to this episode to hear what it takes to have a disciplined mindset and be able to stay focused and become unstoppable.Follow Michael on Instagram Support the showFollow Jackie Minsky on Instagram Send a message and let Jackie know what you love, what you want more of on the show

This episode features an interview with Jorge Torres, Co-founder and CEO of MindsDB. MindsDB is a virtual AI database that works with existing data to help developers build AI-centered apps. In 2008, Jorge began his work on scaling solutions using machine learning as the first full-time engineer at Couchsurfing, growing the company from a few thousand users to a few million. He has also served a number of data-intensive start-ups and was a visiting scholar at UC Berkeley researching machine learning automation and explainability.In this episode, Sam and Jorge discuss the inspiration and challenges behind MindsDB, classic data science AI versus applied AI, and time series transformers.-------------------“So much data in the world is time series data, so much data. Even data that people don't know is time series, it's time series. So long as it's moving over time, it is time series data. Whether you store it or not, that's a different thing. For having a pre-trained model on time series data, it even enabled the fact that you don't have to store all the historical data. You can just take the model and start passing data as it comes through, and then you get out the forecast. So you don't even have to have the historical data. All you need to have is the data at that given instance, and you can pass it to the model and you get an output. It's mind blowing.” – Jorge Torres-------------------Episode Timestamps:(05:20): The inspiration behind MindsDB(10:20): Classic data science AI approach vs. applied AI(22:09): What open source data means to Jorge(28:51): What excites Jorge about Nixtla and time series transformers(37:07): A question Jorge wishes to be asked(40:20): Jorge's advice for the audience(41:38): Backstage takeaways with executive producer, Audra Montenegro-------------------Links:LinkedIn - Connect with JorgeLearn more about MindsDB open source codeLearn more about MindsDB

In this week's episode Patrick and Greg plumb the depths of what is a dissertation and what purpose does it serve. They are aided in the use of an AI language interpreter to translate old man grousing to positive and supportive advice for students as they discuss the strengths and weaknesses of a dissertation project. Along the way they also mention: pumpkin spice, marching bands, Maximus Decimus Meridius, Hiccup, being like too American, OMG, anger interpreters, patience and self-restraint, the pantsless Lindy, it's just something people do, flight instructors, bloody marys in Row 14, dead birds, kilometerage, sleek sports cars, three-masted ships, downright silly questions, We Are The World, three questions, devolution, and subconning. Stay in contact with Quantitude! Twitter: @quantitudepod Web page: quantitudepod.org Merch: redbubble.com

Welcome to Count Me In with Della and Deanna. Today we feature an energizing and vibrant conversation with Dr. Kobi Abayomi, Head of Science at Gumbel Demand Acceleration.Kobi grew up in NYC, in a 6th-floor walkup in Manhattan. He earned his undergraduate degree at Georgia Tech and his PhD in Probability and Statistics from Columbia University. He held postdoctoral positions at Duke and Stanford Universities and academic positions at various institutions including Georgia Tech and Binghamton University before he segued to industry where he has worked at Dunn & Bradstreet, Barnes & Noble Education, Warner Media Group, and, most recently as, Senior VP of Data Science at Warner Music Group. In March of 2023, he launched his own company, Gumbel Demand Acceleration, a Software as a Service company, along with two music labels: Betaside Records and Short Hills Music. In this conversation, you will hear how Kobi evaluates a Toyota Corolla as a beautiful human enterprise rather than a vehicle that moves us from one point to another. You will also learn about the evolving role of music in his life and in society as a whole, the role of his mother in cultivating his interest in mathematics, the surprising way lighting can help us see people differently, and tips for bringing people together. Drawing from his work experience, Kobi also talks about how to contribute to and lead a group of data scientists. Kobi's joy for mathematics and people is everywhere evident in this podcast. It will put a spring in your step and give a boost to your spirit. So, please join us as we talk with Kobi.

Durga Mulladi is the SVP & GM for Technology Planning & Edge Solutions at Qualcomm Technologies, Inc., the iconic company best known for enabling cell phones via its CDMA technology and chipsets that were first demonstrated in 1985. Durga has been an integral part of Qualcomm's growth having spent nearly 26 years there in various technology leadership roles.He holds 578 patents, is a senior member of IEEE, received his PhD in '98 from UCLA, and was awarded Qualcomm's IP excellence award. Durga's list of accolades and accomplishments goes on for days. We're all fortunate to learn from a wireless pioneer and true tech legend.Listen and learn...Durga's insights from more than 25 years pioneering wireless technologyAn insider's view of Qualcomm's formula for successHow networks and chips enabled the birth of the smartphoneQualcomm's AI roadmapHow soon we can expect LLMs running locally on phonesHow AI takes advantage of the unique capabilities of 5G networksHow to figure out what transactions happen on the device vs. in the cloudHow LLM fine-tuning may soon happen on the edge of the network or on the deviceWhat size LLMs can be run locally while managing power consumptionHow to improve consumer trust in LLMsReferences in this episode...JP Vasseur from Cisco on AI and the Future of WorkRene Steenvorden from Randstad on AI and the Future of WorkHow OpenAI's code interpreter is disrupting the field of Data Science

Guest: Marc Steen, Senior Research Scientist at TNO [@TNO_nieuws]On LinkedIn | https://www.linkedin.com/in/marcsteen/On Twitter | https://twitter.com/marcsteenOn Mastodon | https://mastodon.social/@marcsteenWebsite | https://marcsteen.nl/index.html____________________________Host: Marco Ciappelli, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining Society PodcastOn ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/marco-ciappelli_____________________________This Episode's SponsorsBlackCloak

Blind Barrels has Disrupted the Whiskey World by bringing Craft Whiskeys to your Door. The blind tasting settup is second to none in the industry. Bobby sitdown is fast past and fun conversation. Pour a dram and enjoy! Find out more at www.blindbarrels.com Follow us at  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠FuelGolf.TV If you enjoyed this podcast, about whiskey and golf.....please follow ⁠⁠⁠⁠⁠⁠⁠@Speakeasy_Mixing_Passions⁠⁠⁠⁠⁠⁠⁠ on⁠⁠⁠ Instagram⁠⁠⁠ and your favorite podcast provider, ⁠⁠⁠Spotify⁠⁠⁠ has the video version Please leave us a 5 star ranking for the team , this will help us find more listeners and expand our capabilities. also join us at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠videos.mygameforge.com⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠ Also Going ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MyGameForge⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠for the best Data Science in the business of Golf!!!!

Mergulhamos no emocionante mundo da análise de dados na maior cervejaria do Brasil. Prepare-se para uma jornada fascinante, onde a paixão pela cerveja encontra a ciência dos dados. Em um papo, muito divertido, exploramos como a análise de dados desempenha um papel crucial desde o plantio, até a distribuição e qualidade consistente dos produtos icônicos da Ambev. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam esse time de especialistas da Ambev Tech — núcleo de tecnologia da Ambev : o Daniel Cassiano  — Diretor de Data & Analytics na América do Sul; a Gabriela Madia  — Gerente de Governança de Dados & Analytics; o Daniel Henrique - Gerente de Engenharia de Plataforma de Dados, e o Felipe Contratres — Líder do Centro de Excelência de Analytics. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Link do Medium: Falamos no episódio Conheça nosso convidado: Daniel Cassiano — Diretor de Data & Analytics para América do Sul Gabriela Madia — Gerente de Governança de Dados & Analytics Daniel Henrique — Gerente de Engenharia de Plataforma de Dados Felipe Contratres — Líder do Centro de Excelência de Analytics Bancada Data Hackers: Paulo Vasconcellos Monique Femme Gabriel Lages Links de referências: Projeto que monitora o lado da rua que o caminhão estaciona, (post explicativo): https://www.instagram.com/reel/CxatwlqrGuV/?igshid=MzRlODBiNWFlZA== Projeto Diesel Analytics ( Projeto no Meetup Tech & Cheers em São Paulo): https://www.instagram.com/reel/CuHfmL8rQGI/?igshid=MzRlODBiNWFlZA== Link de Vagas (Ambev Tech) — https://ambevtech.gupy.io/ Ambev Tech (@ambevtech) — Fotos e vídeos do Instagram  — https://www.instagram.com/ambevtech/ Linkedin: https://www.linkedin.com/company/ambevtech/ Ambev Tech Talk (Podcast com episódio mensal sobre Dados — Papo de Dados) : https://open.spotify.com/show/07cPNODgBHWh2JMkHbZxXG?si=2432135d6daa4a18 --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

Brandon Smith is a forward-thinking technology leader currently serving as the Chief Product Officer at ArtHeart.ai, a trailblazing company in the world of artificial intelligence. His career has been defined by a keen ability to spot and harness emerging technologies well before they reach mainstream recognition. He made the Bucket List jump in 2017 starting his own consulting business then moving to his own startup in 2020. Since then, his career has been a roller coaster of highs and lows, exiting his first major startup after 18 months with an 8 figure sale. Brandon believes that whether a venture was a colossal flop or an unexpected success, each experience requires you to double your resilience and self-belief while surrounding yourself with a competent and supportive team. Previously, Brandon was a Director with PwC and served as a strategic consultant for many Fortune 100 companies. Armed with a background in Data Science and business analytics, he crafted innovative solutions that addressed critical challenges faced by large enterprises. He also was a former member of the prestigious General Electric Executive Leadership program, where he lent his expertise to a wide array of industries, spanning from light bulbs to oil rigs. Throughout his career, Brandon has consistently sought opportunities with the potential to ignite transformative organizational change, driven by his passion for technology and innovation.

Sign up to the free TellyCast newsletterUnless you've been living under a rock these last few months you'll know that Artificial Intelligence is set to revolutionise the way we live and work.And rather than focusing on the negative assumptions that this technology is going to take all our jobs and destroy the world in some dystopian future, I thought we'd look at the practical applications of Artificial Intelligence right now in the content industry. So what are the tools that can change the way you work, improve efficiency, create new ideas, help you sell your shows and save you money right now?Our guests this week are Jason Mitchell, Founder of The Connected Set, Ben Ritchie, Chief Technology Officer for Slate IQ and Dr Sepi Chakaveh, Departmental Lecturer in Data Science at Oxford University and Founder of Pixsellar.Jason's Top 10 AI tools;10. ChatGPT: chat.openai.com9. Gamma: gamma.app8. Imagine AI: www.imagine.art7. Runway - Generation 2: runwayml.com6. Pictory - pictory.ai5. Kapwing: Kapwing.com4. Google's Duet AI for Workspace3. AutoPod: autopod.fm2. Tom's Planner AI pilot: tomsplanner.com/ai-assist/1. Play HT: play.htJason's webinar- LinkedIn Live Event on Monday 25th October at 1pm BSTSlate IQ Pixsellar Buy tickets for the TellyCast Digital Content Forum sponsored by BBC StudiosSupport the showTellyCast websiteTellyCast instaTellyCast TwitterTellyCast YouTube

Data runs the world — and MANY of the solutions KBR delivers for its clients, including the work our experts do to advance defense and national security interests. We're thrilled to feature one of those experts on the latest episode of the podcast. Kim Cates, senior data scientist with KBR's Defense Systems Engineering business, spoke with us about her journey in data science, how her cutting-edge work is helping solve customer problems, and how KBR's culture enables her to take charge of her career.

Find out more about Virginiadistilling Co at: ⁠https://vadistillery.com/⁠ Instagram Follows : @thejenniferwren @vadistillery Follow us at  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Fuel Performance Network⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. If you enjoyed this podcast, about whiskey and golf.....please follow ⁠⁠⁠⁠⁠⁠⁠@Speakeasy_Mixing_Passions⁠⁠⁠⁠⁠⁠⁠ on⁠⁠⁠ Instagram⁠⁠⁠ and your favorite podcast provider, ⁠⁠⁠Spotify⁠⁠⁠ has the video version Please leave us a 5 star ranking for the team , this will help us find more listeners and expand our capabilities. also join us at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠videos.mygameforge.com⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠ Also Going ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MyGameForge⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠for the best Data Science in the business of Golf!!!!

Join us as we chat with our founder Dr. John Elder. In his decades of experience, he's witnessed the ebb and flow of numerous data analytics projects. And along the way he's discovered keys to achieving success.Key Takeaways

Data Science and UX should be the best of friends! While at the Copenhagen Developer Festival, Carl and Richard talked to Grishma Jena about her work in data science at IBM - and working closely with the UX teams to understand how customers use software and the opportunities to improve it. Grishma talks about the quantitative side of analytics regarding application telemetry, including the ability to predict when a customer is about to abandon an application. The conversation also digs into using modern machine learning to analyze quantitative data, such as comments in surveys - could you sort that kind of data by sentiment or actionability? Improve your UX with data!

A number of organizations in the United States focus on statistics education, and now you can add the U.S. Congress to the list. A bill introduced in the house earlier this year seeks to help support and improve stats education for both Pre-K through 12, as well as higher education. It is also the focus of this episode of stats and stories with guests Donna LaLonde and Steve Pierson. Donna LaLonde is the Associate Executive Director of the American Statistical Association (ASA) where she works with talented colleagues to advance the vision and mission of the ASA. Prior to joining the ASA in 2015, she was a faculty member at Washburn University where she enjoyed teaching and learning with colleagues and students; she also served in various administrative positions including interim chair of the Education Department and Associate Vice President for Academic Affairs. At the ASA, she supports activities associated with presidential initiatives, accreditation, education, and professional development. She also is a cohost of the Practical Significance podcast which we appeared on in May. Steve Pierson is the Director of Science Policy for the American Statistics Association. In his role, he works to raise the profile of statistics (the scientific discipline), government statistics, and statisticians nationally. He also advocates on behalf of ASA members and for more engagement of statistics/statisticians and the need to invest in our data infrastructure, as it powers the economy and improves our health and wellbeing.

Join us for an inspiring conversation with Elizabeth Adamson, Associate Director of Population Health at the Novartis Foundation, and Dr. Jose Pagan, Chair and Professor of the Department of Public Health Policy and Management at NYU GPH. In this episode, we delve into this unique partnership between NYU GPH and the Novartis Foundation, and the transformative potential of artificial intelligence and data science in improving the health of populations in New York City. Our conversation also highlights the remarkable influence of partnerships between academic institutions, public entities, and private organizations in driving groundbreaking research that brings tangible benefits to our global communities. To learn more about the NYU School of Global Public Health, and how our innovative programs are training the next generation of public health leaders, visit http://www.publichealth.nyu.edu. Learn more about the Novartis Foundation: https://www.novartisfoundation.org

Today I had the pleasure of interviewing Jon Krohn. Jon is the host of the Super Data Science podcast, a cofounder of Nebula, and force in the data science space. In this episode we learn how Jon became the biggest podcaster in data science, the difference between type 1 and type 2 fun, and about how Jon has been able to find passion and meaning in creating free educational resources. Podcast Sponsors, Affiliates, and Partners:- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)- Taro - http://jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job - 365 Data Science (57% discount) - https://365datascience.pxf.io/P0jbBY | Learn data science today- Interview Query (10% discount) - https://www.interviewquery.com/?ref=kenjee |  Interview prep questionsJon's Links:YouTube - https://www.youtube.com/@JonKrohnLearnsSDS Podcast YouTube -  @SuperDataScienceWithJonKrohn  Personal Website - https://www.jonkrohn.comPodcast - https://www.superdatascience.com/podcastNebula AI - https://nebula-ai.com

Topics covered in this episode: OverflowAI Switching to Hatch Alpha release of the Ruff formatter What is wrong with TOML? Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Python Testing with pytest, full course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: OverflowAI Integration of generative AI into our public platform, Stack Overflow for Teams, and brand new product areas, like an IDE integration. Have a conversation about the search results and proposed answer with GenAI Coming with IDE integration too. Check out the video on their page for some more detail than the article. Brian #2: Switching to Hatch Oliver Andrich Hatch has some interesting features Template built from hatch new myproject includes isolating dev, test, lint virtual environments. Each env can have scripts Test matrix ala tox, but possibly easier to express complex matrices. May not even need tox then, but then now you have hatch. A way to specify which optional dependencies needed for default environment. Notes from Brian One premise is that lots of projects are now using hatch. I don't know if that's true. A quick spot check of a few projects include projects that use hatchling. While hatchling is the back end to hatch, they are not the same. I use hatchling a lot now, but haven't picked up using hatch. But I do want to try it more after reading this article. Michael #3: Alpha release of the Ruff formatter vis Sky Kasko Charlie Marsh announced that an alpha version of a Ruff formatter has been released in Ruff v0.0.289. The formatter is designed to be a drop-in replacement for Black, but with an excessive focus on performance and direct integration with Ruff. Sky says: I can't find any benchmarks that have been released yet, but I did some extremely unscientific testing and found the Ruff formatter to be around 5 to 10 times faster than Black when running on already-formatted code or in a small codebase, and 75 times faster when running on a large codebase of unformatted code. (The second outcome probably isn't very important since most people would not often be formatting thousands of lines of completely unformatted code.) For more info, see the README: https://github.com/astral-sh/ruff/blob/main/crates/ruff_python_formatter/README.md Brian #4: What is wrong with TOML? Colm O'Connor Suggested by Will McGugan This is a comparison of TOML vs StrictYAML under the use case of “readable story tests”. TLDR; For smallish things like pyproject.toml, toml is fine. For huge files, something like StrictYAML may be less horrible. from Brian: Short answer: Nothing, unless you're doing crazy things with it. Re “readable story tests”: WTF? Neither of these are something I'd like to maintain. Extras Brian: Python Testing with pytest, the course New intro video to explain what the course is about Using Teachable video like notes, mini-viewer, and speed controls Chapter on “Testing Strategy” is next Michael: HTMX + Django: Modern Python Web Apps, Hold the JavaScript Course Coding in Rust? Here's a New IDE by JetBrains Delightful Machine Learning Apps with Gradio out on Talk Python Joke: The 5 stages of debugging

So, you've got this amazing machine learning model you created. And you want to share it and let your colleagues and users experiment with it on the web. How do you get started? Learning Flask or Django? Great frameworks, but you might consider Gradio which is a rapid development UI framework for ML models. On this episode, we have Freddy Boulton, to introduce us all to Gradio. Links from the show Freddy on Twitter: @freddy_alfonso_ Gradio: gradio.app Use as API Example: huggingface.co Components: gradio.app Svelte: svelte.dev Flutter UI/Code structure: docs.flutter.dev XKCD Matplotlib Theme: matplotlib.org Gradio XKCD Full Theme: huggingface.co PrivateGPT: ai.meta.com Langchain: docs.langchain.com pipdeptree: pypi.org 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 Sponsors PyCharm Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

In this week's episode, Greg and Patrick talk about the terrifying, the feared, the dreaded … Multicollinearity. Blamed for a multitude of general linear model problems, they dare to ask the question: “But should it be?” Along the way they also mention: having your stump ground out, fall guys, Keyser Soze, croissants and breadsticks, baguettes in space space space, mostly dead, the Cliffs of Moher, enablers, dangling on a wing and a prayer, nanotech R-squareds, opening a suitcase, reinventing factor analysis, and whiny a** babies.Stay in contact with Quantitude! Twitter: @quantitudepod Web page: quantitudepod.org Merch: redbubble.com

Lindsay Turner - Director of Data Science & Firm Analytics Delivery @ Edward Jones, talks about her journey of integrating analytics into day-to-day business operations and more.Connect with us on social media:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA

Joining us this week is Dr. David Bader, a Distinguished Professor and founder of the Department of Data Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology. He deep dives into the opportunity to democratize data science tools and the awesome free tool he and Mike Merrill spent the last several years building that can be found on the Bears-R-Us GitHub page open to the public. We also discuss the vulnerabilities in open-source supply chain, what about AI security teams should be concerned about, data poisoning, AI that is fair and equitable and the discussion on regulation and self-regulation in AI. Key takeaway from the conversation -- data science is indeed growing and it holds an exciting future for those that pursue it! David A. Bader is a Distinguished Professor and founder of the Department of Data Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology. Prior to this, he served as founding Professor and Chair of the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology. He is a Fellow of the IEEE, ACM, AAAS, and SIAM; a recipient of the IEEE Sidney Fernbach Award; and the 2022 Innovation Hall of Fame inductee of the University of Maryland's A. James School of Engineering. For links and resources discussed in this episode, please visit our show notes at https://www.forcepoint.com/govpodcast/e251

In this episode, Saad Zaheer, VP of Data Science and Engineering at Endeavor, shares with us how we're living in the decade of data and how he's seen that play out in industries across the board, how the Snowflake ecosystem makes it easier for Endeavor to do their work, and why societies can never invest enough in education.---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.Catch up on the latest announcements from Snowflake Summit, including advancements with generative AI and LLMs, flexible programmability, application development, and much more.Watch now here. 

In this insightful episode, we welcome Jaco Raath, a leading research nutritionist at Swine Nutrition Management in South Africa. Jaco delves deep into recent IMPROVAC trial results that revealed a significant gain in carcass weight for intact males, particularly highlighting the role of increased feed intake in the trial's final weeks. Alongside Jaco, we also feature Liana from Agritistics, emphasizing the ever-increasing importance of data analytics in swine nutrition management in episode 90. Both experts agree that data analytics can play a pivotal role in customizing nutritional strategies for each farm's unique setup, even down to the gilt-rearing stage. Jaco also gives us an update on their By-Product blend, acknowledging some challenges with mycotoxin levels but generally positive trends. He discusses the changing landscapes of winter and summer feeding programs, emphasizing the reduced need for seasonal shifts due to closely aligned nutrient specifications. Wrapping up, Jaco sheds light on the imminent challenges and opportunities in the South African and broader African swine industries, particularly noting the rising input costs and raw material quality. With their combined expertise, Jaco and Liana offer listeners valuable strategies to optimize swine nutrition and production efficiency.

Manda Frederick, Program Communication Manager at Women Who Code, sits down with women from the Fourth Annual Cohort of the Women Who Code Leadership Fellow Program. This program supports the development of six outstanding technologists through hands-on mentorship and training. The tracks are Mobile, Frontend, Cloud, Data Science, Python, and Blockchain, known as Emerging Tech, moving forward. She talks with Luz Aracely De Leon, Front End Specialist at Accenture and WWCode Front End Leadership Fellow, Mansi Aggarwal, Student, Data Scientist, and WWCode Data Science Leadership Fellow, and Rashmi Muralidharan, Software Engineer at VMware and WWCode Cloud Leadership Fellow.

In today's episode, our host Rebecca Rains finds herself on the other side of the microphone as hosts  Zach & Charley of The Building Code podcast, interview her! Through their conversation, they find that Rebecca is an entrepreneur and philanthropist with a mission to make home building easier and more accessible for everyone. They chat about Rebecca's story - from starting her own real estate business to launching an affordable housing company - discuss the current housing crisis, and take a look at Rebecca's hopes for the future. With stories, perspectives, and advice from Rebecca, Zach, and Charley, you'll get insight into the opportunities available in our current housing market, plus the best advice for people looking to make a difference. If you want to learn more about Rebecca's affordable housing company (Kismet Homes) follow this link: https://www.kismethomesusa.com/ If you want to learn more about Zach & Charley, follow this link to our episode where we interview them! https://www.gratefulheart.tv/2023/09/08/episode-146-mastering-construction-technology-with-zach-charley-from-buildertrend/ For the original posting of this episode on The Building Code podcast click here: https://buildertrend.com/podcast/the-building-code/186-rebecca-hidalgo-rains/?utm_source=rebecca_hidalgo_rains&utm_medium=referral&utm_campaign=pod_186 Listen & Learn: 1:28 - Zach & Charley intro Rebecca Rains 2:26 - Rebecca shares a little about her story 4:50 - Rebecca explains what MGO SIPs panels are 9:00 - When did Rebecca start being interested in building homes instead of selling homes 11:45 - Rebecca's key to success 13:20 - Rebecca's thoughts on the market and interest rates 16:10 - Headlines do more to terrify than clarify 17:40 - Charley talks about his recent home-buying experience 20:40 - Rebecca's advice for home builders to capitalize on the shifting market 24:45 - We don't have enough inventory for the number of buyers in the market 26:30 - Rebecca's affordable housing company Kismet Homes 28:50 - Rebecca's advice for those looking to help with the housing crisis 31:55 - Charley & Zach's final thoughts Today's Hosts: Zach Wojtowicz - Director of Customer Success: Zach joined Buildertrend in 2018 as a Customer Success Manager where he worked with countless Buildertrend customers to implement the Buildertrend software. He eventually moved to Onsite Consulting and traveled across North America to help customers expedite their usage of Buildertrend and improve their operations. Currently, he is a Director of Customer Success. He is an expert on Customer Success, Buildertrend, and helping construction professionals grow their businesses. Zach also serves as co-host of The Building Code, Buildertrend's flagship podcast. Charley Burtwistle - Director of Business Performance: Charley Burtwistle started his career leading and building out the Data Science team at Buildertrend, a B2B SaaS company in the Construction vertical for Project Management and Estimating. Since then he has moved into a "Director of Business Performance" role where he oversees high-level company performance. He lives in Omaha with his wife, Audrey, and golden retriever, Tebow. Website: https://buildertrend.com/ Podcast: https://buildertrend.com/podcast-category/the-building-code/ Phone: 1-888-415-7139 Email: zach.wojtowicz@buildertrend.com & charley.burtwistle@buildertrend.com Follow us on Facebook or Instagram @GratefulHeart.Tv

Talk about upcoming additions and enhancements. Plus information about Speakeasy golf weekend. Follow us at  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Fuel Performance Network⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. If you enjoyed this podcast, about whiskey and golf.....please follow ⁠⁠⁠⁠⁠⁠⁠@Speakeasy_Mixing_Passions⁠⁠⁠⁠⁠⁠⁠ on⁠⁠⁠ Instagram⁠⁠⁠ and your favorite podcast provider, ⁠⁠⁠Spotify⁠⁠⁠ has the video version Please leave us a 5 star ranking for the team , this will help us find more listeners and expand our capabilities. also join us at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠videos.mygameforge.com⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠ Also Going ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MyGameForge⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠for the best Data Science in the business of Golf!!!! . 

In this episode, I am interviewing Bill Schmarzo, the brilliant author behind 'AI & Data Literacy: Empowering Citizens of Data Science.' Join us as we delve into the fascinating world of data, AI, and the power of becoming a 'Citizen of Data Science.' Bill unlocks the secrets to navigating data privacy, ethics, and the inner workings of AI, all while empowering individuals and organizations to make informed, impactful decisions. Whether you're a data enthusiast, a tech leader, or simply curious about the future of AI, this conversation is your gateway to understanding, leveraging, and thriving in the data-driven landscape. 

This taasting goes sideways for many reasons and never gets back on track. The couple splits on review and have to break out another option. Enjoy, well more than Anita. Follow us at  ⁠⁠⁠⁠⁠⁠⁠⁠Fuel Performance Network⁠⁠⁠⁠⁠⁠⁠⁠. If you enjoyed this podcast, about whiskey and golf.....please follow ⁠⁠⁠⁠⁠@Speakeasy_Mixing_Passions⁠⁠⁠⁠⁠ on⁠⁠⁠ Instagram⁠⁠⁠ and your favorite podcast provider, ⁠⁠⁠Spotify⁠⁠⁠ has the video version Please leave us a 5 star ranking for the team , this will help us find more listeners and expand our capabilities. also join us at ⁠⁠⁠⁠⁠⁠⁠⁠videos.mygameforge.com⁠⁠⁠⁠⁠ ⁠⁠⁠ Also Going ⁠⁠⁠⁠⁠⁠⁠⁠MyGameForge⁠⁠⁠ ⁠⁠⁠⁠⁠for the best Data Science in the business of Golf!!!!

Today I had the pleasure of interviewing my good friend  @AlexTheAnalyst . Alex just passed the 500k subscriber threshold on YouTube producing incredible content around the data analytics domain. He also creates some amazing eye opening content on linkedin. In this episode we dive into Alex's choice to leave his analytics manager job, his new platform analystbuilder, and his perspective on the new AI technologies coming out! Podcast Sponsors, Affiliates, and Partners:- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)- Taro - http://jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job - 365 Data Science (57% discount) - https://365datascience.pxf.io/P0jbBY | Learn data science today- Interview Query (10% discount) - https://www.interviewquery.com/?ref=kenjee |  Interview prep questionsAlex's Links: YouTube - https://www.youtube.com/@AlexTheAnalystLinkedIn - https://www.linkedin.com/in/alex-freberg/Website - https://www.alextheanalyst.com/Analyst Builder - https://www.analystbuilder.com/

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Dinakar Deshmukh: what does it mean for a solution to be scalable how have we lacked in this area as an industry  why it's important to make solutions that last the future of data science products and scalability

Join us for an insightful episode of Data Bytes as we explore "The Future of Data Science" with Dr. Jodie Burchell, Developer Advocate in Data Science at JetBrains and former Lead Data Scientist at Verve Group Europe. With a diverse background in clinical psychology, biostatistics, and extensive data science experience, Dr. Burchell provides valuable insights. We delve into two key topics: Data Science Evolution: Discover how the role of data science has transformed over the last decade and what lies ahead with AI advancements. Bias-Free Hiring: Learn how to address bias in hiring practices from Dr. Burchell's perspective as a hiring manager and create a more inclusive recruitment process. Additionally, Dr. Burchell shares her unconventional career journey and offers advice for aspiring data scientists. In a rapid-fire round, we get to know her personal interests and goals. Tune in for a candid, unscripted conversation. Connect with Dr. Burchell on LinkedIn and Twitter, and stay updated on Data Bytes for more captivating discussions. Stay curious and creative! Connect with Dr. Jodie Burchell: Twitter: https://twitter.com/t_redactyl Mastodon: @t_redactyl@fosstodon.org Blog: https://t-redactyl.io/ GitHub: https://github.com/t-redactyl JetBrains: https://www.jetbrains.com/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

We take questions from our listeners! Follow us at  ⁠⁠⁠⁠⁠⁠⁠⁠⁠Fuel Performance Network⁠⁠⁠⁠⁠⁠⁠⁠⁠. If you enjoyed this podcast, about whiskey and golf.....please follow ⁠⁠⁠⁠⁠⁠@Speakeasy_Mixing_Passions⁠⁠⁠⁠⁠⁠ on⁠⁠⁠ Instagram⁠⁠⁠ and your favorite podcast provider, ⁠⁠⁠Spotify⁠⁠⁠ has the video version Please leave us a 5 star ranking for the team , this will help us find more listeners and expand our capabilities. also join us at ⁠⁠⁠⁠⁠⁠⁠⁠⁠videos.mygameforge.com⁠⁠⁠⁠⁠⁠ ⁠⁠⁠ Also Going ⁠⁠⁠⁠⁠⁠⁠⁠⁠MyGameForge⁠⁠⁠ ⁠⁠⁠⁠⁠⁠for the best Data Science in the business of Golf!!!! .

On the Loss and Preservation of Knowledge, Unix Recovery Legend, Useful Unix commands for data science, Tarsnap outage post-mortem, OpenBSD 7.3 on a twenty year old IBM ThinkPad R31, and more NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines On the Loss and Preservation of Knowledge (https://samoburja.com/on-the-loss-and-preservation-of-knowledge/) Unix Recovery Legend (https://www.ecb.torontomu.ca/~elf/hack/recovery.html) News Roundup Useful Unix commands for data science (https://gregreda.com/2013/07/15/unix-commands-for-data-science/) Why we like Tarsnap = Transparency : Tarsnap outage post-mortem (https://mail.tarsnap.com/tarsnap-announce/msg00050.html) OpenBSD 7.3 on a twenty year old IBM ThinkPad R31 (https://box.matto.nl/openbsd-73-on-a-twenty-year-old-ibm-thinkpad-r31.html) Beastie Bits Quick and dirty IMAP(-UW) server (https://forums.freebsd.org/threads/quick-and-dirty-imap-uw-server.89877/) JENNY'S DAILY DRIVERS: FREEBSD 13.2 (https://hackaday.com/2023/08/01/jennys-daily-drivers-freebsd-13-2/) Elvish (https://elv.sh/) xroach (https://infosec.exchange/@paco/110772422266480371) Did hell freeze over? (https://soc.feditime.com/notice/AXo6xXlSrfdfjNPdRI) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Nelson - Bell Labs Memoranda (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/523/feedback/Nelson%20-%20Bell%20Labs%20Memoranda.md) patrick - audio switching (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/523/feedback/patrick%20-%20audio%20switching.md) tim - appjail (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/523/feedback/tim%20-%20appjail.md) Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) ***

Host: HutchOn ITSPmagazine  

On this week's episode, WHOOP VP of Performance Science, Principal Scientist, Kristen Holmes is joined by SVP of Data Science & Research Emily Capodilupo to talk about all things Heart Rate Variability. HRV is one of the key signs of fitness and how well your body is ready to perform on any given day. Kristen and Emily will discuss what HRV is (2:15), how WHOOP measures HRV (5:15), adaptive behaviors to help HRV rebound (11:45), how HRV is a personalized metric (17:40), menstruation and pregnancy impacting HRV (21:12), HRV and sleep (27:30), the WHOOP Core4 Challenge (33:47), and listener questions on HRV (49:15).Support the show

In this week's episode, the first of Season 5, Patrick and Greg explore the very cool world of receiver operating characteristic, or ROC, curves: what they are, how they work, and why we can give partial thanks to Winston Churchill for their existence. Along the way they also mention: advent calendars, lasagna for 8, Honey Nut Cheerios, radio detection and ranging, flock of seagulls, broken pun promises, Dwayne Johnson, the whale petting machine, Embassy Suites, poison ivy and kudzu, sexy Hulk, smoldering intensity, Spitfires and F-14s, drunken punches, and Where's Waldo.Stay in contact with Quantitude! Twitter: @quantitudepod Web page: quantitudepod.org Merch: redbubble.com

Mike Schneider is the CEO & Co-founder of Acre Homes. Acre combines the ease of renting with the financial upside of owning. Acre is available in Raleigh-Durham, and will be launching in Atlanta and Nashville soon. Previously, Mike served as the VP of Technology Strategy at RE/MAX, and Co-founded First, a real estate tech company that leveraged machine learning to help agents win more business.(2:12) - Acre: Breaking the Renting or Home Mortgage paradigm(7:13) - Acre's model during variable interest rate environment(8:59) - Opportunity residents & investors(10:19) - Market growth(10:54) - Taking the Tesla approach: 10x better than mortgage(12:48) - Buying a home with a partner(15:28) - Acre Homes price point(16:47) - Feature: Blueprint (17:52) - Rent-to-own, buy before you sell, Home Equity products.(21:41) - Challenges of mortgages & bias in home appraisals(25:07) - Generating returns in Single family homes(25:42) - North Carolina ecosystem: Raleigh-Durham Research Triangle(29:51) - US cities transport options(33:26) - Collaboration Superpower: Steve Jobs(38:57) - Discomfort Zone: Is Built-to-rent overrated?

Topics covered in this episode: Heliclockter - Like datetime, but more timezone-aware Wagtail 5 Git log customization MiniJinja template engine Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Python People Podcast Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: Heliclockter - Like datetime, but more timezone-aware Suggested by Peter Nilsson The library exposes 3 classes: datetime_tz, a datetime ensured to be timezone-aware. datetime_local, a datetime ensured to be timezone-aware in the local timezone. datetime_utc, a datetime ensured to be timezone-aware in the UTC+0 timezone. Michael #2: Wagtail 5 Wagtail is the leading open-source Python CMS, based on Django. Anything you can do in Python or Django, you can do in Wagtail. Wagtail 5.0 provides even more options for your content creation experience Dark mode has arrived SVG support Enhanced accessibility checker Delete more safely Some breaking changes in it because this release removes some of the old code paths that were maintained to give people more time to adapt their code to the new upgrades Add custom validation logic to your Wagtail projects. You can now attach errors to specific child blocks in StreamField. Brian #3: Git log customization Justin Joyce Just a simple git log --oneline makes the log so much more readable, but don't stop there. --graph helps to show different branches -10 shows the last 10 commits. And this beauty in .gitconfig makes git lg mostly do what you want most of the time: [alias] lg = log --graph -10 --format='%C(yellow)%h%Creset %s %Cgreen(%cr) %C(bold blue)[HTML_REMOVED]%Creset' Michael #4: MiniJinja template engine MiniJinja is a powerful but minimal dependency template engine for Rust compatible with Jinja/Jinja2 Comes with integration back into Python via minijinja-py package. MiniJinja has a stronger sandbox than Jinja2 and might perform ever so slightly better in some situations. However you should be aware that due to the marshalling that needs to happen in either direction there is a certain amount of loss of information. Compiles to WebAssembly Extras Brian: The pytest Primary Power course is ready. To celebrate wrapping up the first course, pytest Primary Power is $49, the bundle is $99. Bundle: This + next 2 courses + access to repo, discussion forum, Slack, and Discord Michael: New HTMX, language course, and data science course coming at Talk Python. Add your name here to get notified. I'll be at PyBay 2023 on Oct 8, 2023 Use "friendofspeaker" with for a 20% discount on the regular tickets. Follow up from docstrings: From Rhet John Hagen: You can certainly omit the type information from the docstring when you are using typehints. This is the way I've seen almost all modern usages of Google style docstrings nowadays. They still have some examples that include the type information because the original standard pre-dated Python 3 type annotations. Here is a simple example: https://github.com/johnthagen/python-blueprint/blob/main/src/fact/lib.py#L5 This also shows off the next point that you brought up: can I document all of the exceptions that a function could raise. Google docstrings have the "Raises:" block for this, and I find it pretty nice and concise for when this is needed. Also, PyCharm can be configured to autocomplete and render Google style docstrings https://www.jetbrains.com/help/pycharm/settings-tools-python-integrated-tools.html Tools | Python Integrated Tools | Docstrings | Docstring Format: Google What's nice about this, is that then PyCharm will render the google style docstrings in the Quick Doc function (Ctrl+Q), making the headers bold and larger and lists look nice so it's easy to read. Joke: Fully optimized my algorithm