Posit

How Can Data Teams Get Out of Their Own Way (Alex Gold) - KNN Ep. 196

Today, I had the pleasure of interviewing Alex Gold. Alex is the Director of Solutions Engineering + Support at posit and author of DevOps for Data Science. In this episode, we talk about Alex's experience working in data for presidential campaigns, his experience in solutions engineering, and the role that DevOps plays in the data domain. Book: https://www.routledge.com/DevOps-for-Data-Science/Gold/p/book/9781003213345 (You can use Code AFLY04 for a 20% discount) Alex's Links: LinkedIn - https://www.linkedin.com/in/alexkgold/ Twitter - https://x.com/alexkgold 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 questions Listen to Ken's Nearest Neighbors on all the main podcast platforms! On Apple Podcasts: https://podcasts.apple.com/us/podcast/kens-nearest-neighbors/id1538368692 (Please rate if you enjoy it!) On Spotify: https://open.spotify.com/show/7fJsuxiZl4TS1hqPUmDFbl On Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xNDMwMDQxLnJzcw?sa=X&ved=0CAMQ4aUDahcKEwjQ2bGBhfbsAhUAAAAAHQAAAAAQAQ MORE DATA SCIENCE CONTENT HERE: My Twitter - https://twitter.com/KenJee_DS LinkedIn - https://www.linkedin.com/in/kenjee/ Kaggle - https://www.kaggle.com/kenjee Medium Articles - https://medium.com/@kenneth.b.jee Github - https://github.com/PlayingNumbers My Sports Blog - https://www.playingnumbers.com ️ 66DaysOfData Discord Server - https://discord.com/invite/4p37sy5muZ

So You Think You Can ANALYZE? (Data Content Creator Hackathon)

Watch your favorite data science content creators compete for a piece of history. They will either prove their skills in front of the world or fail in the pursuit of eternal glory. This is so you think you can analyze. Special thanks to Posit for sponsoring this competition and make this all possible! Competitors: Team Jack @averysmith Jack Blandin @KeithGalli Team MMA @AlexTheAnalyst @nerdnourishment @Miki_ML Team Null Nick Singh Mark Freeman @SeattleDataGuy Team Shashank @ShashankData Team Posit-ively Skewed Greg Coquillo @datascienceharp Richad Nieves-Becker Ian Greengross Interviewer: Elijah Butler - https://www.tiktok.com/@imelijahbutler Posit Team - Michael Chow - Joe Cheng - Carolos Scheidegger - Julia Silge 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 questions MORE DATA SCIENCE CONTENT HERE: My Twitter - https://twitter.com/KenJee_DS LinkedIn - https://www.linkedin.com/in/kenjee/ Kaggle - https://www.kaggle.com/kenjee Medium Articles - https://medium.com/@kenneth.b.jee Github - https://github.com/PlayingNumbers My Sports Blog -https://www.playingnumbers.com Check These Videos Out Next! My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee 66 Days of Data: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee How I Would Learn Data Science in 2021: https://www.youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee My Playlists Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO

Joe Cheng, Julia Silge, Michael Chow

Build Captivating Display Tables in Python With Great Tables | Real Python Podcast #214

Do you need help making data tables in Python look interesting and attractive? How can you create beautiful display-ready tables as easily as charts and graphs in Python? This week on the show, we speak with Richard Iannone and Michael Chow from Posit about the Great Tables Python library. Links from the show: https://realpython.com/podcasts/rpp/214/ Michael and Richard discuss the design philosophy and history behind creating display tables. We dig into the grammar of tables, the background of the project, and an ingenious way to build a collection of examples for a library. We briefly cover how Richard and Michael started contributing to open source. We also discuss practicing data skills with challenges and resources like Tidy Tuesday. This episode is sponsored by Mailtrap. Topics: - 00:00:00 -- Introduction - 00:02:00 -- Michael's background in open source - 00:04:07 -- Rich's background in open source - 00:05:27 -- Advice for someone starting out - 00:08:55 -- What do you mean by the term "display" table - 00:11:32 -- What components were missing from other tables? - 00:13:31 -- Using examples to explain features - 00:16:09 -- Why was there an absence of this functionality in Python? - 00:19:35 -- A progressive approach and the grammar of tables - 00:21:26 -- Sponsor: Mailtrap - 00:22:01 -- The design philosophy of great tables - 00:25:31 -- Nanoplots, spark lines, and column spanners - 00:27:06 -- Building a gallery of examples - 00:28:56 -- Heat mapping cells and automatically adjusting text color - 00:32:54 -- Output formats for the tables - 00:34:46 -- Building in accessibility - 00:36:55 -- Dependencies - 00:37:42 -- What is the common workflow? - 00:41:39 -- Video Course Spotlight - 00:43:15 -- Adding graphics - 00:46:41 -- Using a table contest to get examples - 00:49:47 -- quartodoc and documenting the project - 00:55:00 -- Tidy Tuesday and data science community - 01:00:29 -- What are you excited about in the world of Python? - 01:03:46 -- What do you want to learn next? - 01:08:05 -- How can people follow the work you do online? - 01:09:57 -- Thanks and goodbye Links from the show: https://realpython.com/podcasts/rpp/214/

Michael Chow

It's All About Perspective: Making a Case for Generative Art - posit::conf(2023)

Presented by Meghan Santiago Harris This talk explores how to create art in the R language while highlighting some similarities between the skills required for creating generative art and those needed to perform data science tasks in R. Because the field of data science is inherently task-oriented, it is no wonder that most people struggle to see the utility of generative art past the bounds of a casual hobby. This talk will invite the participant to learn about generative art while focusing on ""why"" people should create it and its potential place in data science. This talk is suitable for all disciplines and artistic abilities. Furthermore, this talk will aim to expand the participant's perspective on generative art with the following concepts: - What is generative art and how can it be created in R or Python - Justifications for generative art within Data Science - Examples of programming skills that are transferrable between generative art and pragmatic data science projects Materials: - Link to the talk repo: https://github.com/Meghansaha/a_case_for_genart - Link to the slides: https://meghansaha.github.io/a_case_for_genart/#/title-slide - Link to the artpack package site: https://meghansaha.github.io/artpack/ - Personal Site: https://thetidytrekker.com/ Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference. -------------------------- Talk Track: Developing your skillset; building your career. Session Code: TALK-1109

A hacker's guide to open source LLMs - posit::conf(2023)

Presented by Jeremy Howard In this deeply informative video, Jeremy Howard, co-founder of fast.ai and creator of the ULMFiT approach on which all modern language models (LMs) are based, takes you on a comprehensive journey through the fascinating landscape of LMs. Starting with the foundational concepts, Jeremy introduces the architecture and mechanics that make these AI systems tick. He then delves into critical evaluations of GPT-4, illuminates practical uses of language models in code writing and data analysis, and offers hands-on tips for working with the OpenAI API. The video also provides expert guidance on technical topics such as fine-tuning, decoding tokens, and running private instances of GPT models. As we move further into the intricacies, Jeremy unpacks advanced strategies for model testing and optimization, utilizing tools like GPTQ and Hugging Face Transformers. He also explores the potential of specialized datasets like Orca and Platypus for fine-tuning and discusses cutting-edge trends in Retrieval Augmented Generation and information retrieval. Whether you're new to the field or an established professional, this presentation offers a wealth of insights to help you navigate the ever-evolving world of language models. (The above summary was, of course, created by an LLM!) For the notebook used in this talk, see https://github.com/fastai/lm-hackers. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference. -------------------------- Talk Track: Notebooks+LLMs may just be the future of coding. Session Code: KEY-1107

Why RStudio is now Posit (J.J. Allaire | Posit CEO) - KNN Ep. 158

Today, I had the pleasure of interviewing J.J. Allaire. J.J. is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown publishing ecosystem including rmarkdown, flexdashboard, learnr, and distill, and also worked extensively on the R interfaces to Python, Spark, and TensorFlow. J.J. is now leading the Quarto project, which is a new Jupyter-based scientific and technical publishing system. In this episode, we learn about why RStudio has now repositioned itself as Posit, how it maximizes its open-source nature as a B Corp, and how J.J. as an open-source advocate views the private nature of many LLMs. I really enjoyed this conversation, and I hope you will as well! Posit - https://posit.co/ 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 questions Listen to Ken's Nearest Neighbors on all the main podcast platforms! On Apple Podcasts: https://podcasts.apple.com/us/podcast/kens-nearest-neighbors/id1538368692 (Please rate if you enjoy it!) On Spotify: https://open.spotify.com/show/7fJsuxiZl4TS1hqPUmDFbl On Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xNDMwMDQxLnJzcw?sa=X&ved=0CAMQ4aUDahcKEwjQ2bGBhfbsAhUAAAAAHQAAAAAQAQ MORE DATA SCIENCE CONTENT HERE: My Twitter - https://twitter.com/KenJee_DS LinkedIn - https://www.linkedin.com/in/kenjee/ Kaggle - https://www.kaggle.com/kenjee Medium Articles - https://medium.com/@kenneth.b.jee Github - https://github.com/PlayingNumbers My Sports Blog - https://www.playingnumbers.com ️ 66DaysOfData Discord Server - https://discord.com/invite/4p37sy5muZ

Posit

Resources tagged Posit#

Johnson & Johnson's Open Source Journey with R in Clinical Trials

How Can Data Teams Get Out of Their Own Way (Alex Gold) - KNN Ep. 196

So You Think You Can ANALYZE? (Data Content Creator Hackathon)

Positron: An IDE Specialized For Data Science

817: The Positron IDE, Tidy NLP and MLOps — with Dr. @JuliaSilge

Build Captivating Display Tables in Python With Great Tables | Real Python Podcast #214

You Can Lead a Horse to Water...Changing the Data Science Culture for Veterinary Scientists

Why You Should Stop Networking and Start Making Friends - posit::conf(2023)

Why You Should Add Logging To Your Code (and make it more helpful) - posit::conf(2023)

What's New in the Torch Ecosystem - posit::conf(2023)

What's New in Quarto?* - posit::conf(2023)

What I Wish I Knew Before Becoming a Data Scientist - posit::conf(2023)

What an Early 2000s Reality Show Taught Me about File Management - posit::conf(2023)

We Converted our Documentation to Quarto - posit::conf(2023)

Visualizing Data Analysis Pipelines with Pandas Tutor and Tidy Data Tutor - posit::conf(2023)

Validating and Testing R Dataframes with Pandera via reticulate - R-Python Interoperability

Using R, Python, and Cloud Infrastructure to Battle Aquatic Invasive Species - posit::conf(2023)

Using R with Databricks Connect - posit::conf(2023)

Using R to develop production modeling workflows at Mayo Clinic - posit::conf(2023)

Using Data to Protect Traditional Lifeways - posit::conf(2023)

USGS R Package Development: 10-year Reflections - posit::conf(2023)

Unlock the Power of DataViz Animation and Interactivity in Quarto - posit::conf(2023)

Towards the Next Generation of Shiny UI

tidymodels: Adventures in Rewriting a Modeling Pipeline - posit::conf(2023)

The Road to Easier Shiny App Deployments - posit::conf(2023)

The Power of Prototyping in R Shiny: Saving Millions by Building the Right Tool - posit::conf(2023)

The People of Posit: Bringing Personality to R Packages - posit::conf(2023)

The Need for Speed - AccelerateR-ing R Adoption in GSK - posit::conf(2023)

The 'I' in Team: Peer-to-Peer Best Practices for Growing Data Science Teams - posit::conf(2023)

Thanks, I Made It with Quartodoc - posit::conf(2023)

Teaching Data Science in Adverse Circumstances: Posit Cloud and Quarto to the Rescue - posit::conf

Take it in Bits: Using R to Make Eviction Data Accessible to the Legal Aid Community - posit::conf

Sustainable Growth of Global Communities: R-Ladies' Next Ten Years - posit::conf(2023)

Succeed in the Life Sciences with R/Python and the Cloud - posit::conf(2023)

Styling and Templating Quarto Documents - posit::conf(2023)

Speeding Up Plots in R/Shiny - posit::conf(2023)

Solving a Secure Geocoding Problem (That Hardly Anybody Has) - posit::conf(2023)

Small Package, Broad Impact: How I Discovered the Ultimate New Hire Hack - posit::conf(2023)

Siuba and duckdb: Analyzing Everything Everywhere All at Once - posit::conf(2023)

Side Effects of a Year of Blogging - posit::conf(2023)

ShinyUiEditor: From Alpha to Powerful Shiny App Development Tool - posit::conf(2023)

Shiny New Tools for Scaling your Shiny Apps - posit::conf(2023)

Shiny for Python Machine Learning Apps with pandas, scikit-learn and TensorFlow - posit::conf(2023)

Shiny Developer Secrets: Insights From Over 1200 Applicants and What You MUST Know to Shine

Serenity Now, Productivity Later: Focus Your Project Stack with The Gonzalez Matrix - posit::conf

Scale Your Data Validation Workflow With {pointblank} and Posit Connect - posit::conf(2023)

Running R-Shiny without a Server - posit::conf(2023)

Reproducible Manuscripts with Quarto - posit::conf(2023)

Reliable Maintenance of Machine Learning Models - posit::conf(2023)

R! You Going?! - posit::conf(2023)

R Not Only In Production - posit::conf(2023)

Quickly get your Quarto HTML theme in order - posit::conf(2023)

Parameterized Quarto Reports Improve Understanding of Soil Health - posit::conf(2023)

Package Management for Data Scientists - posit::conf(2023)

Open Source Solutions to Next-Generation Submissions, After 30 Years of Industry Experience

Open Source Property Assessment: Tidymodels to Allocate $16B in Property Taxes - posit::conf(2023)

Oops I'm a Manager - On More Effective 1-on-1 Meetings - posit::conf(2023)

Never again in outer par mode: making next-generation PDFs with Quarto & typst - posit::conf(2023)

Motley Crews: Collaborating with Quarto - posit::conf(2023)

Matching Tools to Titans: Tailoring Posit Workbench for Every Cloud - posit::conf(2023)

Making a (Python) Web App is easy! - posit::conf(2023)

Magic with WebAssembly and webR - posit::conf(2023)

Large Language Models in RStudio - posit::conf(2023)

It's All About Perspective: Making a Case for Generative Art - posit::conf(2023)

It's Abstractions All the Way Down... - posit::conf(2023)

It's a Great Time to be an R Package Developer! - posit::conf(2023)

Insights in 5-D! (Using magic small-multiples layouts) - posit::conf(2023)

In-Process Analytical Data Management with DuckDB - posit::conf(2023)

HTML and CSS for R Users - posit::conf(2023)

How You Get Value as a 1-Person Posit Connect Team - posit::conf(2023)

How to Win Friends and Influence People (With Data) - posit::conf(2023)

How to Keep Your Data Science Meetup Sustainable - posit::conf(2023)

How to Help Developers Make Apps Users Love - posit::conf(2023)

How I Learned to Stop Worrying and Love Public Packages - posit::conf(2023)

How Data Scientists Broke A/B Testing (And How We Can Fix It) - posit::conf(2023)

Hitting the Target(s) of Data Orchestration - posit::conf(2023)

Grammar of Graphics in Python with Plotnine - posit::conf(2023)

Github Copilot integration with RStudio, it's finally here! - posit::conf(2023)