We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:Daniel Chen – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:R Conference:WebsiteTwitter: @rstatsdcTicketsDiscount code PRACTICALAI20 is good for 20% off every ticket type, including the conference & all workshopsLinks relevant to the show:William Stafford Noble 2009 - A Quick Guide to Organizing Computational Biology ProjectsGreg Wilson, et al. 2014: “Best Practices for Scientific Computing”Greg Wilson, et al. 2017: “Good enough practices in scientific computing”Jenny Bryan’s code smells: link 1 and link2Jenny Bryan on naming thingsJD Long’s talk at rstudio::conf this year about being empatheticpython’s version of pyprojroot“Be kind: all else is details”. – Greg Wilson, Teaching Teach Together – The RulesBooks“Pandas for Everyone” by Daniel Chen“Advanced R” by Hadley WickhamUpcoming Events: Register for upcoming webinars here!