Time series forecasting with torch, automated scraping of stock metrics with GitHub Actions, and default knitr options and hooks. Episode Links This week's curator: Robert Hickman (@robwhickman (https://twitter.com/robwhickman)) Introductory time series forecasting with torch (https://blogs.rstudio.com/ai/posts/2021-03-10-forecasting-time-series-with-torch_1/) Daily Stock Gainers Automated Web Scraping in R with Github Actions (https://www.programmingwithr.com/daily-stock-gainers-automated-web-scraping-in-r-with-github-actions/) Default knitr options and hooks (https://www.jumpingrivers.com/blog/knitr-default-options-settings-hooks/) Supplemental Resources Introducing Torch for R (https://blogs.rstudio.com/ai/posts/2020-09-29-introducing-torch-for-r) Automating COVID-19 PDF scraping (https://lapsedgeographer.london/2020-04/automating-pdf-scraping) 1littlecoder YouTube channel (https://www.youtube.com/channel/UCpV_X0VrL8-jg3t6wYGS-1g) Shiny Developer Series (https://shinydevseries.com)