Lynx Roundup, January 13th 2021 Open-source Python package for Survival Analysis modeling! Observability for Data Engineering! The Black-Scholes formula explained! Matthew Alhonte 13 Jan 2021 Observability for Data EngineeringObservability is a fast-growing concept in the Ops community that caught fire in recent years, led by major monitoring/logging companies and thought leaders like Datadog, Splunk, New Relic, and Sumo…DatabandEvgeny Shulmanshrynk - Using Machine Learning to learn how to Compress30% less disk required compared to using the single best strategyPascal van KootenPascal van KootenGoing with the flow: New insights into mysterious fluid motionsWater issuing from an ordinary faucet tells a complex tale of its journey through a pipe. At high velocities, the faucet’s gushing stream is turbulent: chaotic, disorderly—like the crash of ocean waves.Phys.orgScience X staffhuginn/huginnCreate agents that monitor and act on your behalf. Your agents are standing by! - huginn/huginnGitHubhuginnsquare/pysurvivalOpen source package for Survival Analysis modeling - square/pysurvivalGitHubsquareThe Black-Scholes formula, explainedThe Black–Scholes model is a mathematical model simulating the dynamics of a financial market containing derivative financial instruments. Since its introduction in 1973 and refinement in the 1970s…Cantor’s ParadiseJørgen VeisdalThis is how Facebook learns what you buy at physical stores in order to show you relevant ads — and how to opt outFacebook learns about what users are buying in order to serve them ads that reflect what they’re likely to spend money on.Business InsiderAaron Holmesdfs Roundup Matthew Alhonte @MattAlhonte Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python. Hackers and Slackers Newsletter Join the newsletter to receive the latest updates in your inbox. Your email address Subscribe Please check your inbox and click the link to confirm your subscription. Please enter a valid email address! An error occurred, please try again later.