Lynx Roundup, August 10th 2020 Airflow vs Luigi! Effectively Using Matplotlib! Accelerating image segmentation with NVIDIA Tensor Cores and TensorFlow! Matthew Alhonte 10 Aug 2020 Corina Tarnita and the Deep Mathematics of Social Insects | Quanta MagazineThe mathematical biologist Corina Tarnita explains to host Steven Strogatz how quantitative modeling solved the mystery of fairy circles.Quanta MagazineSteven StrogatzWe are entering the “teenage” years for AI where we are constantly asking “What were you thinking??” and “Are you listening to me??” 😏— Derek Collison (@derekcollison) March 1, 2020 Effectively Using MatplotlibMatplotlib is a valuable but misunderstood foundation of the python data science stack.Practical Business PythonChris MoffittColor in Data Visualization: Less How, More WhyIf our use of color in visualizations follows the Five Ws (and one H), we’re spending too much time on how, and not enough time on why. Color is too often seen as a tool to make pretty pictures, when…Towards Data ScienceConnor RothschildAirbnb’s Airflow Versus Spotify’s LuigiWe recently wrote about ETLs and why they’re important. We wanted to provide an outline for what ETL tools are. You could refer to these ETL tools as workflow tools that help manage moving data from…Better ProgrammingSeattleDataGuyWhat if Competition Isn’t As “Natural” As We Think?Scientists are slowly understanding collaboration’s biological role, which might just help us address the climate crisis.SlateJohn FaviniAccelerating Medical Image Segmentation with NVIDIA Tensor Cores and TensorFlow 2 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.