Let me know in the comments section below if you use it! I like this question because of how relevant it is in today's world. The thread has close to 200 comments from experienced data scientists and machine learning researchers debating whether these coding challenges are a good or bad thing in an interview round. There's a lot of experience here so this is a discussion you really should pay close attention to. The essential question it comes down to is – should data science/machine learning professionals be judged extremely tightly on their coding skills or should algorithms/concepts take preference?

GitHub and Reddit are two of the most popular platforms when it comes to data science and machine learning. The former is an awesome tool for sharing and collaborating on codes and projects while the latter is the best platform out there for engaging with data science enthusiasts from around the world. This year, we have covered the top GitHub repositories each month and from this month onwards, we will be including the top Reddit threads as well that generated the most interesting and intriguing discussions in the machine learning space. April saw some amazing python libraries being open sourced. From Deep Painterly Harmonization, a library that makes manipulated images look ultra realistic, to Swift for TensorFlow, this article covers the best from last month.