Today we’ll cover the tools that are very handy with large amount of data. I'm not going to tell you only general information that might be found in manuals but share some little tricks that I’ve discovered, such as using tqdm with multiprocessing imap, working with archives in parallel, plotting and processing 3D data, and how to search for a similar object within object meshes if you have a point cloud.
So why should we resort to parallel computing? Nowadays, if you work with any kind of data you might face problems related to "big data". Each time we have the data that doesn’t fit the RAM we need to process it piece by piece. Fortunately, modern programming languages allow us to spawn multiple processes (or even threads) that work perfectly on multi-core processors. (NB: That doesn’t mean that single-core processors cannot handle multiprocessing. Here’s the Stack Overflow thread on that topic.)