Besides the libraries that were mentioned, ffmpeg is the (sort of) only stuff used to render videos or getting all frames from video that runs under the hood of almost every video editor program with very few exceptions (usually paid software). That being said, if you want to do things from grounds up, you have the option to edit images with python and render (and get the frames to begin with) using ffmpeg. By no means I'm saying this is the most sane or even the correct solution. It is just for fun and to shower you with another option to juggle (yes, I'm evil!, hahaha!) More on reddit.com

Subreddit for posting questions and asking for general advice about all topics related to learning python. More on reddit.com

Your videos are fantastic. I love how you break down topics into their basic components and then work your way back up. I would be really interested in seeing a video where you just informally talk about your methodologies when diving into a data set and looking for insights. For example, I work with a lot of user usage data and I feel comfortable manipulating, cleaning, and visualizing data. But I would like to improve when it comes to some of the next level analysis. Deciding on PQLs, segmenting customers based on product usage, identifying early churn indicators, etc. These questions will vary on a case-by-case basis, but a couple examples to get the ball rolling could include... Where do you like to start your analysis when looking at a new data set? And for multiple datasets when some of the information is related and some is not How you decide what is relevant (both statistically and for telling a story)? How do you recognize the sunk cost fallacy and stop your current train of thought to go down a more productive path? How do you avoid your own personal biases and assumptions about the data you are working with? Any other tips and advice you have about your process More on reddit.com

We have a similar issue at work. Our solution was to shell out to FFmpeg, decode/crop/resize/re-encode the whole video with the GPU (outside of Python), then load the resulting video normally. I expect you'd get better performance overall that way. More on reddit.com