Resources for developers using Python for scientific computing and quantitative analysis
In this tutorial, we will look at how we can speed up scientific computations using multiprocessing in a real-world example. Specifically, we will detect the location of all nuclei within fluorescence microscopy images from the public MCF7 Cell Painting dataset released by the Broad Institute.
Reddit has been at the epicenter of one of the biggest movements in the world of finance, and although it seemed like an unlikely source of such a movement — it’s hardly surprising in hindsight.
The trading-focused subreddits of Reddit are the backdrop for a huge amount of discussion about what is happening in the markets — so it is only logical to tap into this huge data source.
When building a data extraction tool like this, one of the first things we need to do is identify what the data we’re extracting is actually about — and for that we will be using named entity recognition (NER).
