Hey! So, can numpy be used with web scraping? Absolutely! Numpy is a powerhouse for handling numerical data, and if your scraped data involves numbers, arrays, or matrices, it’s a great tool to clean and process it.
For example, if you’re scraping financial data or stats, numpy can help with calculations, filtering, or reshaping the data. But if your data is mostly text, numpy might not be the best fit.
I’d recommend pairing it with pandas though—it’s way better for tabular data and integrates seamlessly with numpy. Check out pandas’ documentation if you haven’t already!
For example, if you’re scraping financial data or stats, numpy can help with calculations, filtering, or reshaping the data. But if your data is mostly text, numpy might not be the best fit.
I’d recommend pairing it with pandas though—it’s way better for tabular data and integrates seamlessly with numpy. Check out pandas’ documentation if you haven’t already!