Hey everyone!
So, I’ve been diving into web scraping lately, and I’m kinda curious—can numpy be used with web scraping? Like, I know it’s a beast for data processing, but does it actually fit into the whole scraping workflow?
I’ve been using BeautifulSoup and requests for scraping, but once I get the data, it’s a mess. I’m wondering if numpy can help clean it up or do some heavy lifting with numbers and arrays.
Also, is it overkill? Or does it actually make sense to use numpy for post-scraping data processing? Would love to hear your thoughts or if anyone’s tried it before.
Thanks in advance!
So, I’ve been diving into web scraping lately, and I’m kinda curious—can numpy be used with web scraping? Like, I know it’s a beast for data processing, but does it actually fit into the whole scraping workflow?
I’ve been using BeautifulSoup and requests for scraping, but once I get the data, it’s a mess. I’m wondering if numpy can help clean it up or do some heavy lifting with numbers and arrays.
Also, is it overkill? Or does it actually make sense to use numpy for post-scraping data processing? Would love to hear your thoughts or if anyone’s tried it before.
Thanks in advance!
