It has been a number of years since I first wrote about scraping PDFs using Python, and it has been by-far my most popular post on this blog.
A fully-connected construction industry is long overdue, but many technologies and integrations still need to be made that are long overdue.
I wanted to use Django to solve a simple business problem, so I spent a few months of brainstorming and coding and came up with a system that I would like to discuss here.
We should really talk about Moneyball.
I’ve coded a crime map for Muckgers, an online student-run publication that I contribute to. I’ve explained in detail in several posts on the site what I’ve done and improved upon, but I thought I would go into more about code and concepts on my blog.
Continue reading “The Crime Map You Should Know About”
If you have trouble matching similar company names, you’re more than likely trying to clean up some sort of database. This is one of my major issues that I’ve tried to explore for myself, so hopefully my findings can assist others who find themselves in a similar situation.
Continue reading “Comparing Company Names With Python”
I had a business problem that I ended up solving during after-work hours. I was having trouble comparing two company strings to match them.
Continue reading “cleanco: A Python Module for Checking Business Names”
In case you’ve missed them, here’s Part I and Part II.
Continue reading “Trading In Excel For Good: A Mac How-To Guide (Part III)”