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.
Inventory Pickup Web App
Playing a Game the Way it Wasn’t Meant to be Played (For Fun and Profit)
We should really talk about Moneyball.
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Tableau Public Review
I was first introduced to Tableau Public a few months ago when I was using it at a job.
Scraping PDFs with Python
PDFs are a hassle for those of us that have to work with them to get at their data. When I was at the Open Data NJ summit last month, the reporters and journalists went on and on about how utilizing PDFs the worst thing in the world, and they’re right.
The Crime Map You Should Know About
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.
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Comparing Company Names With Python
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.
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cleanco: A Python Module for Checking Business Names
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.
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My First Released Python Module: geochecker
I’ve finally created my first Python module, and it’s pretty great (in my opinion).
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Trading In Excel For Good: A Mac How-To Guide (Part III)
In case you’ve missed them, here’s Part I and Part II.
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What about Django?
No one can deny that Python is powerful, which is why it is well-loved. You can write a small app very quickly, have it connect to a database or to web APIs. String manipulation is powerful. It’s quick and easy to learn.
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