Systems | Development | Analytics | API | Testing



Identifying and Troubleshooting Inefficiencies in Django ORM

The Python web framework Django is an excellent choice for building performant web apps. Disqus, Pinterest, and Instagram are all built on a Django foundation. Django offers simplicity, flexibility, reliability, scalability, and all the tools you need to build a web app from admin to authentication to ORM. But this “batteries included” approach has disadvantages. It can hide a lot of the true complexity of an app from developers. Django ORM is a great example.


Flask vs. Django: Beyond Comparing Simple & Complex

It doesn’t matter if you’re just starting to learn code or if you’ve been doing it for a few years – sometimes you feel like you have no idea what you’re doing. This feeling can be made even worse by the wealth of information out there, making the right decision can get stressful. Life is full of those tough choices: Coke vs. Pepsi; Yankees vs. Red Sox; Python vs. Flask. You know, regular questions about soda, baseball, and Python frameworks that almost everyone faces.


Flask vs. Django: Which Python Framework is Better for Machine Learning Apps?

Python is insanely popular among machine learning enthusiasts these days. Hence, anyone developing a machine learning model normally turns to Python. The real challenge arises at the deployment stage because you can use many frameworks. Figuring out which Python framework to use may add to the confusion. This post discusses two popular machine learning frameworks, Flask and Django. We’ll also compare them side by side, so that you can make the right choice.