To kick things off: documentation. Docstrings are your new BFF (best friend forever). They help you explain what your code does and why it was written that way. Think of them as little notes to future developers who might be working on your project, or even yourself when you come back to the code in a few months and forget what the hell you were thinking.

Now, comments. Comments are great for explaining complex sections of code, but they can also get out of hand pretty quickly. Here’s a rule of thumb: if your comment is longer than three lines or explains more than one thing, it might be time to break that section into smaller functions with clearer names and docstrings.

Another best practice for Python application development is using type hinting. Type hinting helps you catch errors early on in the development process by providing information about what types of data your function expects as input and returns as output. This can save you a ton of time debugging later on, trust us.

When it comes to documentation generators, Sphinx is our go-to tool for creating beautiful, comprehensive docs that are easy to navigate. Doxygen is another popular option if you’re working with C++ or other languages. But let’s be real: who uses those anymore? Python is where the cool kids hang out!

Lastly, testing. Testing is crucial for making sure your code works as intended and catching any bugs before they become a bigger problem. We recommend using unittest or pytest to write tests that cover all of your functions and methods. And if you really want to be fancy, you can use tools like coverage to measure how much of your codebase is covered by your tests.

Remember, documentation is key, comments should be used sparingly, type hinting saves time and sanity, Sphinx makes beautiful docs, and testing catches bugs before they become a bigger problem.