This longer post will show you some of the coding skills you’ll need for turning your existing Python code into the Python-C hybrid we call Cython. In doing so, we’ll be digging into some C static data types, to see how much faster Python code will run, and restructuring some Python code along the way for maximum speed.
With Cython, all the benefits of Python are still yours – easily readable code, fast development cycles, powerful high level commands, maintainability, a suite of web development frameworks, a huge standard library for data science, machine learning, imaging, databases and security, plus easy manipulation of files, documents and strings. You should still use Python for all these things – these are what Python does best. But you should also think about combining them with Cython to speed up your computationally intensive Python functions that needs to be fast. Continue reading “From Python To Cython”
Alas, dear Windows, it was not to be. I’m afraid I’ve been seeing other platforms. Specifically, I’ve been spending time with OS/X behind your back. It was just too painful to be with you. All those arguments, the shouting, the hair-pulling, the throwing things across the room.
Sure, you’re a lot less volatile than you used to be. And you don’t do the tearful breakdown thing any more. Yes, I know I can do almost anything with you that I can with OS/X, but everything just takes longer. OK, you want me to be honest? Fine. I find you excruciatingly frustrating to be with. Why is it always ME navigating around YOUR moods? I mean, why is it that after 25 years, everything with you is STILL a workaround?
Continue reading “The Toolkit – Updated”
After using Spyder for a couple of years, I recently changed my Python IDE from Spyder to PyCharm Community Edition (CE). And since I’ve now used both, I thought I’d share my impressions of each with you.
Continue reading “IDE Comparison: Spyder vs. PyCharm CE”