Getting Python to Go Faster

No one likes a slow application. So, it doesn’t surprise me that readers of Professional IronPython and Beginning Programming with Python For Dummies have asked me to provide them with some tips for making their applications faster. I imagine that I’ll eventually start receiving the same request from Python for Data Science for Dummies readers as well. With this in mind, I’ve written an article for New Relic entitled 6 Python Performance Tips, that will help you create significantly faster applications.

Python is a great language because you can use it in so many ways to meet so many different needs. It runs well on most platforms. It wouldn’t surprise me to find that Python eventually replaces a lot of the other languages that are currently in use. The medical and scientific communities have certainly taken a strong notice of Python and now I’m using it to work through Data Science problems. In short, Python really is a cool language as long as you do the right things to make it fast.

Obviously, my article only has six top tips and you should expect to see some additional tips uploaded to my blog from time-to-time. I also want to hear about your tips. Make sure you write me about them at Be sure to tell me which version of Python you’re using and the environment in which you’re using it when you write. Don’t limit your tips to those related to speed either. I really want to hear about your security and reliability tips too.

As with all my books, I provide great support for all of my Python books. I really do want you to have a great learning experience and that means having a great environment in which to learn. Please don’t write me about your personal coding project, but I definitely want to hear about any book-specific problems you have.