Tackle Python performance problems and speed up your apps with parallelism, concurrent execution, and OOP
About This Video
Although you're comfortable with Python, you wonder whether you are writing fast and performant code. Once in a while, you run out of RAM or your application doesn't run fast enough, and this forces you to find a different solution.
To further your software development career, you need to understand why and how Python executes your code so that you can create clean code that compiles in time.
Troubleshooting Python Application Development is your answer. This course takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You'll get things done, without a lengthy detour into how Python is implemented or computational theory.
Quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail.
All the code and the supporting files of this course are available on GitHub at - https://github.com/PacktPublishing/Troubleshooting-Python-Application-Development