Advanced and Parallel Python
You’ve probably heard by now that Python is an easy to use, multi-purpose language but that it’s slow. While this might be true implementing algorithms naively, its performance can often be very good, and even on par with a C implementation.
The goal of this workshop is to give you the ability to take existing Python code and make it go faster. Way faster.
- The Scientific Python Software Stack
- Why (and What) is Python?
- Compiling Python Code
- Finding Bottlenecks
- Parallel Programming Concepts
- Using Multiple Cores
- Scaling Beyond One Machine
Reference web site built using tools provided by Software Carpentry.