Optimization
- Avoid importing all using
import *
- Avoid re-writing functions which already exist in python. built-in functions are much faster.
- Use specialized tools such as Numpy and Pandas, they are both optimized and compiled for fast computation.
- Make sure that you use all resources available. such as GPU processing in pipelines.
- Make sure that the data you wish to process is cleaned and makes sense.
- Use generator functions(using
yield
) to control overhead of memory allocation.
Loops
- Avoid Loops if alternative exists.
- Use zip() to iterate over multiple lists
Debugging
- Specify the exception in the Try-Except structure.
Working with Files
- Always open files using
with
.