How do I optimize a Python script?

Optimizing Your Python Code

1. List comprehensions.
2. Avoid for-loops and list comprehensions where possible.
3. Avoid unnecessary functions.
4. Use built-ins where possible.
5. Avoid the dot.
6. Know your data structures and know how they work in your version of Python.
7. Choose an approach wisely.

How do I make my Python program run faster?

How to Make Python Code Run Incredibly Fast

1. Proper algorithm & data structure. Each data structure has a significant effect on runtime.
2. Using built-in functions and libraries.
3. Use multiple assignments.
4. Prefer list comprehension over loops.
5. Proper import.
6. String Concatenation.

How do I run a Python file on startup?

The first task in getting a Python program to boot on start-up is to create a script file that call the Python program to execute. Copy and paste the following code into a file and then save that file as “startup.sh”. To keep things simple, make sure that the script file is saved to your Documents folder.

How do I check the performance of a Python script?

4 Simple Libraries to Quickly Benchmark Python Code

1. timeit. First up is a Python utility that’s been around for a while and is widely popular for performing quick performance tests.
2. line_profiler.
3. resource.
4. memory_profiler.

How do I get a program to run at startup?

To use the Startup folder to configure a program to run at boot, just make a shortcut to said program (Right click > Send to > Desktop) and put that shortcut in the Startup folder. Some programs use this method as their way of configuring themselves to run at start.

Why do we need to optimize our program?

Optimization can reduce readability and add code that is used only to improve the performance. This may complicate programs or systems, making them harder to maintain and debug. As a result, optimization or performance tuning is often performed at the end of the development stage.