Use a line_profiler

Explore how to use the line_profiler tool and the kernprof script to profile the execution time of individual Python code lines. Learn to decorate functions for profiling, handle output results, and use different methods to analyze performance, including IPython magic commands for interactive profiling.

We'll cover the following...

Getting started with line_profiler
Methods to view results of our profiler
Testing the methods by passing commands

There’s a neat 3rd party project called line_profiler that is designed to profile the time each individual line takes to execute. It also includes a script called kernprof for profiling Python applications and scripts using line_profiler. Just use pip to install the package.

Getting started with `line_profiler`

Here’s how:

pip3 install line_profiler

1.Introduction

2.An Intro to Argument Parsing Using argparse

3.The Collections Module

4.Context Managers

5.The Functools Module

6.All About Imports

7.The importlib Module

8.Iterators and Generators

9.The Itertools Module

10.Regular Expressions

Mini Project

11.The Typing Module

12.Python Built-ins

13.Unicode

14.Benchmarking

15.Encryption and Cryptography

16.Databases

Mini Project

17.The Super Built-in

18.Descriptors

19.Scope

20.Web Scraping

21.Web APIs

22.Working with FTP

23.The urllib Module

24.The doctest Module

25.The unittest Module

26.The mock Module

27.An Intro to coverage.py

28.The asyncio Module

29.The Threading Module

30.The Multiprocessing Module

31.The concurrent.futures Module

Mini Project

32.Wrapping Up

Use a line_profiler

Getting started with `line_profiler`

Use a line_profiler

Getting started with line_profiler

Getting started with `line_profiler`