Skip to Content
Effective Python Exceptions
video

Effective Python Exceptions

by Alfredo Deza, Noah Gift
April 2021
Intermediate
43m
English
Pragmatic AI Labs

Overview

Python exceptions are exceptional at helping your program take decisions. It is natural to feel the urge to catch them all and ignore them. But powerful programs can be created by learning how to leverage them in order to make robust scripts and take your coding skills to the next level. In this video, I cover several techniques that will help you improve your exception handling.
Topics include:
* Create a script that uses exception poorly, and then improve it
* Slowly clean up broad catching exceptions to improve the script
* Learn how to produce better errors from exceptions
* Leverage other tools like logging to produce meaningful errors and tracebacks while keeping messages clean
Follow along the repository to continue using more examples: https://github.com/alfredodeza/exceptions/

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Watch now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Build a useful Python decorator

Build a useful Python decorator

Alfredo Deza, Noah Gift
What is __name__ for in Python

What is __name__ for in Python

Alfredo Deza, Noah Gift

Publisher Resources

ISBN: 50112VIDEOPAIMLOtherOtherOther