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Python with Katie McLaughlin

Python with Katie McLaughlin

FromGoogle Cloud Platform Podcast


Python with Katie McLaughlin

FromGoogle Cloud Platform Podcast

ratings:
Length:
28 minutes
Released:
Feb 19, 2020
Format:
Podcast episode

Description

Aja Hammerly and Brian Dorsey are here this week to start off a new year of podcasts! In an interview with Google Developer Advocate Katie McLaughlin, we talk about the advantages of Python 3 and why version 2 has been retired, as well as the cool things you can do with Django.

Later, Katie discusses the complexities of deployment and how she makes it work smoothly with GCP, and we have some fun with emojis!



Katie McLaughlin

Katie has worn many different hats over the years. She is currently a Developer Advocate at Google Cloud, and a Director of the Python Software Foundation. When she’s not changing the world, she enjoys making tapestries, cooking, and seeing just how well various application stacks handle emoji.

Cool things of the week


Running workloads on dedicated hardware just got better blog
Container security summit is going on as we record this site
Easily upgrade Windows Server 2008 R2 while migrating to Google Cloud blog
Launch of the BigQuery Weekly Data Challenge! site
New data engineering learning path site


Interview


Python Software Foundation site
PyCascades site
Django Demo site
Emojipedia site
App Engine site
Compute Engine site
Cloud Run site
Cloud Build site
Secrets Manager site
Kakapo Mountain Parrot site
The Power ⚡️ and Responsibility ? of Unicode Adoption ✨ video


Question of the week

I need to run something later, but Cron isn’t a good fit. What do I do?

Where can you find us next?

We’ll be at Cloud Next in San Francisco in April!
Katie will also be at PyCon US in April!

Sound Effects Attribution


“African Gray” by Jmagiera of Freesound.org
Released:
Feb 19, 2020
Format:
Podcast episode

Titles in the series (100)

The Google Cloud Platform Podcast, coming to you every week. Discussing everything on Google Cloud Platform from App Engine to Big Query.