Test & Code : Python Testing
Because Software Engineering should include more testing
About the show
Test & Code is a weekly podcast hosted by Brian Okken.
The show covers a wide array of topics including software engineering, development, testing, Python programming, and many related topics.
When we get into the implementation specifics, that's usually Python, such as Python packaging, tox, pytest, and unittest. However, well over half of the topics are language agnostic, such as data science, DevOps, TDD, public speaking, mentoring, feature testing, NoSQL databases, end to end testing, automation, continuous integration, development methods, Selenium, the testing pyramid, and DevOps.
Test & Code : Python Testing on social media
Episodes
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150: A Practical Testing Strategy
April 15th, 2021 | 10 mins 34 secs
software testing, testing strategy
Coming up with a testing strategy doesn't have to be stressful. Prioritizing features to test, and generating test cases for each feature can be fairly quick and painless. This episode covers a strategy for both that can be applied to many types of software.
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149: I don't test my code, "crappy Python" is all I write - Corey Quinn
March 30th, 2021 | 49 mins 35 secs
software testing
Corey Quinn is the Chief Cloud Economist at The Duckbill Group. He's also a podcaster and writes a newsletter. And he also automates things with Python. But he doesn't write tests. Let's find out why.
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148: Coverage.py and testing packages
March 12th, 2021 | 14 mins 7 secs
coverage, pytest
How do you test installed packages using coverage.py?
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147: Testing Single File Python Applications/Scripts with pytest and coverage
March 5th, 2021 | 11 mins 24 secs
pytest, script, single file application
Have you ever written a single file Python application or script?
Have you written tests for it?
Do you check code coverage?
This is the topic of this weeks episode, spurred on by a listener question. -
146: Automation Tools for Web App and API Development and Maintenance - Michael Kennedy
February 28th, 2021 | 48 mins 33 secs
automation, maintenance, web apis, web applications
Michael Kennedy joins the show this week to share some of the tools he uses during development and maintenance.
We talk about tools used for semi-automated exploratory testing.
We also talk about some of the other tools and techniques he uses to keep Talk Python Training, Talk Python, and Python Bytes all up and running smoothly. -
145: For Those About to Mock - Michael Foord
February 18th, 2021 | 48 mins 44 secs
mock, mocking, python, tdd, unittest
A discussion about mocking in Python with the original contributor of unittest.mock, Michael Foord.
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144: TDD in Science - Martin Héroux
February 12th, 2021 | 53 mins 50 secs
scientific research, tdd, test driven development
Test Driven Development, TDD, is not easy to incorporate in your daily development.
Martin and Brian discuss TDD and testing and Martin's experience with testing, TDD, and using it for code involved with scientific research.
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143: pytest markers - Anthony Sottile
February 7th, 2021 | 40 mins
markers, pytest, python, testing
Completely nerding out about pytest markers with Anthony Sottile.
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142: MongoDB - Mark Smith
January 25th, 2021 | 35 mins 6 secs
document database, mongodb
MongoDB is possibly the most recognizable NoSQL document database.
Mark Smith, a developer advocate for MongoDB, answers my many questions about MongoDB.
We cover some basics, but also discuss some advanced features that I never knew about before this conversation. -
141: Visual Testing - Angie Jones
December 30th, 2020 | 30 mins 59 secs
browser testing, visual testing, web testing
Visual Testing has come a long way from the early days of x,y mouse clicks and pixel comparisons. Angie Jones joins the show to discuss how modern visual testing tools work and how to incorporate visual testing into a complete testing strategy.
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140: Testing in Scientific Research and Academia - Martin Héroux
December 18th, 2020 | 48 mins 1 sec
open software, scientific research, software testing
A discussion about open software and software testing in scientific research and academia.
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139: Test Automation: Shifting Testing Throughout the Software Lifecycle - Nalin Parbhu
December 4th, 2020 | 36 mins 53 secs
agile software development, test automation
Talking with Nalin Parbhu about the software evolution towards more test automation and the creation of Infuse and useMango. We talk a software development and "left shift" where automated tests and quality checks have moved earlier into the software lifecycle.
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138: Mutation Testing in Python with mutmut - Anders Hovmöller
November 19th, 2020 | 29 mins 58 secs
mutation testing, mutmut, software testing
Mutation testing is a way of testing the quality of your test suite. Anders wrote mutmut for mutation testing in Python, and explains mutation testing, mutmut usage, workflow, and more on this episode.
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137: Become an Author - Matt Harrison interviews Brian Okken
November 5th, 2020 | 40 mins 40 secs
publishing, technical books, writing
Matt Harrison, author of many Python books, is putting together a course, Effective Book Authoring, to help other people write and publish books.
As part of this course, he's including interviews with people who have already written books.
This is one of those, and we talk about self publishing vs working with a publisher, the process, the format, book promotion, and advice to writers. -
136: Wearable Technology - Sophy Wong
October 26th, 2020 | 31 mins 44 secs
wearable tech
Wearable technology includes one off projects by designers, makers, and hackers and there are more and more people producing tutorials on how to get started. It's also a great way to get both kids and adults excited about coding, electronics, and in general, engineering skills.
Sophy Wong is a designer who makes really cool stuff using code, technology, costuming, soldering, and even jewelry techniques to get tech onto the human body. Sophy joins the show to answer to answer my many questions about getting started safely with wearable tech.
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135: Speeding up Django Test Suites - Adam Johnson
October 20th, 2020 | 23 mins 34 secs
django, software testing
All test suites start fast. But as you grow your set of tests, each test adds a little bit of time to the suite.
What can you do about it to keep test suites fast?
Some things, like parallelization, are applicable to many domains.
What about, for instance, Django applications?
Well, Adam Johnson has thought about it a lot, and is here to tell us how we can speed up our Django test suites.