Test & Code

By Brian OkkenTechnology Education How To

Test & Code episodes

February 13, 201836: Stephanie Hurlburt - Mentoring and Open Office Hours
Stephanie is a co-founder and graphics engineer at Binomial.
She works on Basis, an image compressor, and has customers in games, video, mapping, and any application that has lots of image data.
Stephanie has also been encouraging experienced engineers to open up their twitter DMs to questions from anyone, to help mentor people not only in technical questions, but in career questions as well.
She also sets aside some time to mentor people through skype when written form just doesn't cut it.
That's the primary reason I have Stephanie on today, to talk about mentoring and open office hours.
But we also talk about
Binomial
image compression
texture mapping
the use of both manual and automated testing for complex systems
sane work hours
work life balance
and how long hours have led her to the opinions she holds today
Special Guest: Stephanie Hurlburt.
Sponsored By:
Patreon SupportersHelp support the show with as little as $1 per month.
Funds help pay for expenses associated with the show.
Support Test & Code - Software Testing, Development, Python
Links:
Binomial
List of Engineers Willing to Mentor You — Stephanie Hurlburt
Stephanie Hurlburt (@sehurlburt) | Twitter
Slack - Python Testing / Test & Code — A super nice group of folks who are great at answering test related questions.
32 min
February 01, 201835: Continuing Education and Certificate Programs at UW
There are lots of ways to up your skills.
Of course, I'm a big fan of learning through reading books, such as upping your testing skills by reading Python Testing with pytest.
And then there are online learning systems and MOOCs.
At the other end of the spectrum is a full blown university degree.
One option kind of in the middle is continuing education programs available through some universities, such as University of Washington.
To discuss this option with me in more depth, we've got Andrew Hoover,
Senior Director, Program Strategy, University of Washington Continuum College
Special Guest: Andrew Hoover.
Links:
UW Professional & Continuing Education
UW Career Accelerator Certificates
Certificate in Data Analytics
Certificate in Data Science
Certificate in Machine Learning
Certificate in Project Management
Certificate in Python Programming
26 min
February 01, 201835: Continuing Education and Certificate Programs at UW
There are lots of ways to up your skills.
Of course, I'm a big fan of learning through reading books, such as upping your testing skills by reading Python Testing with pytest.
And then there are online learning systems and MOOCs.
At the other end of the spectrum is a full blown university degree.
One option kind of in the middle is continuing education programs available through some universities, such as University of Washington.
To discuss this option with me in more depth, we've got Andrew Hoover,
Senior Director, Program Strategy, University of Washington Continuum College
Special Guest: Andrew Hoover.
Sponsored By:
Python Testing with pytestSimple, Rapid, Effective, and Scalable
The fastest way to learn pytest. From 0 to expert in under 200 pages.
Patreon SupportersHelp support the show with as little as $1 per month.
Funds help pay for expenses associated with the show.
Support Test & Code - Software Testing, Development, Python
Links:
UW Professional & Continuing Education
UW Career Accelerator Certificates
Certificate in Data Analytics
Certificate in Data Science
Certificate in Machine Learning
Certificate in Project Management
Certificate in Python Programming
26 min
December 31, 201734: TDD and Test First
An in depth discussion of Test Driven Development (TDD) should include a discussion of Test First. So that's where we start.
Why write tests first?
How do you know what tests to write?
What are the steps for test first?
Isn't this just TDD?
Functional Tests vs Unit Tests
Links:
Test First Programming / Test First Development - Python Testing
My reaction to "Is TDD Dead?" - Python Testing
Episode 23: Lessons about testing and TDD from Kent Beck
Talk Python, Episode #145 2017 Python Year in Review
PyCon 2018 in Cleveland, Ohio | May 9-17
Python Bytes Podcast
Python Testing with pytest: Simple, Rapid, Effective, and Scalable: Brian Okken: 9781680502404: Amazon.com: Books
26 min
December 31, 201734: TDD and Test First
An in depth discussion of Test Driven Development (TDD) should include a discussion of Test First. So that's where we start.
Why write tests first?
How do you know what tests to write?
What are the steps for test first?
Isn't this just TDD?
Functional Tests vs Unit Tests
Sponsored By:
Python Testing with pytestSimple, Rapid, Effective, and Scalable
The fastest way to learn pytest. From 0 to expert in under 200 pages.
Patreon SupportersHelp support the show with as little as $1 per month.
Funds help pay for expenses associated with the show.
Support Test & Code - Software Testing, Development, Python
Links:
Test First Programming / Test First Development - Python Testing
My reaction to "Is TDD Dead?" - Python Testing
Episode 23: Lessons about testing and TDD from Kent Beck
Talk Python, Episode #145 2017 Python Year in Review
PyCon 2018 in Cleveland, Ohio | May 9-17
Python Bytes Podcast
Python Testing with pytest: Simple, Rapid, Effective, and Scalable: Brian Okken: 9781680502404: Amazon.com: Books
25 min
November 30, 201733: Katharine Jarmul - Testing in Data Science
A discussion with Katharine Jarmul, aka kjam, about some of the challenges of data science with respect to testing.
Some of the topics we discuss:
experimentation vs testing
testing pipelines and pipeline changes
automating data validation
property based testing
schema validation and detecting schema changes
using unit test techniques to test data pipeline stages
testing nodes and transitions in DAGs
testing expected and unexpected data
missing data and non-signals
corrupting a dataset with noise
fuzz testing for both data pipelines and web APIs
datafuzz
hypothesis
testing internal interfaces
documenting and sharing domain expertise to build good reasonableness
intermediary data and stages
neural networks
speaking at conferences
Special Guest: Katharine Jarmul.
Links:
@kjam on Twitter — Data Magic and Computer Sorcery
Kjamistan: Data Science
datafuzz’s Python library — The goal of datafuzz is to give you the ability to test your data science code and models with BAD data.
Hypothesis Python library — Hypothesis is a Python library for finding edge cases in your code you wouldn’t have thought to look for.
38 min
November 30, 201733: Katharine Jarmul - Testing in Data Science
A discussion with Katharine Jarmul, aka kjam, about some of the challenges of data science with respect to testing.
Some of the topics we discuss:
experimentation vs testing
testing pipelines and pipeline changes
automating data validation
property based testing
schema validation and detecting schema changes
using unit test techniques to test data pipeline stages
testing nodes and transitions in DAGs
testing expected and unexpected data
missing data and non-signals
corrupting a dataset with noise
fuzz testing for both data pipelines and web APIs
datafuzz
hypothesis
testing internal interfaces
documenting and sharing domain expertise to build good reasonableness
intermediary data and stages
neural networks
speaking at conferences
Special Guest: Katharine Jarmul.
Sponsored By:
Python Testing with pytestSimple, Rapid, Effective, and Scalable
The fastest way to learn pytest. From 0 to expert in under 200 pages.
Patreon SupportersHelp support the show with as little as $1 per month.
Funds help pay for expenses associated with the show.
Support Test & Code - Software Testing, Development, Python
Links:
@kjam on Twitter — Data Magic and Computer Sorcery
Kjamistan: Data Science
datafuzz’s Python library — The goal of datafuzz is to give you the ability to test your data science code and models with BAD data.
Hypothesis Python library — Hypothesis is a Python library for finding edge cases in your code you wouldn’t have thought to look for.
38 min
October 03, 201732: David Hussman - Agile vs Agility, Dude's Law, and more
A wonderful discussion with David Hussman. David and Brian look back at what all we've learned in XP, TDD, and other Agile methodologies, where things have gone awry, how to bring the value back, and where testing fits into all of this.
How to build the wrong thing faster
Agile vs Agility
Product vs Process
Where testing fits into software development practices.
"Integration tests, there's a name that needs to be refactored desperately."
Integration tests are "story tests". They tell the story of the product.
XP and TDD and the relationship with tests
To test for design, use microtests, xUnit style.
User Advocy tests are often lacking, but are needed to learn about the product.
"I just keep writing tests until I'm not scared anymore." - Kent Beck
Dude's Law: Value = Why/How
People often focus so much on the how that they forget about why they are doing something.
Subcutaneous Tests
"The hardest part of programming is thinking."
Refactoring vs Repaving
Agility means being able to quickly change direction
During experimentation and learning, what matters isn't how much you got done, but how much you learn.
"The best way to get automation is to make developers do manual tests."
Special Guest: David Hussman.
Links:
DevJam
PNSQC 2015 How to Build the Wrong Thing Faster and Learn From It
People's Front of Judea
TDD on c2
The waterfall model
Test First Programming
Dude's Law
Subcutaneous Test
48 min
October 03, 201732: David Hussman - Agile vs Agility, Dude's Law, and more
A wonderful discussion with David Hussman. David and Brian look back at what all we've learned in XP, TDD, and other Agile methodologies, where things have gone awry, how to bring the value back, and where testing fits into all of this.
How to build the wrong thing faster
Agile vs Agility
Product vs Process
Where testing fits into software development practices.
"Integration tests, there's a name that needs to be refactored desperately."
Integration tests are "story tests". They tell the story of the product.
XP and TDD and the relationship with tests
To test for design, use microtests, xUnit style.
User Advocy tests are often lacking, but are needed to learn about the product.
"I just keep writing tests until I'm not scared anymore." - Kent Beck
Dude's Law: Value = Why/How
People often focus so much on the how that they forget about why they are doing something.
Subcutaneous Tests
"The hardest part of programming is thinking."
Refactoring vs Repaving
Agility means being able to quickly change direction
During experimentation and learning, what matters isn't how much you got done, but how much you learn.
"The best way to get automation is to make developers do manual tests."
Special Guest: David Hussman.
Sponsored By:
Talk Python TrainingOnline video courses for Python developers
Python Testing with pytestSimple, Rapid, Effective, and Scalable
The fastest way to learn pytest. From 0 to expert in under 200 pages.
Patreon SupportersHelp support the show with as little as $1 per month.
Funds help pay for expenses associated with the show.
Support Test & Code - Software Testing, Development, Python
Links:
DevJam
PNSQC 2015 How to Build the Wrong Thing Faster and Learn From It
People's Front of Judea
TDD on c2
The waterfall model
Test First Programming
Dude's Law
Subcutaneous Test
48 min
September 27, 201731: I'm so sick of the testing pyramid
What started as a twitter disagreement carries over into this civil discussion of software testing.
Brian and Paul discuss testing practices such as the testing pyramid, TDD, unit testing, system testing, and balancing test effort.
the Testing Pyramid
the Testing Column
TDD
unit testing
balancing unit with system tests, functional tests
API testing
subcutaneous testing
customer facing tests
Special Guest: Paul Merrill.
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Links:
Episode 34 - Software and Testing Models with Guest Host Brian Okken - Reflection As A Service — Cross posted to RaaS
Subcutaneous Test — I use subcutaneous test to mean a test that operates just under the UI of an application.
The Forgotten Layer of the Test Automation Pyramid — At the base of the test automation pyramid is unit testing.
The Dreyfus model of skill acquisition — The Five-Stage Model of Adult Skill Acquisition
40 min