Test & Code : Python Testing for Software Engineering Brian Okken

Wearable technology is not just smart consumer devices like watches and activity trackers.


Wearable tech also includes one off projects by designers, makers, and hackers and there are more and more people producing tutorials on how to get started. Wearable tech is 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 my many questions about getting started safely with wearable tech.


Some of the questions and topics:



Can I wash my clothing if I've added tech to it?
Is there any danger in wearing technology or building wearable tech?
Are there actual wires and cables conductive thread in the fabric and textiles of some wearable tech projects?
What's a good starter project? Especially if I want to do a wearable tech project with my kids?
Dealing with stretch with clothing and non-bendy electronics.
Some questions around the Sophy Wong and HackSpace "Wearable Tech Projects" book.
How did you get into wearable tech?
Do you have a favorite project?
Can I get into wearable tech if I don't know how to code or solder?
Are these projects accessible to people with limited budgets?
Making projects so you can reuse the expensive bits on multiple projects.
Special Guest: Sophy Wong.
Sponsored By:
monday.com: Creating a monday.com app can help thousands of people and win you prizes. Maybe even a Tesla or a MacBook.PyCharm Professional: Try PyCharm Pro for 4 months and learn how PyCharm will save you time. Promo Code: TESTANDCODE20Support Test & Code : Python Testing for Software Engineering
Links:
sophywong.comWearable Tech Projects book — The wearable technology bookcostumes — The dress is on this page, as well as the Ghostbuster pack and costume.spacesuitMusic video with Sophy's space suitKobakant tutorials

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.


Topics include:



parallelizing tests
moving from disk to memory
using fake data and factory functions
targeted mocking
Special Guest: Adam Johnson.
Sponsored By:
monday.com: Creating a monday.com app can help thousands of people and win you prizes. Maybe even a Tesla or a MacBook.Datadog: Modern monitoring & security. See inside any stack, any app, at any scale, anywhere.
Visit testandcode.com/datadog to get started.Support Test & Code : Python Testing for Software Engineering
Links:
Speed Up Your Django Tests — the book by Adam JohnsonKukicha — "or twig tea, ..., is a Japanese blend made of stems, stalks, and twigs."

Within software projects, there are lots of metrics we could measure. But which ones really matter. Instead of a list, Benjamin Harding shares with us a way of thinking about business outcomes that can help us with every day decision making.


We talk about:



Business outcomes vs vanity metrics
As a developer, how do you keep business outcomes in mind
Thinking about customer value all the time
Communicating decisions and options in terms of costs and impact on business outcomes
Company culture and it's role in reinforcing a business outcome mindset
And even the role of team lead as impact multiplier


I really enjoyed this conversation. But I admit that at first, I didn't realize how important this is on all software development. Metrics are front and center in a web app. But what about a service, or an embedded system with no telemetry. It still matters, maybe even more so. Little and big decisions developers face every day that have impact on costs and benefits with respect to customer value and business outcome, even if it's difficult to measure.
Special Guest: Benjamin Harding.
Sponsored By:
PyCharm Professional: Try PyCharm Pro for 4 months and learn how PyCharm will save you time. Promo Code: TESTANDCODE20monday.com: Creating a monday.com app can help thousands of people and win you prizes. Maybe even a Tesla or a MacBook.Support Test & Code : Python Testing for Software Engineering

Hackathons have been spreading around the world; many at university campuses. Major League Hacking, MLH, has been encouraging and helping hackathons.


Hacking can be thought of as tinkering. Taking things apart and putting them back together as an interesting experience. There's always been some of this as part of software culture.


The people at Major League Hacking have taken this to a whole new level, bringing together Tech creators who enjoy playing around with and crating new technology, on campuses, and now in virtual spaces, all over the world.


Jonathon Gottfried, one of the cofounders of Major League Hacking, joins the show to talk about:



hacker meetups and events
hackathons
what it's like to go to a hackathon
how to help out with hackathons as an experienced engineer, even virtually as a mentor
hackathons continuing virtually during the pandemic
internships and fellowships on open source projects to help students gain experience, even during the pandemic
MLH approach to internships, giving interns a support group, including peers, mentors, and project maintainers
and MLH itself
Special Guest: Jon Gottfried.
Sponsored By:
Datadog: Modern monitoring & security. See inside any stack, any app, at any scale, anywhere.
Visit testandcode.com/datadog to get started.monday.com: Creating a monday.com app can help thousands of people and win you prizes. Maybe even a Tesla or a MacBook.Support Test & Code : Python Testing for Software Engineering
Links:
Major League Hacking

Using mock objects during testing in Python.


Anna-Lena joins the podcast to teach us about mocks and using unittest.mock objects during testing.


We discuss:



the different styles of using mocks
pros and cons of mocks
dependency injection
adapter pattern
mock hell
magical universe
and much more
Special Guest: Anna-Lena Popkes.
Sponsored By:
Talk Python Training: Online video courses for Python developersPyCharm Professional: Try PyCharm Pro for 4 months and learn how PyCharm will save you time. Promo Code: TESTANDCODE20HoneyBadger: When bad things happen, it's nice to know that Honeybadger has your back. 30% off for first 6 months when you mention Test & Code Podcast when signing up.Support Test & Code : Python Testing for Software Engineering
Links:
Personal webpage of Anna-Lena PopkesMagical Universe — Awesome Python features explained using the world of magicTest & Code 102: Cosmic Python, TDD, testing and external dependencies — The episode where Harry Percival discusses mocking.Talk: Harry Percival - Stop Using Mocks (for a while) - YouTube — Talk: Harry Percival - Stop Using Mocks (for a while)unittest.mock AutospeccingMock Hell Talk (45 min version) Edwin Jung - PyCon 2019 Mock Hell Talk (30 min version) - Edwin Jung - PyConDE PyCon EstoniaKI macht Schule!Talk Python #186 : 100 Days of Python in a Magical Universe

Some people avoid writing tests. Some drudge through it painfully.
There is a better way.
In this episode, I'm going to share some advice from Luke Plant on how to "Test Smarter, Not Harder".
Sponsored By:
Talk Python Training: Online video courses for Python developersDatadog: Modern monitoring & security. See inside any stack, any app, at any scale, anywhere.
Visit testandcode.com/datadog to get started.Support Test & Code : Python Testing for Software Engineering
Links:
Test smarter, not harder - lukeplant.me.uk — The original article by Luke