Test & Code

By Brian OkkenTechnology Education How To

Test & Code episodes

December 03, 201855: When 100% test coverage just isn't enough - Mahmoud Hashemi
What happens when 100% test code coverage just isn't enough.
In this episode, we talk with Mahmoud Hashemi about glom, a very cool project in itself, but a project that needs more coverage than 100%.
This problem affects lots of projects that use higher level programming constructs, like domain specific languages (DSLs), sub languages mini languages, compilers, and db query languages.
Also covered:
awesome Python applications
versioning: 0-ver vs calver vs semver
Special Guest: Mahmoud Hashemi.
Sponsored By:
DigitalOceanGet started with a free $100 credit
Support Test & Code - Software Testing, Development, Python
Links:
Announcing glom — Restructured Data for Python
Domain-specific language - Wikipedia
awesome-python-applications — Free software that works great, and also happens to be open-source Python.
Meld — a visual diff and merge tool targeted at developers.
ZeroVer: 0-based Versioning
SemVer: Semantic Versioning
CalVer: Calendar Versioning
episode 27: unit, integration, and system testing - Mahmoud Hashemi
35 min
November 25, 201854: Python 1994 - Paul Everitt
Paul talks about the beginning years of Python.
Talking about Python's beginnings is also talking about the Python community beginnings.
Yes, it's reminiscing, but it's fun.
Special Guest: Paul Everitt.
Links:
Python 1994 Panel Discussion PyCon 2017
"Python 1994", PyBay2017
Spam, Spam, Spam, ...
30 min
November 25, 201854: Python 1994 - Paul Everitt
Paul talks about the beginning years of Python.
Talking about Python's beginnings is also talking about the Python community beginnings.
Yes, it's reminiscing, but it's fun.
Special Guest: Paul Everitt.
Sponsored By:
DigitalOceanGet started with a free $100 credit
Support Test & Code - Software Testing, Development, Python
Links:
Python 1994 Panel Discussion PyCon 2017
"Python 1994", PyBay2017
Spam, Spam, Spam, ...
30 min
November 19, 201853: Seven Databases in Seven Weeks - Luc Perkins
Luc Perkins joins the show to talk about "Seven Databases in Seven Weeks: A guide to modern databases and the NoSQL movement."
We discuss a bit about each database: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB.
Special Guest: Luc Perkins.
Links:
Seven Databases in Seven Weeks, Second Edition: A Guide to Modern Databases and the NoSQL Movement
PostgreSQL
Redis
Neo4j Graph Database
CouchDB
MongoDB
HBase
DynamoDB
55 min
November 19, 201853: Seven Databases in Seven Weeks - Luc Perkins
Luc Perkins joins the show to talk about "Seven Databases in Seven Weeks: A guide to modern databases and the NoSQL movement."
We discuss a bit about each database: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB.
Special Guest: Luc Perkins.
Sponsored By:
PyCharm ProfessionalTry PyCharm Pro for an extended 4 month trial before deciding which version you need. If you value your time, you owe it to yourself to try PyCharm. Promo Code: TESTNCODE2019
Support Test & Code - Software Testing, Development, Python
Links:
Seven Databases in Seven Weeks, Second Edition: A Guide to Modern Databases and the NoSQL Movement
PostgreSQL
Redis
Neo4j Graph Database
CouchDB
MongoDB
HBase
DynamoDB
55 min
November 05, 201852: pyproject.toml : the future of Python packaging - Brett Cannon
Brett Cannon discusses the changes afoot in Python packaging as a result of PEP 517, PEP 518, starting with "How did we get here?" and "Where are we going?"
Discussed:
flit
Poetry
tox
Continuous Integration
setup.py, MANIFEST.in, etc.
pipenv
what's with lock files
applications (doesn't go on PyPI) vs libraries (goes on PyPI)
workflows
dependency resolution
deployment dependencies vs development dependencies
will lock files be standarized
multiple lock files
requirements.txt
Special Guest: Brett Cannon.
Links:
Flit
Poetry
Python Bytes #100 : The big 100 with special guests
PEP 517 -- A build-system independent format for source trees | Python.org
PEP 518 -- Specifying Minimum Build System Requirements for Python Projects | Python.org
51 min
November 05, 201852: pyproject.toml : the future of Python packaging - Brett Cannon
Brett Cannon discusses the changes afoot in Python packaging as a result of PEP 517, PEP 518, starting with "How did we get here?" and "Where are we going?"
Discussed:
flit
Poetry
tox
Continuous Integration
setup.py, MANIFEST.in, etc.
pipenv
what's with lock files
applications (doesn't go on PyPI) vs libraries (goes on PyPI)
workflows
dependency resolution
deployment dependencies vs development dependencies
will lock files be standarized
multiple lock files
requirements.txt
Special Guest: Brett Cannon.
Sponsored By:
DigitalOceanGet started with a free $100 credit
Support Test & Code - Software Testing, Development, Python
Links:
Flit
Poetry
Python Bytes #100 : The big 100 with special guests
PEP 517 -- A build-system independent format for source trees | Python.org
PEP 518 -- Specifying Minimum Build System Requirements for Python Projects | Python.org
51 min
October 30, 201851: Feature Testing
Andy Knight joins me in discussing the concept of feature testing.
A feature tests is "a test verifying a service or library as the customer would use it, but within a single process." That was a quote from an article that appeared on the Twitter engineering blog. The article describes a shift away from class tests towards feature tests, the benefits of the shift, and some reactions to it.
Feature tests are similar to something I used to call "functional subcutaneous integration test", but it's a way better name, and I plan to use it more often.
The idea fits well with my testing philosophy. Andy Knight is someone still holding onto the testing pyramid. So I thought it would be fun to ask him to discuss feature testing with me. I think it's a balanced discussion. I hope you enjoy it and learn something.
Special Guest: Andy Knight.
Links:
Twitter engineering blog article describing Feature Testing : The testing renaissance
32 min
October 30, 201851: Feature Testing
Andy Knight joins me in discussing the concept of feature testing.
A feature tests is "a test verifying a service or library as the customer would use it, but within a single process." That was a quote from an article that appeared on the Twitter engineering blog. The article describes a shift away from class tests towards feature tests, the benefits of the shift, and some reactions to it.
Feature tests are similar to something I used to call "functional subcutaneous integration test", but it's a way better name, and I plan to use it more often.
The idea fits well with my testing philosophy. Andy Knight is someone still holding onto the testing pyramid. So I thought it would be fun to ask him to discuss feature testing with me. I think it's a balanced discussion. I hope you enjoy it and learn something.
Special Guest: Andy Knight.
Sponsored By:
PyCharm ProfessionalTry PyCharm Pro for an extended 4 month trial before deciding which version you need. If you value your time, you owe it to yourself to try PyCharm. Promo Code: TESTNCODE2019
Support Test & Code - Software Testing, Development, Python
Links:
Twitter engineering blog article describing Feature Testing : The testing renaissance
32 min
October 25, 201850: Flaky Tests and How to Deal with Them
Anthony Shaw joins Brian to discuss flaky tests and flaky test suites.
What are flaky tests?
Is it the same as fragile tests?
Why are they bad?
How do we deal with them?
What causes flakiness?
How can we fix them?
How can we avoid them?
Proactively rooting out flakiness
Test design
GUI tests
Sharing solutions
Special Guest: Anthony Shaw.
Links:
Dropbox article on flaky tests
Microsoft article on flaky tests
pytest-rerunfailures: a py.test plugin that re-runs failed tests up to -n times to eliminate flakey failures
pytest-randomly: Pytest plugin to randomly order tests and control random.seed
pytest-random-order: pytest plugin to randomise the order of tests with some control over the randomness
math.isclose()
numpy.isclose()
pytest.approx() — approx
Anthony's testing article on RealPython
Ghost Inspector
wily: A Python application for tracking, reporting on timing and complexity in tests
33 min