What happens when 100% test code coverage just isn't enough.

Also covered:

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

Paul talks about the beginning years of Python.

Special Guest: Paul Everitt.

Links:

• Python 1994 Panel Discussion PyCon 2017
• "Python 1994", PyBay2017
• Spam, Spam, Spam, ...

Paul talks about the beginning years of Python.

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, ...

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

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

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:

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

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:

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

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

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

Anthony Shaw joins Brian to discuss flaky tests and flaky test suites.

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