Media Summary: Any team developing and maintaining software - be it free and open source or commercial - employs one form of software Speaker: Terry Yin, Programmer at Odd-e Static analyzers help us find problems in our code. They are like compilers in terms of ... Speakers: Brian Okken, Paul Everitt Know you should be doing

Pycon De 2018 Testing In - Detailed Analysis & Overview

Any team developing and maintaining software - be it free and open source or commercial - employs one form of software Speaker: Terry Yin, Programmer at Odd-e Static analyzers help us find problems in our code. They are like compilers in terms of ... Speakers: Brian Okken, Paul Everitt Know you should be doing Identifying topic models for user generated content like hotel reviews turns out to be difficult with the standard approach of LDA ... Jupyter notebooks are a great environment to prototype solutions and explore their design. Turning these solutions into reusable ... Speaker: Carl Meyer You've heard about Python type annotations, but wondered if they're useful in the real world? Worried ...

Speaker: Jiaqi Liu It's one thing to build a robust data pipeline process in python but a whole other challenge to find tooling and ... Speaker: Lisa Roach One of the most challenging and important thing fors for Python developers learn is the unittest mock library. You are maybe like me: I never learned at school how to write I will start of talking about why "working for free" became an important part of the developer culture all around the world and talk ... Speaker: James Bennett At some point every Python programmer sees Python bytecode files -- they're those '.pyc' files Python ...

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PyCon.DE 2018: Testing In Python - The Big Picture - Niklas Meinzer
Test-Driven Development of a Static Code Analyzer in Python - PyCon APAC 2018
Brian Okken, Paul Everitt - Visual Testing with PyCharm and pytest - PyCon 2018
pytest - simple, rapid and fun testing with Python
PyCon.DE 2018: Germany's Next Topic Model - Thomas Mayer
PyCon.DE 2018: Prototyping To Tested Code - Christopher Prohm
Carl Meyer - Type-checked Python in the real world - PyCon 2018
Jiaqi Liu - Building a Data Pipeline with Testing in Mind - PyCon 2018
Nir Arad - Controlling apples with snakes: Automating mobile apps with Appium - PyCon 2018
Lisa Roach - Demystifying the Patch Function   - PyCon 2018
PyCon.DE 2018: Achieving Resilient Code With Integration Tests - Alexandre Figura
PyCon.DE 2018: About Going Open-Source - Tim
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PyCon.DE 2018: Testing In Python - The Big Picture - Niklas Meinzer

PyCon.DE 2018: Testing In Python - The Big Picture - Niklas Meinzer

Any team developing and maintaining software - be it free and open source or commercial - employs one form of software

Test-Driven Development of a Static Code Analyzer in Python - PyCon APAC 2018

Test-Driven Development of a Static Code Analyzer in Python - PyCon APAC 2018

Speaker: Terry Yin, Programmer at Odd-e Static analyzers help us find problems in our code. They are like compilers in terms of ...

Brian Okken, Paul Everitt - Visual Testing with PyCharm and pytest - PyCon 2018

Brian Okken, Paul Everitt - Visual Testing with PyCharm and pytest - PyCon 2018

Speakers: Brian Okken, Paul Everitt Know you should be doing

pytest - simple, rapid and fun testing with Python

pytest - simple, rapid and fun testing with Python

Recorded at

PyCon.DE 2018: Germany's Next Topic Model - Thomas Mayer

PyCon.DE 2018: Germany's Next Topic Model - Thomas Mayer

Identifying topic models for user generated content like hotel reviews turns out to be difficult with the standard approach of LDA ...

PyCon.DE 2018: Prototyping To Tested Code - Christopher Prohm

PyCon.DE 2018: Prototyping To Tested Code - Christopher Prohm

Jupyter notebooks are a great environment to prototype solutions and explore their design. Turning these solutions into reusable ...

Carl Meyer - Type-checked Python in the real world - PyCon 2018

Carl Meyer - Type-checked Python in the real world - PyCon 2018

Speaker: Carl Meyer You've heard about Python type annotations, but wondered if they're useful in the real world? Worried ...

Jiaqi Liu - Building a Data Pipeline with Testing in Mind - PyCon 2018

Jiaqi Liu - Building a Data Pipeline with Testing in Mind - PyCon 2018

Speaker: Jiaqi Liu It's one thing to build a robust data pipeline process in python but a whole other challenge to find tooling and ...

Nir Arad - Controlling apples with snakes: Automating mobile apps with Appium - PyCon 2018

Nir Arad - Controlling apples with snakes: Automating mobile apps with Appium - PyCon 2018

Speaker: Nir Arad

Lisa Roach - Demystifying the Patch Function   - PyCon 2018

Lisa Roach - Demystifying the Patch Function - PyCon 2018

Speaker: Lisa Roach One of the most challenging and important thing fors for Python developers learn is the unittest mock library.

PyCon.DE 2018: Achieving Resilient Code With Integration Tests - Alexandre Figura

PyCon.DE 2018: Achieving Resilient Code With Integration Tests - Alexandre Figura

You are maybe like me: I never learned at school how to write

PyCon.DE 2018: About Going Open-Source - Tim

PyCon.DE 2018: About Going Open-Source - Tim

I will start of talking about why "working for free" became an important part of the developer culture all around the world and talk ...

James Bennett - A Bit about Bytes: Understanding Python Bytecode - PyCon 2018

James Bennett - A Bit about Bytes: Understanding Python Bytecode - PyCon 2018

Speaker: James Bennett At some point every Python programmer sees Python bytecode files -- they're those '.pyc' files Python ...