Unit tests are an important tool to ensure the proper functioning of your application, but writing them can be a chore. Stephan Lukasczyk wants to reduce the monotony of the process for Python developers. As part of his PhD research he created the Pynguin project to automate the creation of unit tests. In this episode he explains the complexity involved in generating useful tests for a dynamic language, how he has designed Pynguin to address the challenges, and how you can start using it today for your own work.
Census is the operational analytics platform that syncs your cloud warehouse with all the SaaS applications used by your Sales, Marketing & Success teams. If you need to get your company data into Salesforce, Marketo, Hubspot, Intercom, Zendesk, and other tools, Census is the easiest way to do so. Just write SQL (or plug in your dbt models), set up the sync frequencies, and voila, your data is now available to be used by all of your teams. No need to worry about incremental sync, backfilling, API quota management, API versioning, monitoring, and maintaining custom scripts. Just SQL. Start your free 14-day trial now.
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Hightouch is the leading Reverse ETL platform. Your data warehouse is your source of truth for customer data. Hightouch syncs this data to the tools that your business teams rely on. Hightouch has a catalog of flexible destinations including Salesforce, HubSpot, Zendesk, NetSuite, and ad platforms like Facebook or Google. Hightouch is built for data engineers and is a natural extension to the modern data stack with out-of-the-box integrations with your favorite tools like dbt, Fivetran, Airflow, Slack, PagerDuty, and DataDog.
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- We’ve all been asked to help with an ad-hoc request for data by the sales and marketing team. Then it becomes a critical report that they need updated every week or every day. Then what do you do? Send a CSV via email? Write some Python scripts to automate it? But what about incremental sync, API quotas, error handling, and all of the other details that eat up your time? Today, there is a better way. With Census, just write SQL or plug in your dbt models and start syncing your cloud warehouse to SaaS applications like Salesforce, Marketo, Hubspot, and many more. Go to pythonpodcast.com/census today to get a free 14-day trial.
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- Your host as usual is Tobias Macey and today I’m interviewing Stephan Lukasczyk about Pynguin, the PYthoN General UnIt test geNerator
- How did you get introduced to Python?
- Can you describe what Pynguin is and the story behind it?
- What are the problems that Pynguin is designed to solve?
- What other projects are you drawing inspiration from?
- What are some of the use cases for automatic test generation?
- How is Pynguin implemented?
- What are the challenges that the dynamic nature of Python introduces?
- What are some of the packages and libraries that have been most helpful while building Pynguin?
- Can you talk through the workflow of using Pynguin to generate tests for a project?
- What are some of the limitations on what kinds of projects Pynguin can be used for?
- What are some design or implementation strategies in the code that you are generating tests for that will help make Pynguin’s job easier?
- Once a test suite has been created, what are the next steps?
- What are some of the initial assumptions or goals of the project that have been revised or challenged once you began implementing it?
- What are the most interesting, innovative, or unexpected ways that you have seen Pynguin used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on Pynguin?
- When is Pynguin the wrong choice?
- What do you have planned for the future of Pynguin?
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- University of Passau
- Passau, Germany
- Walrus Operator
- Bytecode library
- Atheris from Google – coverage-guided fuzzing
- Blog series about “Python behind the scenes”: Ten thousand meters by Victor Skvortsov