Summary
We all know that testing is an important part of software and systems development. The problem is that as our systems and applications grow, the amount of testing necessary increases at an exponential rate. Cris Medina joins us this week to talk about some of the problems and approaches associated with testing these complex systems and some of the ways that Python can help.
Brief Introduction
- Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
- I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com
- Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project
- We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com
- Hired has also returned as a sponsor this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus.
- The O’Reilly Velocity conference is coming to New York this September and we have a free ticket to give away. If you would like the chance to win it then just sign up for our newsletter at pythonpodcast.com
- To help other people find the show you can leave a review on iTunes, and tell your friends and co-workers
- Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
- Your hosts as usual are Tobias Macey and Chris Patti
- Today we’re interviewing Cris Medina about test engineering for large and complex systems.
Use the promo code podcastinit20 to get a $20 credit when you sign up!
Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Use the code podcastinit at signup to get a $50 credit!
On Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job.
Interview with Cris Medina
- Introductions
- How did you get introduced to Python? - Chris
- To get us started can you share your definition of test engineering and how it differs from the types of testing that your average developer is used to? - Tobias
- What are some common industries or situations where this kind of test engineering becomes necessary? - Tobias
- How and where does Python fit into the kind of testing that becomes necessary when dealing with these complex systems? - Tobias
- How do you determine which areas of a system to test and how can Python help in that discovery process? - Tobias
- What are some of your favorite tools and libraries for this kind of work? - Tobias
- What are some of the areas where the existing Python tooling falls short? - Tobias
- Given the breadth of concerns that are encompassed with testing the various components of these large systems, what are some ways that a test engineer can get a high-level view of the overall state? - Tobias
- How can that information be distilled for presentation to other areas of the business? - Tobias
- Could that information be used to provide a compelling business case for the resources required to test properly? - Chris
- Given the low-level nature of this kind of work I imagine that proper visibility of the work being done can be difficult. How do you make sure that management can properly see and appreciate your efforts? - Tobias
Keep In Touch
Picks
- Tobias
- Chris
- Cris
- CherryPy
- Etcd
- Thinking Fast And Slow by Daniel Kahneman
- Spain
Links
- Behave
- Pytest BDD
- Hypothesis
- Episode XX - Hypothesis
- Flask
- CherryPy
- Django
- Pandas
- NumPy
- Celery
- Bokeh
- Vincent
- Toga
- D3 Sunburst
- D3 Chord Diagrams
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
Summary We all know that testing is an important part of software and systems development. The problem is that as our systems and applications grow, the amount of testing necessary increases at an exponential rate. Cris Medina joins us this week to talk about some of the problems and approaches associated with testing these complex systems and some of the ways that Python can help.Brief IntroductionHello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.comLinode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next projectWe are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry's real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.comHired has also returned as a sponsor this week. If you're looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus.The O'Reilly Velocity conference is coming to New York this September and we have a free ticket to give away. If you would like the chance to win it then just sign up for our newsletter at pythonpodcast.comTo help other people find the show you can leave a review on iTunes, and tell your friends and co-workersJoin our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.Your hosts as usual are Tobias Macey and Chris PattiToday we're interviewing Cris Medina about test engineering for large and complex systems. Use the promo code podcastinit20 to get a $20 credit when you sign up! Stop hoping your users will report bugs. Sentry's real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Use the code podcastinit at signup to get a $50 credit! On Hired software engineers designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job.Interview with Cris MedinaIntroductionsHow did you get introduced to Python? - ChrisTo get us started can you share your definition of test engineering and how it differs from the types of testing that your average developer is used to? - TobiasWhat are some common industries or situations where this kind of test engineering becomes necessary? - TobiasHow and where does Python fit into the kind of testing that becomes necessary when dealing with these complex systems? - TobiasHow do you determine which areas of a system to test and how can Python help in that discovery process? - TobiasWhat are some of your favorite tools and libraries for this kind of work? - TobiasWhat are some of the areas where the existing Python tooling falls short? - TobiasGiven the breadth of concerns that are encompassed with testing the various components of these large systems, what are some ways that a test engineer can get a high-level view of the overall state? - TobiasHow can that information be distilled for presentation to other areas of the business? - TobiasCould