Testing with Pytest for Data Science - Ravin Kumar скачать в хорошем качестве

Testing with Pytest for Data Science - Ravin Kumar

PyData LA 2018 Unit Testing isn't just for traditional applications. Testing is useful in data applications as well, from testing assumptions about the underlying structure of information, to testing your knowledge of math libraries. In this tutorial we'll showing you how to use pytest from scratch. By the end you'll know enough to be able to use it in your next project. --- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...