Gesamtlänge aller Episoden: 13 days 12 hours 15 minutes
Dramatiq: Fast, Reliable, and Simple Distributed Task Queue for Python 3 (Interview)
Jake Vanderplas: Python Data Science Tools And Best Practices For Academic Research
Asphalt: The Framework For Asynchronous Microservices in Python (Interview)
Golem: Full Featured End-To-End Test Automation Framework in Python (Interview)
Capture, Store, and Analyze Your System Metrics with Python (Interview)
Summary
A relevant and timely recommendation can be a pleasant surprise that will delight your users. Unfortunately it can be difficult to build a system that will produce useful suggestions, which is why this week’s guest, Nicolas Hug, built a library to help with developing and testing collaborative recommendation algorithms...
Summary
With the proliferation of messaging applications, there has been a growing demand for bots that can understand our wishes and perform our bidding. The rise of artificial intelligence has brought the capacity for understanding human language. Combining these two trends gives us chatbots that can be used as a new interface to the software and services that we depend on...
Summary
Understanding what is happening in a software system can be difficult, especially when you have inconsistent log messages. Itamar Turner-Trauring created Eliot to make it possible for your project to tell you a story about how transactions flow through your program. In this week’s episode we go deep on proper logging practices, anti patterns, and how to improve your ability to debug your software with log messages...
Summary
Do you wish that you had a self-driving car of your own? With Donkey you can make that dream a reality. This week Will Roscoe shares the story of how he got involved in the arena of self-driving car hobbyists and ended up building a Python library to act as his pilot. We talked about the hardware involved, how he has evolved the code to meet unexpected challenges, and how he plans to improve it in the future...