Собрали в одном месте самые важные ссылки
читайте нас в Twitter
What can you learn from feeding an entire book on Python programming into ChatGPT-4 and asking it to provide a technical review? What are the potential pitfalls of using an LLM as a learning tool? This week on the show, author Al Sweigart talks about his recent experiments using ChatGPT and Python.
How can you improve a classification model while avoiding overfitting? Once you have a model, what tools can you use to explain it to others? This week on the show, we talk with author and Python trainer Matt Harrison about his new book Effective XGBoost: Tuning, Understanding, and Deploying Classification Models.
What principles should you consider when designing a Python library? How do you construct a library API that's understandable and easy to use? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.
How much Python do you need to learn to start creating projects? What's a good balance of information and hands-on practice? This week on the show, Eric Matthes is here to discuss his book Python Crash Course.