How do you create automated tests to check your code for degraded performance as data sizes increase? What are the new features in pandas 3.0? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Reducing the Size of Python Docker Containers | 0 | 6.54 | 05-06-2026 |
| 2 | Automate Exploratory Data Analysis & Invent Python Comprehensions | 0 | 6.46 | 20-03-2026 |
| 3 | Considering Fast and Slow in Python Programming | 0 | 8.17 | 16-01-2026 |
| 4 | Should You Understand Your Entire Python Codebase? | 0 | 8 | 31-07-2026 |
| 5 | Advice on Managing Projects & Making Python Classes Friendly | 0 | 7.46 | 10-04-2026 |
| 6 | Limitations in Human and Automated Code Review | 0 | 5.56 | 27-03-2026 |
| 7 | Managing Polars Schema Issues & Profiling GitHub Users | 0 | 6.85 | 22-05-2026 |
| 8 | Overcoming Testing Obstacles With Python's Mock Object Library | 0 | 6.94 | 27-02-2026 |
| 9 | Becoming a Better Python Developer Through Learning Rust | 0 | 6.78 | 24-04-2026 |
| 10 | Free-Threaded Python's History & uv in Production | 0 | 10.33 | 17-07-2026 |