#Python

#Python

ctx = canvas.getContext("2d") URL = "/blog/floodfill-algorithm-in-python/_python.txt" async def load_bitmap(url: str) -> list[list[int]]: # Fetch the text file from the URL response = await fetch(url) text = await response.text() bitmap: list[list[int]] = [] for line in text.splitlines(): line = line.strip() if not line: continue row = [int(ch) for ch in line if ch in "01"] if row: bitmap.append(row) return bitmap

I'm excited to announce that me and Audrey will be visiting Japan from November 12 to November 24, 2025! This will be our first time in Japan, and we can't wait to explore Tokyo. Yes, we'll be in Tokyo for most of it, near the Shinjuku area, working from coffee shops, meeting some colleagues, and exploring the city during our free time.

Here's the task. I want to create a class to represent a track and field event held in a competition. This entry allows you to enter the raw results as reported by the officials-the athlete's bib number and the time they clocked in a race. It then computes the event's full results. There's more we could add to make this class more complete. But I won't. You can create a list of athletes that are competing in the track and field meeting:

If you spend long enough in the programming world, you'll come across the term singleton at some point. And if you hadn't seen this term yet, well, now you have! In Python, you don't need singleton classes. Almost never. But creating one is a great exercise in understanding how Python creates objects. And discussing alternatives to a singleton class helps you explore other aspects of Python.

Linting is essential to writing clean and readable code that you can share with others. A linter, like Ruff, is a tool that analyzes your code and looks for errors, stylistic issues, and suspicious constructs. Linting allows you to address issues and improve your code quality before you commit your code and share it with others. Ruff is a modern linter that's extremely fast and has a simple interface, making it straightforward to use.

>>> from pathlib import Path >>> [x.name for x in Path('.').iterdir()] ['avocado.jpg', 'kiwifruit.jpg', 'lemon.jpg', 'apple.jpg', 'strawberry.jpg', 'rename-images.py', 'orange.jpg']