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Light Table is recommended for beginners who appreciate immediate feedback while learning to code, as well as for experienced developers looking to prototype new ideas quickly. It is particularly suited for users who favor minimalistic design and those who are working with languages that have strong plugin support in Light Table.
Based on our record, Python seems to be a lot more popular than Light Table. While we know about 300 links to Python, we've tracked only 14 mentions of Light Table. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Having never used the authoring tool, can you point me towards something to model it after? I think a Bret Victor, "Inventing on Principal" style editor would be perfect, combined with some sort of scratch like Python IDE where each element is defined in terms of its reactive behaviors with other elements on a timeline. https://youtu.be/PUv66718DII?t=634 With some http://lighttable.com/. - Source: Hacker News / over 1 year ago
For those like me who have never heard of it, I think OP is referring to this: http://lighttable.com. - Source: Hacker News / about 2 years ago
Http://lighttable.com/ (somewhat tangentially related, I think?) Sorry this is so scattered I need to hit the hay LOL. - Source: Hacker News / over 2 years ago
He's got a point. I'm surprised he didn't mention Light Table. Source: almost 4 years ago
There was a massive amount of excitement around Light Table when it was first announced. I remember one or more pretty amazing videos. I don't have link(s) on-hand though. http://lighttable.com/. - Source: Hacker News / about 4 years ago
> When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / about 1 month ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 4 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 4 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await — no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 5 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - “Save this data” - “Get this data” - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 8 months ago
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