Ray.so
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Based on our record, Python should be more popular than Ray.so. It has been mentiond 299 times since March 2021. 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.
I share code snippets on LinkedIn and Twitter fairly often. Plain screenshots get scrolled past. Ray.so takes the same code and wraps it in a clean dark card with syntax highlighting. The difference in engagement is measurable. Same content, better presentation โ more clicks, more reads, more followers. Best for: Twitter/LinkedIn code posts, portfolio screenshots My go-to theme: Midnight with a dark window... - Source: dev.to / 3 months ago
Then I tried the free classics - Ray.so and Carbon.now.sh. - Source: dev.to / 4 months ago
Turn your code into beautiful, shareable images in seconds. ๐ https://ray.so. - Source: dev.to / 11 months ago
Visit Ray.so, paste your code, and select your preferred settings. - Source: dev.to / almost 2 years ago
Ray.so is a great website for creating beautiful images of code, and there is a community extension that adds a command directly into Raycast to create a snapshot of whatever code you have selected. - Source: dev.to / almost 2 years 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 / about 2 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 / about 2 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 โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 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: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Carbon - Create and share beautiful images of your source code.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Codeimg.io - Create and share images of your source code
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Snappify - snappify is a great tool to create and adjust beautiful code snippets easily.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
