
30 seconds of code
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30 seconds of code
PythonBased on our record, Python seems to be a lot more popular than 30 seconds of code. While we know about 299 links to Python, we've tracked only 6 mentions of 30 seconds of code. 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.
You could also check out: 1. 30 seconds of code 2. JavaScript30 3. JavaScript Algorithms. Source: over 3 years ago
๐ a quick reference with short solutions for your development needs in javascript -> 30-seconds-of-code. - Source: dev.to / over 3 years ago
Hello everyone, my name is Thanh Cong Van, my friends usually call me Steven as my Vietnamese name is hard to pronounce. I am living in Toronto, due to the pandemic, I believe that some of my peers are living in different place right now. I am currently taking Computer Programming and Analysis at Seneca, all I want from my program is to have good skills on front-end development. People tend to love full stack... - Source: dev.to / almost 5 years ago
The GitHub repo, I have interest in is "30 seconds of code" [https://github.com/30-seconds/30-seconds-of-code]. It is a website which provides short JavaScript code snippets for users. I find it very helpful for me when I work on my project later on. - Source: dev.to / almost 5 years ago
For my forked repo, I picked the 30-seconds-of-code (https://github.com/30-seconds/30-seconds-of-code). Itโs a repo with short snippets of JavaScript code to help people coding in JavaScript. Very useful for people like me that are always learning something and trying different things. - Source: dev.to / almost 5 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
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C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation