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Based on our record, Python seems to be a lot more popular than StatusPage.io. While we know about 299 links to Python, we've tracked only 10 mentions of StatusPage.io. 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.
That would indicate that they would not even use the automated checks from statuspage.com. Source: over 3 years ago
Shows service health, incident updates under categories like statuspage.io does? Source: over 4 years ago
That still means the back-up method requires AWS services to be up. AWS is blessed with an interesting problem: using AWS is widespread enough that it would be hard for them to guarantee a third-party hosting their status page did not depend on them in some way. For 99.999% of companies, buying a SaaS like statuspage.io is sufficient to make sure your downtime doesn't take down your status page provider. - Source: dev.to / over 4 years ago
I signed up for reports from statuspage.io which tends to spam me with network updates, but I like to see that that they are really working on it from hour to hour so I'm happy to get the spam. It's just ironic that I posted this and got the API issues email within minutes. Source: over 4 years ago
We setup a statuspage.io account a year back or so and push some aggregated metrics to indicate current service/system status. Best part is we can post updates to any outage / issue and it gets mailed to anyone who subscribed. Source: 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 / 3 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 / 3 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 / 4 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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JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
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