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Based on our record, Python seems to be a lot more popular than Landing.jobs. While we know about 299 links to Python, we've tracked only 12 mentions of Landing.jobs. 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.
Https://landing.jobs/ No affiliation but they talked with me long time ago. They take upon themselves to perform the first screeningโฆ looks like something smaller startups could take advantage of. I am not sure how good they are. - Source: Hacker News / 4 months ago
Then go here http://landing.jobs and start applying, I got both my jobs in Portugal from here. Source: about 3 years ago
Try landing.jobs do not give up....i did it you can too. Source: about 3 years ago
I would recommend landing.jobs but its mostly portugal based. Source: over 3 years ago
A lot of great suggestions here. Thought I might add a few as well: 1. If possible, filters like "Full-time/Part-time/Contract/Internship" 2. Salary filters. This might be tricky because the majority of postings don't contain the salary information upfront. 3. Would it be possible for you to source from job aggregators like "weworkremotely.com", remotive.io, landing.jobs, startup.jobs,. Source: over 3 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 / 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 / 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
Remotive - The #1 site for remote jobs. Time to work from home!
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Remote OK - The biggest remote job board on the web
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
WeWorkRemotely - Find the most qualified people in the most unexpected places: Hire remote! We Work Remotely is the best place to find and list remote jobs that aren't restricted by commutes or a particular geographic area. Browse thousands of remote work jobs today.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
