Exercise.com
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Python
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Exercise.com PythonBased on our record, Python seems to be a lot more popular than Exercise.com. While we know about 299 links to Python, we've tracked only 4 mentions of Exercise.com. 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.
If you don't use exercise.com what do you use? Source: over 3 years ago
These are all features that the exercise.com should offer...... But they don't. Source: almost 4 years ago
It doesn't seem that severe tbh. They payed quite some cash for him to come work for them at exercise.com, another website they were developing at the time and he dropped out after 9 months to work full-time on Lichess. Some grudges were held but this was not about either website and it was a long time ago. Source: about 4 years ago
In short: Erik Allebest hired me to work on exercise.com, after I had started working on Lichess. I never had access to any code or intel from chess.com. I left exercise.com to work for startups unrelated to chess for 6 years, before Lichess hired me as full-time dev. Source: about 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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JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
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Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
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C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
