Ladder
Unpaywall
Hevy
Tangerine
Fitbod
Ripple
Mailshake
FitOn
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
PythonBased on our record, Python seems to be a lot more popular than Ladder. While we know about 299 links to Python, we've tracked only 3 mentions of Ladder. 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.
Communities like reddit, ladder.to, slack, Facebook groups, Next Door, etc. Source: about 3 years ago
Also, a random tip: there is a community called Ladder (ladder.to) focused towards professional growth which has proved a little helpful to me. Source: over 4 years ago
In terms of professional development, ive benefitted a lot from being able to read and occasionally aks questions on r/cscareerquestions and r/FinancialCareers , but I haven't made long lasting connections on reddit. I've started to use Ladder to ask questions with professional development and it not be anonymous, but the community is still small which has positives and negatives. LinkedIn imo isn't a place for... 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 / 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
Unpaywall - Legally read research papers behind paywalls.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Hevy - Simple workout logging, insightful analytics, and a growing community of gym athletes.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Tangerine - A beautiful full-screen SoundCloud player
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
