DeepL Translator
Google Translate
Microsoft Translator
LibreTranslate
Crowdin
Localazy
Weglot
Reference.com
Python
JavaScript
Java
C++
Rust
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PHP
Elixir
PythonBased on our record, Python seems to be a lot more popular than DeepL Translator. While we know about 299 links to Python, we've tracked only 15 mentions of DeepL Translator. 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.
Add "on" to the end of this question and it will be properly written. Use deepl.com/translator and deepl.com/write to help you out with English writing and avoid forms that are too colloquial ("wanna"). Source: about 3 years ago
I suggest you to explain the problem in your words (and native language) and translate it in english with https://deepl.com/translator. Source: over 3 years ago
Also if you find German ressources, use deepl.com/translator to translate the content. Source: over 3 years ago
That's objectively not true, it's much better than it used to be. Deepl is generally better for some languages though. Source: almost 4 years ago
You could try this one everywhere: https://deepl.com/translator Best translator so far fmpov. Source: almost 4 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
Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Microsoft Translator - Microsoft Translator is your door to a wider world.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
LibreTranslate - LibreTranslate is a free and open-source and self-hostable machine translation server. It also has a public instance designed for personal or infrequent use.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
