Localize is a no-code translation solution for SaaS platforms, allowing you to easily translate your web app, dashboard, API docs, and much more. With traditional solutions - as well as building it in-house - it could take months to offer multilingual support to users. With Localize, you can translate your SaaS platform in just hours - allowing you to expand into new markets and delight customers around the globe.
Enterprise SaaS brands like Cisco, Intuit, Atlassian, Afterpay, Discord, and Canva use Localize to easily translate their platforms and provide great user experiences to all customers.
Based on our record, Python seems to be a lot more popular than Localize. While we know about 282 links to Python, we've tracked only 3 mentions of Localize. 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.
There are definitely i18n solutions to problems like this, but have you looked at an agent based solution such as https://localizejs.com? We used it for a project at work and it’s actually a surprisingly robust way to deal with translation by separating language management from development effort. Source: almost 3 years ago
I run a company called Localize (https://localizejs.com). I’d love to speak to anyone with a background like yours for a PM or technical role with us. There’s no experience better than starting and failing at startups/side projects to prepare yourself for a Product Management role. brandon@localizejs.com. - Source: Hacker News / almost 3 years ago
Localize | https://localizejs.com | REMOTE (US / Canada) | Full-time | Backend & Full Stack Engineers We're hiring Full-Stack Engineers to join our remote-first team. As a core member of our engineering team, you’ll be responsible for implementing new functionality within Localize’s core product, maintaining existing code and functionality, and improving existing systems for maintainability, scalability, and... - Source: Hacker News / about 3 years ago
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 5 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 1 month ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 5 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 6 months ago
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