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Based on our record, Python seems to be a lot more popular than DMARCLY. While we know about 281 links to Python, we've tracked only 2 mentions of DMARCLY. 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.
I use dmarcly.com. How much you'll spend depends on your monthly mail volume, but they're one of the less expensive vendors I've seen. Source: about 2 years ago
Using dmarcly.com SPF record checker was very interesting, thank you! I'll also check out the resource you linked me - I have a whole bookmark folder full of them, but this one seems very good and informative, thanks! If you're not terribly bored by me, would you mind answering more questions in the future? Admittedly this whole thing has me rather stressed and you're the first source I find that doesn't make me... Source: about 3 years 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 / 7 days 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 / 3 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 / 4 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 / 5 months ago
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 5 months ago
dmarcian - Safeguard your email from abuse
Rust - A safe, concurrent, practical language
PowerDMARC - Stop hackers to send emails from your domain
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
EasyDMARC - Cloud Native DMARC
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions