rasa.io VS Python
Compare rasa.io VS Python and see what are their differences
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Our newsletters engage your customers through curated content and help build relationships. We give businesses a way to provide a real benefit regularly for everyone on their email list. And not just regularly, but relevantly. Through automation, businesses can engage with a new level of frequency without having to spend more time, effort or money.
rasa.io sends an individualized and completely custom newsletter to each one of your subscribers, every time you send.
You choose the sources and the topics, and rasa.io handles the rest. Artificial Intelligence collects and sifts through the new articles from your chosen sources to curate only the most relevant content for your newsletter.
Articles are then filtered and designated to be sent to each different subscriber based on their own unique interests. Every reader gets only the content they like and they get it from you.
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Based on our record, Python seems to be more popular. It has been mentiond 280 times since March 2021. 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.
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 / 4 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 / 4 months ago
When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago
SendOut - Affordable email marketing for bloggers and influencers
Rust - A safe, concurrent, practical language
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JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
MailGet - Super affordable Email marketing via Amazon SES
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
