Anania enables users to do instant data analytics by simply asking questions in plain English. The advanced AI technology behind Anania acts like users virtual data assistant. Once integrated with data source, it can understand human questions and automatically analyze and provide an answer in terms of number, text, table or even a chart.
Anania automatically understands the data, its structure, as well as potential set of questions that can be asked on it. Therefore, there will be no manual setup required from the users.
Based on our record, Python seems to be a lot more popular than Anania. While we know about 281 links to Python, we've tracked only 8 mentions of Anania. 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.
Hey everyone. My team has create a ChatGPT style assistant for your data & documents. I would like to receive your feedback and suggestions. Feel free to register and try our free version. https://anania.ai/. Source: 12 months ago
Https://anania.ai - data analysis tool for non tech people. Just connect your business data and ask analytical questions in plain English about that data and get answers instantly. Similar to ChatGPT, but only works based on the connected data and descriptive questions. Source: over 1 year ago
You can try now, it is free! https://anania.ai/. Source: over 1 year ago
In case someone is wondering - The URL seems to be https://anania.ai/. Source: over 1 year ago
Short description about Anania: Anania is a search and AI driven Analytics platform that allows you to get instant answers to your analytical questions. https://anania.ai/. Source: over 1 year 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 / 13 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
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