Writesonic
Copy.ai
Jasper.ai
Rytr
ChatGPT
Copysmith
Anyword
ChatSonic
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
WritesonicBased on our record, NumPy should be more popular than Writesonic. It has been mentiond 109 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.
If that's the criteria, then fair, but AIMD produces articles that are virtually indistinguishable from what an average copywriter would compose if you hired them. AIMD is very different from your typical article generators (like https://writesonic.com/, which good God I don't know why anyone would use, but they are doing good, so good for them) that is just spinning out... - Source: Hacker News / 5 months ago
In principle, I agree with you. I spent a lot of time thinking about this subject and it boils down to: I can try to do this in such a way that creates the best possible outcome or I can wait for someone else to do it in such a way that makes it worse for everyone. Take something like https://writesonic.com/ as an example. It is backed by Y Combinator and claims to have 5M+... - Source: Hacker News / 7 months ago
Finally, I stopped at those three main list tools: WriteSonic, CopyAI, and Jasper. And two additional ones, which are Gocharlie and MarketOwl. Source: 9 months ago
2. Writesonic Writesonic is another popular AI writing tool that can help you generate text for a variety of purposes, including blog posts, articles, product descriptions, and social media posts. Writesonic is a great tool for anyone who needs to create high-quality content quickly. Writesonic.com. Source: 11 months ago
Writesonic - Haven't used this one myself either but I've heard some good things about it. But I'm no expert in this topic. I don't personally like using AI for writing (I mostly use it for formatting or researching etc.) (One of My Favorites). Source: 11 months ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 1 day ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
Copy.ai - We have created the world's most advanced artificial intelligence copywriter that enables you to create marketing copy in seconds!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Jasper.ai - The Future of Writing Meet Jasper, your AI sidekick who creates amazing content fast!
OpenCV - OpenCV is the world's biggest computer vision library
Rytr - Rytr is an AI-powered writing tool that helps you create high-quality content, in just a few seconds, at a fraction of the cost!
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.