Copysmith VS NumPy

Copysmith Reviews

1. Faiyjul Kabir R

   | Digital Marketing Specialist at KX Gym | over 1 year ago
   Solid Tool

   There isn't much I can say about Copysmith that is bad. The service to help content makers and marketers is plainly marketed, and that is exactly what the produce does. I'd want to see some capabilities for filtering results, for transferring information produced by one template to another, and for adding new templates. I'm quite happy with this service overall. Their software is straightforward and simple to use, and the cost is reasonable for the capabilities they offer. I also appreciate how active they attempt to be in their consumer base. They pay attention to customer feedback and are cognizant of system faults.

   I have high hopes for Copysmith's next releases since I utilise a service from a firm that recognises improvements may be made while still providing excellent results.

NumPy Reviews

Copysmith mentions (4)

• Pioneering AI Content Creation: Must Know Tools Every Creator Needs

  Copysmith (now with their E-commerce producrt Describely), tailored for brands and businesses, is a powerhouse of AI content creation. With over 30 diverse templates, ranging from Facebook Ad copy to Event Press Releases. Yt’s a tool that understands the varied content needs of today’s digital landscape. - Source: dev.to / 9 months ago

• Thoughts about copywriting tools?

  I think it's an app? It's actually copysmith.ai. I didn't post the link because for some reason it gets auto removed. Source: almost 3 years ago

• Young Entrepreneur Looking for Advice

  Text Generation Companies using GPT-3 Https://copysmith.ai/ Https://rytr.me/ Https://www.conversion.ai/. Source: almost 3 years ago

• 🚀 Framework: Strapping yourself to the back of someone else's rocket

  Many tools with similar features are doing really well, including Conversion.ai and Copysmith.ai. Source: almost 3 years ago

NumPy mentions (107)

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 2 months ago

• JSON in data science projects: tips & tricks

  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 / 2 months ago

• Introducing Flama for Robust Machine Learning APIs

  Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago

• A Comprehensive Guide to NumPy Arrays

  Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago

• Beginning Python: Project Management With PDM

  A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago