Based on our record, NumPy seems to be a lot more popular than Adalo. While we know about 107 links to NumPy, we've tracked only 3 mentions of Adalo. 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.
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
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
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 / 8 months ago
Yes, I think no-code solution can work easily for this use case. There are no of solutions you can try and see which one fits best in your use case. https://bubble.io, https://drapcode.com, etc works best for web apps. If you need Mobile Apps, then you can try using https://adalo.com or Thunkable/GlideApps etc. - Source: Hacker News / almost 3 years ago
Thanks, but it look so expensive. For mobile app, I still evaluating thunkable.com and adalo.com. Source: almost 3 years ago
After dropping several hints in recent months, AWS finally launched the beta version of Amazon Honeycode, the company’s spanking new rendition of a no-code product. For the longest time, customers of the no-code market segment have turned to brands like bubble.io and adalo.com for quick and engaging app development projects. But with Beta Honeycode now around, it’s interesting to see what tricks AWS has up its... Source: almost 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
OpenCV - OpenCV is the world's biggest computer vision library
Thunkable - Powerful but easy to use, drag-and-drop mobile app builder.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
zeroqode - Build your app up to 10x faster with no-code app templates