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Based on our record, NumPy seems to be a lot more popular than PUBLIC APIs UI. While we know about 107 links to NumPy, we've tracked only 3 mentions of PUBLIC APIs UI. 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.
Public-api Github Repo : https://github.com/public-apis/public-apis Rapid API : https://rapidapi.com/collection/list-... API House : https://apihouse.vercel.app/ Free APIs: https://free-apis.github.io/#/ Dev Resources : https://devresourc.es/tools-and-utili... AnyApi: https://any-api.com/ Public Apis : https://public-apis.io/ API List : https://apilist.fun/ Public APIs: https://public-apis.xyz/ Public... - Source: dev.to / about 1 year ago
APIs are everywhere and there are all kinds. There is a Star Wars API and a number facts API. Large companies like Facebook have APIs. Here is a collection of a bunch of other APIs. Whatever you're looking for, there is probably an API for it. Once you use a few you realize that they all operate pretty much the same way, with maybe a few idiosyncrasies. You'll need to understand http requests and asynchronous... - Source: dev.to / over 2 years ago
Https://public-apis.xyz/ Check these out though. Source: over 2 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 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 / 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 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 / 6 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 / 7 months ago
The Unsplash API - No-limits, do-what-you-want API for access to 200K+ HD pics.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
API List - A collective list of APIs. Build something.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
APIsentris - Build APIs instantly from MySQL, PostgreSQL, Google BigQuery and more
OpenCV - OpenCV is the world's biggest computer vision library