Uploadcare
Filestack
Cloudinary
Uppy
Cyberduck
Igloo Software
Uploader Window
Cloudimage
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Uploadcare is file management platform and a CDN for user-generated content. It is a robust file API for uploading, managing, processing, rendering, optimizing and delivering users’ content.
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Uploadcare's answer
Uploadcare's answer
While Uploadcare products have been disrupting the traditional content delivery market since 2011, the company has now become a reliable technologicalpartner in marketplaces, e-commerce, e-learning, SaaS, and healthcare industries.
Uploadcare's answer
The platform fits the developers' needs, from building passion projects and simple websites to large-scale applications managing tons of digital media.
Based on our record, NumPy seems to be a lot more popular than Uploadcare. While we know about 107 links to NumPy, we've tracked only 9 mentions of Uploadcare. 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.
Feel free to learn more about Uploadcare, and explore other tutorials, such us how to upload files with React or Angular, or considering what kind of magic you can do with the uploaded images following our extracting colors guide 🎨. - Source: dev.to / 10 months ago
Sign up for an Uploadcare account: Go to the Uploadcare website and sign up for an account. You will need to provide your email address and create a password. - Source: dev.to / over 1 year ago
Only answer: Https://uploadcare.com/. Source: almost 2 years ago
Side note, https://uploadcare.com/ looks pretty reasonably priced? Source: almost 2 years ago
Some good file storage for web, like this: https://uploadcare.com/. Source: about 2 years 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
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
Filestack - Simple file uploader and robust APIs for uploading, transforming, and delivering any file into your app. Filestack is a collection of tools and powerful APIs that make it simple to upload, transform, and deliver content.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
OpenCV - OpenCV is the world's biggest computer vision library
Uppy - The next open source file uploader for web browsers
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
