Gumlet
Cloudimage
ImageKit.io
Cloudinary
ShortPixel
Sirv
imgix
Pixelhunter.io
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Gumlet Video streamlines the process of uploading, transcoding, optimizing, hosting, and analyzing videos, enabling rapid streaming to vast audiences. Gumlet Image Optimization enhances website speed, responsiveness, user experience (UX), and search engine optimization (SEO).
Gumlet is loved by 8000+ businesses and start-ups and delivers over 1.5 Billion media files daily. With an average optimization rate of 54%, Gumlet offers an exceptional video and media experience for users across websites and applications.
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Image loads fast, im impressed with the speed and ease of installation. I have successfully deployed them on afew of my websites and it improves my overall loading speed.
Gumlet is a wonderful little tool that I use for optimising your images and thus your website loading speeds. We use it for our work (and client projects) and it works very well!
Pros: - Inbuilt CDN - Easy integration with Wordpress - on-the-fly image manipulation is awesome - Supports CNAME now!
Cons: - Missing some smart (AI-like) image manipulation features that Cloudinary has like Smart/Face-cropping for example. Would love to have those!
Gumlet is easy to implement and instantly improves the performance of your site. I compared to other providers and was happy to see that it outperforms the competition
Based on our record, NumPy seems to be more popular. It has been mentiond 107 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.
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
Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ImageKit.io - Instant multi-platform image optimization
OpenCV - OpenCV is the world's biggest computer vision library
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.