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Based on our record, NumPy seems to be a lot more popular than Optimage. While we know about 108 links to NumPy, we've tracked only 5 mentions of Optimage. 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.
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months 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
I use the one https://optimage.app/. Source: 11 months ago
Optimage is a batch image compression/resize app that I use to standardise images sent to me by clients for their website. Source: over 1 year ago
I’ve found Optimage to work better, at least for me. Source: over 1 year ago
I have something like this myself setup to automatically optimize new screenshots using Optimage ($15), but I should be able to walk you through the steps, as everything you need is built into Mac. Source: almost 2 years ago
I personally swear by Optimage. Although its primary function is images, it also does video. It is fast and it has a very generous free offering (24 files per day). It doesn't have many options, but to me, that's a feature, not a bug. 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.
ImageOptim - Faster web pages and apps.
OpenCV - OpenCV is the world's biggest computer vision library
Caesium Image Compressor - Compress your pictures up to 90% without visible quality loss.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
TinyPNG - Make your website faster and save bandwidth. TinyPNG optimizes your PNG images by 50-80% while preserving full transparency!