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Promo Instant Image Resizer VS NumPy

Compare Promo Instant Image Resizer VS NumPy and see what are their differences

Promo Instant Image Resizer logo Promo Instant Image Resizer

Automatically optimize images for web & social media (free!)

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Promo Instant Image Resizer Landing page
    Landing page //
    2022-08-02
  • NumPy Landing page
    Landing page //
    2023-05-13

Promo Instant Image Resizer videos

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NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Promo Instant Image Resizer and NumPy)
Design Tools
100 100%
0% 0
Data Science And Machine Learning
Image Optimisation
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

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NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Promo Instant Image Resizer. While we know about 108 links to NumPy, we've tracked only 4 mentions of Promo Instant Image Resizer. 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.

Promo Instant Image Resizer mentions (4)

  • ang pangarap kong bukas...
    Not sure what image size on FB you need pero try mo magresize here. May edit function to zoom-crop into the section you want. Source: almost 2 years ago
  • Top Skills To Become a Tech Blogger
    To design your images, you can use Canva, paired with an Image Resizer if you don't have access to Canva Pro and need to tweak the size of the picture. - Source: dev.to / about 2 years ago
  • How to resize images on Windows 10
    Have you tried online tools like https://promo.com/tools/image-resizer? Source: over 2 years ago
  • How to resize images to exact measurements
    Not sure how to do it in photoshop but you can try this free tool to do just that. LMK if it works for you. https://promo.com/tools/image-resizer/. Source: over 2 years ago

NumPy mentions (108)

  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    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
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    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
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
  • A Comprehensive Guide to NumPy Arrays
    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
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What are some alternatives?

When comparing Promo Instant Image Resizer and NumPy, you can also consider the following products

Piio - Generates responsive images so you don't have to optimize

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

Pixel­hunter.io - Free AI image resizing tool for social media

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.