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NumPy VS Composer

Compare NumPy VS Composer and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Composer logo Composer

Composer is a tool for dependency management in PHP.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Composer Landing page
    Landing page //
    2023-09-19

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

Composer videos

AI vs Human Music Composer 2019 - Orb Composer Review

More videos:

  • Review - Review Composer Cloud from EastWest / Soundsonline.com
  • Review - Behringer Composer PRO-XL MDX2600 Review (AUDIO TEST)

Category Popularity

0-100% (relative to NumPy and Composer)
Data Science And Machine Learning
Development Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Javascript UI Libraries
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Composer

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

Composer Reviews

We have no reviews of Composer yet.
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Social recommendations and mentions

Composer might be a bit more popular than NumPy. We know about 125 links to it since March 2021 and only 108 links to NumPy. 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.

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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Composer mentions (125)

  • 📚 How to see what changed in Composer files
    That's because Composer stores information about all packages that should be installed in composer.lock together with some of their metadata. This helps to manage the dependencies efficiently and browse most information offline but there is currently no built-in way to compare these files when changed. - Source: dev.to / 19 days ago
  • From Beginner to Master: The Path to Becoming a PHP Guru
    Delving into PHP frameworks like Laravel or Symfony is like building a skyscraper, with Composer acting as your "construction foreman," guiding you step by step to ensure your code is robust and awe-inspiring. This stage involves getting familiar with popular PHP frameworks such as Laravel, Symfony, CodeIgniter, etc., and utilizing the functionalities provided by these frameworks to rapidly develop efficient,... - Source: dev.to / 3 months ago
  • Routing implementation using PHP attributes
    In our example application we will manage dependencies via Composer. - Source: dev.to / 3 months ago
  • PHP Authentication: Implementing Access Token
    Our project template is equipped with Composer and an autoload class pre-installed. This inclusion in the repository streamlines the setup process, particularly for this access-token course. Composer, a dependency manager for PHP, simplifies the integration of external libraries and ensures efficient autoloading of classes. It plays a pivotal role in managing project dependencies, enabling developers to focus more... - Source: dev.to / 3 months ago
  • Experience Continuous Integration with Jenkins | Ansible | Artifactory | SonarQube | PHP
    On you Jenkins server, install PHP, its dependencies and Composer tool (Feel free to do this manually at first, then update your Ansible accordingly later). - Source: dev.to / 3 months ago
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What are some alternatives?

When comparing NumPy and Composer, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

jQuery - The Write Less, Do More, JavaScript Library.

OpenCV - OpenCV is the world's biggest computer vision library

React Native - A framework for building native apps with React

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

Babel - Babel is a compiler for writing next generation JavaScript.