What is NumPy?

Quick and versatile, the principles of vectorization, indexing, and broadcasting in NumPy have established themselves as the standard for modern array computations. This robust library offers a comprehensive suite of mathematical functions, random number generation tools, linear algebra operations, Fourier transformations, and much more. NumPy's compatibility with a wide range of hardware and computing platforms allows it to work effortlessly with distributed systems, GPU libraries, and sparse array structures. At its foundation, NumPy is constructed with highly optimized C code, enabling users to benefit from the speed typical of compiled languages while still enjoying the flexibility provided by Python. The intuitive syntax of NumPy enhances its user-friendliness and efficiency for programmers of all levels and expertise. By merging the computational power of languages such as C and Fortran with Python’s approachability, NumPy streamlines complex processes, leading to solutions that are both clear and elegant. As a result, this library equips users to confidently and easily address a diverse array of numerical challenges, making it an essential tool in the world of data science and numerical analysis. Furthermore, the active community around NumPy continuously contributes to its development, ensuring that it remains relevant and powerful in the face of evolving computational needs.

Pricing

Price Starts At:
Free
Free Version:
Free Version available.

Integrations

Offers API?:
Yes, NumPy provides an API
All NumPy Integrations
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Screenshots and Video

NumPy Screenshot 1
NumPy Screenshot 1

Company Facts

Company Name:
NumPy
Company Website:
numpy.org

Product Details

Deployment
Windows
Mac
Linux
Training Options
Documentation Hub
Video Library
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

NumPy Categories and Features

Component Libraries

NumPy Customer Reviews

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  • Reviewer Name: A Verified Reviewer
    Position: Principal Software Engineer
    Has used product for: 6-12 Months
    Uses the product: Daily
    Org Size (# of Employees): 100 - 499
    Feature Set
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    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Excellent Python math library

    Date: Aug 03 2022
    Summary

    NumPy is an essential part of the Python ecosystem. It provides a huge variety of mathematical functions in a very performant library for free.

    Positive

    - used for scientific computing
    - huge variety of mathematical functions, random number generators, etc.
    - supports a wide variety of hardware and GPU acceleration
    - very fast code that runs in C, despite working with Python
    - simple syntax makes it easy to learn
    - good documentation
    - free and open source

    Negative

    - there aren't many cons to using NumPy; it's a mainstay of the Python computing community for a reason

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