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NumPy

Fundamental package for scientific computing with Python
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What is NumPy?

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
NumPy is a tool in the Data Science Tools category of a tech stack.
NumPy is an open source tool with 13.9K GitHub stars and 4.6K GitHub forks. Here’s a link to NumPy's open source repository on GitHub

Who uses NumPy?

Companies
118 companies reportedly use NumPy in their tech stacks, including Instacart, Ruangguru, and Tokopedia.

Developers
445 developers on StackShare have stated that they use NumPy.

NumPy Integrations

Python, Ludwig, Dask, Streamlit, and Theano are some of the popular tools that integrate with NumPy. Here's a list of all 9 tools that integrate with NumPy.
Private Decisions at about NumPy

Here are some stack decisions, common use cases and reviews by members of with NumPy in their tech stack.

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big data analysis NumPy

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Andrea Catalucci
Andrea Catalucci
Software Developer at Unruly · | 1 upvotes · 0 views
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NumPyNumPy

Number crunching NumPy

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Nough You
Nough You
Senior Research Engineer at Prattle · | 1 upvotes · 0 views
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NumPyNumPy

Fast array operations. NumPy

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NumPyNumPy

Fast Numeric Processing NumPy

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Public Decisions about NumPy

Here are some stack decisions, common use cases and reviews by companies and developers who chose NumPy in their tech stack.

Tuhin Sinha
Tuhin Sinha
at Vital Labs, Inc · | 1 upvotes · 5.4K views
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NumPyNumPy
at

We utilize NumPy, SciPy, Pandas, and iPython Notebooks to power our analysis and analytics tools. NumPy

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NumPy's Features

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • tools for integrating C/C++ and Fortran code
  • useful linear algebra, Fourier transform, and random number capabilities

NumPy Alternatives & Comparisons

What are some alternatives to NumPy?
MATLAB
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
R Language
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
SciPy
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Panda
Panda is a cloud-based platform that provides video and audio encoding infrastructure. It features lightning fast encoding, and broad support for a huge number of video and audio codecs. You can upload to Panda either from your own web application using our REST API, or by utilizing our easy to use web interface.<br>
See all alternatives

NumPy's Followers
459 developers follow NumPy to keep up with related blogs and decisions.
Fatema Mouri
Charles Achilefu
Devesh Tarasia
Bogdan Doicin
Jeff Kranski
Nathan de Moura Vieira
B Johnson
Lucas Lejeune
RAHUL SHARMA
泽 于