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NumPy

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 Development & Training Tools category of a tech stack.

Key Features

Powerful n-dimensional arraysNumerical computing toolsInteroperablePerformantEasy to use

NumPy Pros & Cons

Pros of NumPy

✓Great for data analysis
✓Faster than list

Cons of NumPy

No cons listed yet.

NumPy Integrations

Ludwig, PyXLL, Chainer, Dask, Faust and 7 more are some of the popular tools that integrate with NumPy. Here's a list of all 12 tools that integrate with NumPy.

NumPy Discussions

Discover why developers choose NumPy. Read real-world technical decisions and stack choices from the StackShare community.Showing 1 of 5 discussions.

Tuhin Sinha

Sep 8, 2015

Needs adviceon

NumPy

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

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NumPy Alternatives & Comparisons

What are some alternatives to NumPy?

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.

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.

Anaconda

A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.

Dataform

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Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

PySpark

It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.

Pentaho Data Integration

It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.

NumPy Integrations

Ludwig, PyXLL, Chainer, Dask, Faust and 7 more are some of the popular tools that integrate with NumPy. Here's a list of all 12 tools that integrate with NumPy.