Question 1

What is the source of this data?

Accepted Answer

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

Question 2

How often is the data updated?

Accepted Answer

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

Question 3

What is NumPy?

Accepted Answer

NumPy short for Numerical Python is a fundamental package in Python that is widely used for scientific computing It provides support for large multidimensional arrays and matrices along with a collection of mathematical functions to operate on these arrays NumPys main feature is its efficient implementation of mathematical functions making it an essential tool for tasks such as linear algebra Fourier transforms and random number capabilities

In the realm of Data Science Tools NumPy plays a crucial role in data manipulation analysis and visualization It serves as the backbone for many other libraries and frameworks in the data science ecosystem due to its high performance and ease of use NumPy arrays are used in various applications including machine learning algorithms statistical analysis image processing and more

NumPy was first created in 2005 by Travis Oliphant with the motivation to provide a powerful array processing capability to Python bridging the gap between numeric computing and a generalpurpose programming language Since then NumPy has gained immense popularity and has become a cornerstone in the Python data science and scientific computing communities

Currently NumPy holds a significant market share within the Data Science Tools category largely due to its widespread adoption and robust functionality With the increasing demand for datadriven solutions in various industries the market share of NumPy is expected to continue growing in the foreseeable future Its versatility performance and extensive library of functions make NumPy a preferred choice for data scientists researchers and developers working on numerical computations and data analysis tasks

Question 4

How to get an updated list of companies that use NumPy?

Accepted Answer

You can access an updated list of companies using NumPy by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does NumPy have?

Accepted Answer

As of now, we have data on 29,081 companies that use NumPy.

Question 6

Who uses NumPy?

Accepted Answer

NumPy is used by a diverse range of organizations across various industries, including "Software Development", "Technology, Information and Internet", "Technology, Information and Internet", "IT Services and IT Consulting", "Motor Vehicle Manufacturing", "IT Services and IT Consulting", "Research Services", "Staffing and Recruiting", "IT Services and IT Consulting", "Software Development". For a comprehensive list of all industries utilizing NumPy, please visit TheirStack.com.

Question 7

What companies use NumPy?

Accepted Answer

Some of the companies that use NumPy include Amazon, Dice, TieTalent, Capgemini, Tesla, Amazon Web Services (AWS), Fraunhofer-Gesellschaft, Client Server, CGI, Blue Yonder and many more. You can find a complete list of 29,081 companies that use NumPy on TheirStack.com.

Question 8

In which countries NumPy is used the most?

Accepted Answer

Based on our data, NumPy is most popular in United States (7,231 companies), United Kingdom (1,723 companies), India (1,092 companies), France (735 companies), Germany (590 companies), Canada (581 companies), Spain (513 companies), Brazil (372 companies), Netherlands (284 companies), Switzerland (199 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use NumPy?

Accepted Answer

You can find companies using NumPy by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

Companies that use NumPy

How to target NumPy users

NumPy alternatives and competitors

Grafana

Mode

Pandas

PySpark

Qlik

Einblick

Neo4j

Shiny

Metabase

i-DOCS

Tableau Desktop

Dataiku

Superset

Dask

Splunk Enterprise

KNIME

Chart.Js

Tableau Prep

Celonis

Denodo

Brancher

Weave

Hue

Charted

i-net

SAS Visual Analytics

Oracle Business Intelligence Enterprise Edition

Redash

Bokeh

Pentaho Data Integration

erwin Data Modeler

Tableau Online

Data Miner

SAS/Graph

Metaflow

Deck.gl

D3js

Analytica

Facette

BigPicture

Elastic Kibana

Burt

Piktochart

Tableau Public

Kumu

amCharts

Enso

SAS Data Integration Studio

Gephi

Displayr

NumPy customers by country

United States

United Kingdom

India

France

Germany

Canada

Spain

Brazil

Netherlands

Switzerland

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is NumPy?

What is NumPy?

How to get an updated list of companies that use NumPy?

How to get an updated list of companies that use NumPy?

How many customers does NumPy have?

How many customers does NumPy have?

Who uses NumPy?

Who uses NumPy?

What companies use NumPy?

What companies use NumPy?

In which countries NumPy is used the most?

In which countries NumPy is used the most?