Question 1

这些数据的来源是什么?

Accepted Answer

我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。

Question 2

数据多久更新一次?

Accepted Answer

我们每天更新数据，以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。

Question 3

什么是Dask?

Accepted Answer

Dask is a flexible parallel computing library in Python that enables seamless execution of complex computations It provides advanced parallel and distributed computing capabilities to tackle tasks that involve large datasets thus making it an essential tool for data scientists and engineers Dask allows users to scale their dataintensive applications from a single machine to a cluster of machines effectively managing the distribution of workloads and optimizing performance

In the realm of Data Science Tools Dask falls under the category of distributed computing frameworks Its primary focus is on enabling efficient parallel processing of data making it particularly valuable for tasks like data manipulation machine learning model training and largescale data analysis By leveraging Dask users can overcome the limitations of traditional singlenode computing and explore new possibilities in handling big data workloads with ease

Founded in 2015 by the team at Anaconda Dask originated from the need to address the challenges posed by the growing demand for scalable data processing in the Python ecosystem Motivated by the desire to provide a flexible and userfriendly solution for parallel computing the creators of Dask set out to develop a tool that could seamlessly integrate with existing Python data libraries while offering enhanced performance and scalability

Currently Dask maintains a strong foothold in the data science and scientific computing domains attracting a growing user base due to its versatility and efficiency in handling largescale computational tasks With an increasing demand for scalable data processing solutions Dasks market share within the Data Science Tools category is expected to experience significant growth in the coming years As organizations continue to grapple with everexpanding datasets and the need for faster processing speeds Dasks role in enabling efficient parallel computing is likely to become even more pronounced solidifying its position as a leading technology in the field

Question 4

如何获得使用Dask的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Dask 的公司更新名单。我们的平台提供了一个全面的数据库，涵盖了使用各种技术和内部工具的公司。

Question 5

Dask 有多少客户？

Accepted Answer

截至目前，我们拥有关于 1,774 家使用 Dask 的公司的数据。

Question 6

谁在使用Dask?

Accepted Answer

Dask 被广泛应用于包括 "Financial Services", "Business Consulting And Services", "Defense And Space Manufacturing", "Software Development", "Defense And Space Manufacturing", "Financial Services", "Software Development", "Software Development", "Environmental Services" 在内的各个行业的各种组织中。欲了解所有使用 Dask 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Dask?

Accepted Answer

一些使用Dask的公司包括Capital One, Bain & Company, STR, Systems & Technology Research, Domino Data Lab, BlackSky, Checkout.com, InstaDeep, Doctrine, Pachama以及更多公司。您可以在TheirStack.com上找到使用Dask的1,774家公司完整列表。

Question 8

哪些国家使用Dask最多？

Accepted Answer

根据我们的数据，Dask 在 美国 (696 companies), 英国 (145 companies), 法国 (62 companies), 印度 (49 companies), 加拿大 (44 companies), 德国 (36 companies), 西班牙 (24 companies), 比利时 (15 companies), 荷兰 (13 companies), 波兰 (12 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用Dask的公司？

Accepted Answer

您可以在TheirStack.com上搜索Dask，来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息，并借此发现他们正在使用的技术和内部工具。

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

公司	国家	行业	雇员	收入	技术
Capital One	美国	Financial Services	58K	$36B	Dask
Bain & Company	美国	Business Consulting And Services	22K	$6B	Dask
STR	美国	Defense And Space Manufacturing	920	$25M	Dask
Systems & Technology Research					Dask
Domino Data Lab	美国	Software Development	500	$32M	Dask
BlackSky	美国	Defense And Space Manufacturing	270	$75M	Dask
Checkout.com	英国	Financial Services	2K	$400M	Dask
InstaDeep	英国	Software Development	407	$10M	Dask
Doctrine	法国	Software Development	182	$2M	Dask
Pachama	美国	Environmental Services	113	$6.8M	Dask

使用 Dask 的公司

如何针对Dask用户进行定位

使用 Dask 的公司

如何针对Dask用户进行定位

这些数据的来源是什么?

这些数据的来源是什么?

数据多久更新一次?

数据多久更新一次?

什么是Dask?

什么是Dask?

如何获得使用Dask的公司的最新列表？

如何获得使用Dask的公司的最新列表？

Dask 有多少客户？

Dask 有多少客户？

谁在使用Dask?

谁在使用Dask?

哪些公司使用Dask?

哪些公司使用Dask?

哪些国家使用Dask最多？

哪些国家使用Dask最多？

如何找到使用Dask的公司？

如何找到使用Dask的公司？

Dask 替代品和竞争对手

Grafana

Mode

Pandas

NumPy

Qlik

PySpark

Einblick

Neo4j

Shiny

Metabase

i-DOCS

Tableau Desktop

Dataiku

Splunk Enterprise

Superset

KNIME

Tableau Prep

Hue

Denodo

Chart.Js

Celonis

Weave

Charted

Brancher

i-net

SAS Visual Analytics

Oracle Business Intelligence Enterprise Edition

Redash

Bokeh

Pentaho Data Integration

erwin Data Modeler

Tableau Online

D3js

Data Miner

SAS/Graph

Metaflow

Facette

Analytica

Burt

Elastic Kibana

Piktochart

Deck.gl

BigPicture

Tableau Public

amCharts

SAS Data Integration Studio

Gephi

Enso

Displayr

Quilt

使用Dask的公司所在国家

美国

英国

法国

印度

加拿大

德国