Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据来源于从数百万家公司收集的招聘信息。我们在公司网站、招聘网站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，包括他们对内部工具的使用。

Question 2

数据更新的频率是多少？

Accepted Answer

我们每天更新我们的数据，以确保您访问到最当前的信息。这个频繁更新的过程保证了我们的见解和情报能够反映行业内的最新发展和趋势。

Question 3

什么是Numba？

Accepted Answer

Numba is a highperformance opensource justintime JIT compiler that translates Python functions to machine code at runtime enabling significant speedups for numerical computations Developed with a focus on numerical and scientific computing Numba allows users to accelerate their Python code without having to switch to a lowerlevel language like C or C By leveraging LLVM compiler infrastructure Numba optimizes the execution of numerical algorithms making it a valuable tool for data scientists researchers and developers working in the domain of machine learning and scientific computing

Numba falls under the category of Machine Learning Tools offering a crucial capability for enhancing the performance of machine learning algorithms and data processing tasks implemented in Python With its ability to generate optimized machine code dynamically Numba allows users to achieve nearC speeds for their numerical computations while still enjoying the flexibility and ease of Python programming This makes it an essential tool for streamlining complex machine learning workflows and improving overall computational efficiency in the field of data science

Founded in 2012 by Anaconda Inc the motivation behind Numbas development was to address the performance limitations of Python when handling computationally intensive tasks Anaconda recognized the growing need for a solution that could bridge the gap between Pythons highlevel syntax and the demand for faster numerical computations in scientific computing and machine learning applications Since its inception Numba has evolved to become a prominent player in the realm of accelerating Python code attracting a dedicated user base seeking to optimize performance without sacrificing the productivity benefits of Python programming

As of the latest data Numba commands a notable share of the market within the Machine Learning Tools category providing users with a powerful tool for boosting the speed and efficiency of numerical operations in Python With the increasing adoption of machine learning techniques and the emphasis on performance optimization in data science workflows Numba is poised to witness continued growth in its market share As organizations and individuals increasingly prioritize performance enhancements in their Pythonbased applications Numba is expected to play a crucial role in driving efficiency and speed in numerical computing tasks thus solidifying its position as a leading tool in the machine learning and scientific computing domains

Question 4

如何获取使用Numba的公司最新列表？

Accepted Answer

通过访问 TheirStack.com，您可以获取使用 Numba 的公司更新列表。我们的平台提供一个全面的数据库，其中包括使用各种技术和内部工具的公司。

Question 5

Numba 有多少客户？

Accepted Answer

截至目前，我们拥有使用Numba的330家公司数据。

Question 6

谁在使用Numba?

Accepted Answer

Numba 被各种行业的多样化组织所使用，包括 "Software Development", "Transportation, Logistics, Supply Chain and Storage", "Financial Services", "Medical Equipment Manufacturing", "Retail", "Oil and Gas", "Software Development", "Staffing and Recruiting", "Staffing and Recruiting", "Software Development"。要查看使用 Numba 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Numba?

Accepted Answer

一些使用Numba的公司包括Continuum Industries, Greenscreens.ai, D. E. Shaw India Private Limited, DeepSight Technology, H-E-B, Validere, Mind Foundry, The MWek Company, Client Server, Eightfold，以及更多公司。您可以在TheirStack.com上找到使用Numba的330家公司完整列表。

Question 8

在哪些国家中，Numba 使用最多？

Accepted Answer

根据我们的数据，Numba 在 美国 (92 companies), 英国 (37 companies), 法国 (20 companies), 西班牙 (9 companies), 瑞士 (8 companies), 印度 (5 companies), 加拿大 (5 companies), 澳大利亚 (4 companies), 比利时 (3 companies), 巴西 (3 companies) 最受欢迎。然而，它被世界各地的公司使用。

Question 9

如何找到使用Numba的公司？

Accepted Answer

您可以通过在 TheirStack.com 上搜索 Numba 来找到使用该技术的公司。我们跟踪来自数百万家公司的职位发布，并利用它们来发现他们正在使用哪些技术和内部工具。

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	员工	收入	技术
Continuum Industries	英国	Software Development	51	$1M	Numba
Greenscreens.ai	美国	Transportation, Logistics, Supply Chain and Storage	52
D. E. Shaw India Private Limited	印度	Financial Services	1.4k
DeepSight Technology	美国	Medical Equipment Manufacturing	61
H-E-B	美国	Retail	100k	$33B	Numba
Validere	加拿大	Oil and Gas	110	$4.2M	Numba
Mind Foundry	英国	Software Development	200	$3M	Numba
The MWek Company	英国	Staffing and Recruiting	50
Client Server	英国	Staffing and Recruiting	154	$31M	Numba
Eightfold	美国	Software Development	897		Numba

使用Numba的公司

Numba 客户按国家/地区分布

如何针对Numba用户进行定位

美国

英国

法国

西班牙

瑞士

印度

加拿大

澳大利亚

比利时

巴西

Numba 替代品和竞争对手

TensorFlow

PyTorch

scikit-learn

ML Flow

MLflow

Microsoft LUIS

Amazon SageMaker

ENorm

CUDA

Stan

Kubeflow

Neuro

Azure Machine Learning

Lateral

Streamlit

Amazon Machine Learning

NLTK

Perplexity

Triton

Amazon Text to Speech

Kur

Caffe

Appen

Propel

Ludwig

IBM Watson

Document AI

Aquarium

Fritz

Lamina

MXNet

Apache MXNet

Amazon Textract

Tensorflow Lite

Renate

Google AI Platform

Clipper

Igel

DeepSpeed

Bard AI

Amazon Comprehend

RAPIDS

Microsoft Cognitive Services

Weka

Gradio

Manifold

Apache Spark MLlib

OpenVINO

GraphRAG

Amazon Kendra

这些数据的来源是什么？

这些数据的来源是什么？

数据更新的频率是多少？

数据更新的频率是多少？

什么是Numba？

什么是Numba？

如何获取使用Numba的公司最新列表？

如何获取使用Numba的公司最新列表？

Numba 有多少客户？

Numba 有多少客户？

谁在使用Numba?

谁在使用Numba?

哪些公司使用Numba?

哪些公司使用Numba?

在哪些国家中，Numba 使用最多？

在哪些国家中，Numba 使用最多？