Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据源自从数百万家公司收集的职位发布信息。我们在公司官网、招聘网站及其他招聘平台上监测这些发布。分析职位发布能够可靠地帮助我们了解各家公司所采用的技术，包括其内部工具的使用情况。

Question 2

数据多久更新一次？

Accepted Answer

我们每日刷新数据，确保您获取到最新可用的信息。如此频繁的更新流程，保证我们的洞察与情报能够反映行业内的最新发展与趋势。

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的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Numba 的公司最新列表。我们的平台提供一个全面的数据库，涵盖采用各类技术和内部工具的公司。

Question 5

Numba 有多少客户？

Accepted Answer

截至目前，我们拥有关于使用Numba的360家公司的数据。

Question 6

谁在使用Numba？

Accepted Answer

Numba 被广泛应用于各行各业的各类组织，包括 "Computers and Electronics Manufacturing", "Financial Services", "Software Development", "Transportation, Logistics, Supply Chain and Storage", "Environmental Services", "Medical Equipment Manufacturing", "Retail", "Oil and Gas", "Software Development", "Staffing and Recruiting"。如需查看使用 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

使用Numba的公司包括Inmersia, D. E. Shaw India Private Limited, Continuum Industries, Greenscreens.ai, BWI, DeepSight Technology, H-E-B, Validere, Mind Foundry, The MWek Company等更多公司。你可以在TheirStack.com上找到使用Numba的360家公司的完整列表。

Question 8

在哪些国家 Numba 使用得最多？

Accepted Answer

根据我们的数据，Numba 在 美国 (98 companies), 英国 (40 companies) 最受欢迎。然而，全球各地的公司都在使用它。

Question 9

如何找到使用Numba的公司？

Accepted Answer

你可以在 TheirStack.com 上搜索 Numba，从而找到使用它的公司。我们追踪来自数以百万计公司的职位发布，并据此发现他们在使用哪些技术和内部工具。

使用 Numba 的公司