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PyXLL？

Accepted Answer

PyXLL is a powerful Python library that seamlessly integrates Python into Microsoft Excel enabling users to leverage the extensive capabilities of Python within the familiar Excel environment It serves as a bridge between the worlds of Python data analysis and Excel spreadsheet functionalities offering a practical solution for data scientists financial analysts and other professionals who rely heavily on Excel for their work

PyXLL falls under the category of Data Science Tools specifically focusing on enhancing data analysis and manipulation capabilities within Excel By allowing Python code to be executed directly in Excel PyXLL enables users to perform complex data analytics visualization and manipulation tasks with ease Its compatibility with both Python 2 and 3 makes it a versatile tool for a wide range of users within the data science domain

Founded in year PyXLL was created by founder with the goal of bridging the gap between Excel and Python recognizing the need for a seamless integration solution that can empower users to combine the strengths of both platforms The motivation behind PyXLLs development stemmed from the increasing demand for efficient data processing tools that can handle large datasets and perform advanced analytics within a familiar and userfriendly interface like Excel

Currently PyXLL holds a significant market share within the Data Science Tools category with a growing user base across various industries As the demand for streamlined data analysis and visualization tools continues to rise PyXLL is poised for further growth in the future Its unique combination of Pythons robust data processing capabilities and Excels widespread utility positions it as a valuable asset for professionals looking to enhance their data science workflows

Question 4

如何获取使用PyXLL的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 PyXLL 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

PyXLL 有多少客户？

Accepted Answer

截至目前，我们拥有关于使用PyXLL的46家公司的数据。

Question 6

谁在使用PyXLL？

Accepted Answer

PyXLL 被广泛应用于各行各业的各类组织，包括 "Engineering Services", "Staffing and Recruiting", "Staffing and Recruiting", "Pharmaceutical Manufacturing", "Software Development", "Staffing and Recruiting", "Investment Management", "IT Services and IT Consulting", "IT Services and IT Consulting", "IT Services and IT Consulting"。如需查看使用 PyXLL 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用PyXLL？

Accepted Answer

使用PyXLL的公司包括Capula, ARC IT Recruitment, McGregor Boyall, Bristol Myers Squibb, 360 Technology, ETRA Talent, Capula Investment Management LLP, Global Applications Solution, VeeRteq Solutions LLC, Luxoft等更多公司。你可以在TheirStack.com上找到使用PyXLL的46家公司的完整列表。

Question 8

在哪些国家 PyXLL 使用得最多？

Accepted Answer

根据我们的数据，PyXLL 在 美国 (21 companies), 加拿大 (2 companies), 英国 (7 companies), 瑞士 (2 companies), 法国 (2 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PyXLL的公司？

Accepted Answer

你可以在 TheirStack.com 上搜索 PyXLL，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。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
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使用 PyXLL 的公司

如何定位PyXLL用户

PyXLL 客户按国家划分

美国

英国

加拿大

瑞士

法国