Companies that use PyXLL

Frequently asked questions

What is the source of this data?

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.

How often is the data updated?

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.

What is PyXLL?

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 PyXLL's development stemmed from the increasing demand for efficient data processing tools that can handle large datasets and perform advanced analytics within a familiar and user-friendly 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 Python's robust data processing capabilities and Excel's widespread utility positions it as a valuable asset for professionals looking to enhance their data science workflows.

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

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

How many customers does PyXLL have?

As of now, we have data on 9 companies that use PyXLL.

Who uses PyXLL?

PyXLL is used by a diverse range of organizations across various industries, including "Financial Services", "Engineering Services", "Staffing And Recruiting", "Pharmaceutical Manufacturing", "Financial Services", "Staffing And Recruiting". For a comprehensive list of all industries utilizing PyXLL, please visit TheirStack.com.

What companies use PyXLL?

Some of the companies that use PyXLL include Soros Fund Management, Capula, McGregor Boyall, Bristol Myers Squibb, MassMutual, SimplyApply, EasyHiring, Capula Investment Management Ltd and many more. You can find a complete list of 9 companies that use PyXLL on TheirStack.com.

In which countries PyXLL is used the most?

Based on our data, PyXLL is most popular in United Kingdom (2 companies), United States (2 companies). However, it is used by companies all over the world.

How to find companies that use PyXLL?

You can find companies using PyXLL 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.