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It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.
技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始，然后当有新公司使用该技术时，您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件，然后导入到您的CRM中。您也可以将这些数据导出到API。
Polynote 被用于 1 个国家
我们掌握了关于使用Polynote的2家公司数据。这个精心策划的名单可以下载，并附带了重要的公司具体信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
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常见问题
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。
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。
Polynote is a versatile and interactive notebook that is designed to be an all-in-one solution for data scientists, machine learning engineers, and researchers. It provides a collaborative environment where users can seamlessly mix and match multiple programming languages within the same notebook, enabling more flexibility and efficiency in data analysis workflows. With its user-friendly interface and support for various data formats, Polynote aims to streamline the process of exploring and visualizing data, building models, and sharing insights with team members.
Polynote falls under the category of Data Science Notebooks, which are essential tools for professionals working in the field of data science. These notebooks offer an interactive platform where users can write and execute code, visualize data, and document their analysis in a single environment. By combining code, visualizations, and explanatory text, Data Science Notebooks like Polynote facilitate reproducible research and enable collaboration among team members on data projects.
Founded in 2019 by Netflix, Polynote was created to address the limitations of existing notebook tools and provide a more flexible and efficient solution for data scientists. Netflix's motivation behind developing Polynote was to enhance the productivity of its data science teams and improve the overall workflow of data analysis within the company. Since its inception, Polynote has gained traction in the data science community and continues to evolve with new features and updates to meet the changing needs of users.
Currently, Polynote holds a growing market share within the Data Science Notebooks category, with an increasing number of data professionals adopting it for their analysis tasks. As the demand for more advanced and collaborative data science tools continues to rise, Polynote is poised to further expand its presence in the market. With its unique features and focus on user experience, Polynote is likely to see continued growth and solidify its position as a leading choice for data scientists and researchers in the future.
您可以访问 TheirStack.com，获取使用 Polynote 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。
截至目前，我们拥有关于 2 家使用 Polynote 的公司的数据。
Polynote 被广泛应用于包括 "Entertainment Providers", "Telecommunications" 在内的各个行业的各种组织中。欲了解所有使用 Polynote 的行业的完整列表，请访问 TheirStack.com。
一些使用Polynote的公司包括Netflix, NSN Australia Pty. Ltd以及更多公司。您可以在TheirStack.com上找到使用Polynote的2家公司完整列表。
根据我们的数据，Polynote 在 美国 (1 companies) 最受欢迎。然而，它被全世界的公司所使用。
您可以在TheirStack.com上搜索Polynote，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。
