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The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
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。
有 45 个 Jupyter 替代品
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Jupyter 被用于 79 个国家
Technology
is any of
Jupyter
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
---|---|---|---|---|---|
英国 | Utilities | 3.6K |
| Jupyter | |
西班牙 | Consumer Services | 8.3K | $422M | Jupyter | |
德国 | It Services And It Consulting | 38 | $260K | Jupyter | |
英国 | It Services And It Consulting | 10K | $3B | Jupyter | |
德国 | It Services And It Consulting | 17 |
| Jupyter | |
美国 | Research Services | 5.9K | $57M | Jupyter | |
| Jupyter | ||||
美国 | Financial Services | 5.2K | $7.2B | Jupyter | |
美国 | Software Development | 28K |
| Jupyter | |
美国 | Financial Services | 13K | $1.9B | Jupyter |
我们掌握了关于使用Jupyter的8,370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。
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。
Jupyter is an open-source web application that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. It is widely used in data science, scientific computing, and machine learning fields for interactive computing and data analysis. Jupyter supports over 40 programming languages, including Python, R, and Julia, making it a versatile tool for various data-related tasks.
Jupyter falls under the category of Data Science Notebooks, which are interactive computational environments that enable users to write and execute code, visualize data, and share their findings in a single document. These notebooks provide a unified platform for data exploration, model building, and communication of results, enhancing collaboration and reproducibility in data-driven projects.
Jupyter was created in 2014 as a spin-off project from the IPython project by a team of developers led by Fernando Pérez. The motivation behind Jupyter was to provide a more interactive and user-friendly computing environment for scientific and data analysis tasks. Since its inception, Jupyter has gained significant popularity in the data science community and has a strong user base globally.
Currently, Jupyter holds a significant market share in the Data Science Notebooks category due to its robust features, support for multiple programming languages, and active developer community. With the increasing adoption of data science and machine learning in various industries, the demand for interactive computing tools like Jupyter is expected to grow further in the future. As data-driven decision-making becomes more prevalent, Jupyter is likely to maintain its position as a leading technology for interactive data analysis and modeling.
您可以访问 TheirStack.com,获取使用 Jupyter 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 8,370 家使用 Jupyter 的公司的数据。
Jupyter 被广泛应用于包括 "Utilities", "Consumer Services", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Research Services", "Financial Services", "Software Development", "Financial Services" 在内的各个行业的各种组织中。欲了解所有使用 Jupyter 的行业的完整列表,请访问 TheirStack.com。
一些使用Jupyter的公司包括Octopus Energy, Glovo, GreenPocket GmbH, Ocado Group, Breeze Technologies UG, Oak Ridge National Laboratory, Tenica, Coinbase, Nielsen, Morningstar以及更多公司。您可以在TheirStack.com上找到使用Jupyter的8,370家公司完整列表。
根据我们的数据,Jupyter 在 美国 (2,965 companies), 英国 (550 companies), 法国 (257 companies), 德国 (250 companies), 加拿大 (182 companies), 西班牙 (167 companies), 印度 (150 companies), 巴西 (103 companies), 荷兰 (88 companies), 澳大利亚 (71 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Jupyter,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。