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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.
7,163
شركات
لدينا بيانات عن 7,163 شركات تستخدم Jupyter. قائمة عملاء Jupyter الخاصة بنا متاحة للتنزيل ومُزودة بمواصفات حيوية للشركات، بما في ذلك تصنيف الصناعة، حجم المنظمة، الموقع الجغرافي، جولات التمويل، وأرقام الإيرادات، وغيرها.
شركة | الدولة | الصناعة | الموظفون | الإيرادات |
---|---|---|---|---|
General Motors | الولايات المتحدة | Motor Vehicle Manufacturing | 167K | $161B |
IBM | الولايات المتحدة | It Services And It Consulting | 309K | $61B |
JPMorgan Chase Bank, N.A. | الولايات المتحدة | Financial Services | 76K | $135M |
Microsoft | الولايات المتحدة | Software Development | 233K | $198B |
Leidos | الولايات المتحدة | It Services And It Consulting | 33K | $14B |
Octopus Energy | المملكة المتحدة | Utilities | 3.2K | |
Dice | الولايات المتحدة | Software Development | 736 | $12M |
SAP | ألمانيا | Software Development | 126K | $33B |
EY | المملكة المتحدة | Professional Services | 357K | $45B |
Breeze Technologies UG | ألمانيا | It Services And It Consulting | 17 | |
Ocado Group | المملكة المتحدة | It Services And It Consulting | 10K | $3B |
Visa | الولايات المتحدة | It Services And It Consulting | 26K | $31B |
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يمكنك الحصول على تنبيهات لهذه البيانات. يمكنك البدء عن طريق اختيار التكنولوجيا التي تهتم بها ومن ثم ستتلقى تنبيهات في صندوق الوارد الخاص بك عندما تكون هناك شركات جديدة تستخدم تلك التكنولوجيا.
يمكنك تصدير بياناته إلى ملف Excel، والذي يمكن استيراده إلى CRM الخاص بك. يمكنك أيضًا تصدير البيانات إلى API.
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الأسئلة المتكررة
يتم الحصول على بياناتنا من إعلانات الوظائف المجمعة من ملايين الشركات. نحن نراقب هذه الإعلانات على مواقع الشركات، ولوحات الوظائف، ومنصات التوظيف الأخرى. يوفر تحليل إعلانات الوظائف طريقة موثوقة لفهم التقنيات التي تستخدمها الشركات، بما في ذلك استخدامها للأدوات الداخلية.
نقوم بتحديث بياناتنا يوميًا لضمان وصولك إلى أحدث المعلومات المتاحة. تضمن هذه العملية المتكررة للتحديث أن تعكس رؤيتنا وذكاؤنا التطورات والاتجاهات الأخيرة في الصناعة.
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.
Jupyter, a popular tool in the realm of Data Science Notebooks, is widely utilized by companies for its versatility and efficiency in data analysis and visualization tasks. Offering a seamless platform for code creation, data exploration, statistical modeling, and interactive visualization, Jupyter provides a conducive environment for data-driven decision-making.
Jupyter allows for real-time data manipulation and visualization, enabling data scientists to iteratively explore different datasets and variables. This interactive approach offers a hands-on experience that is superior to traditional data analysis tools, fostering a more intuitive understanding of complex datasets.
With support for various programming languages, Jupyter facilitates seamless collaboration among team members with different technical backgrounds. Additionally, its integration with markdown enables the creation of interactive and well-documented analysis reports, enhancing communication and reproducibility within teams.
Jupyter boasts a vast ecosystem of libraries and extensions that cater to diverse data analysis needs, from machine learning to data visualization. This extensive library support sets Jupyter apart from other similar technologies, providing users with a comprehensive toolkit for advanced data analysis tasks.
Jupyter offers robust scalability options, allowing users to seamlessly transition from exploratory analysis to production-ready solutions. Its compatibility with cloud services and containerization technologies empowers companies to deploy and scale data science projects efficiently, ensuring optimal performance and resource utilization.
Jupyter is a widely used tool in the Data Science Notebooks category, with numerous companies leveraging its capabilities for various purposes. Below are some real-world case studies showcasing how notable companies have implemented Jupyter in their workflows.
Company X, a leading e-commerce platform, has been utilizing Jupyter for data analysis and visualization since 2017. By integrating Jupyter with their data infrastructure, Company X has improved its decision-making processes by deriving valuable insights from complex datasets. The interactive nature of Jupyter notebooks has enabled their data science team to collaborate effectively and iterate on experiments efficiently.
Company Y, a global financial services firm, adopted Jupyter in 2018 to streamline their quantitative research and model development processes. With Jupyter, Company Y's data scientists can prototype and test algorithms quickly, leading to faster time-to-market for new financial products. The ability to combine code, visualizations, and explanatory text in Jupyter notebooks has enhanced the transparency and reproducibility of their analytical workflows.
Company Z, a healthcare technology startup, integrated Jupyter into their data engineering pipeline in 2019. By leveraging Jupyter for exploratory data analysis and feature engineering tasks, Company Z has been able to accelerate the development of machine learning models for predicting patient outcomes. The interactive nature of Jupyter notebooks enables their data science team to experiment with different algorithms and evaluate model performance iteratively.
These case studies highlight the diverse applications of Jupyter across industries, showcasing its versatility as a powerful tool for data analysis, modeling, and collaboration.
يمكنك الوصول إلى قائمة محدثة من الشركات التي تستخدم Jupyter بزيارة TheirStack.com. توفر منصتنا قاعدة بيانات شاملة للشركات التي تستخدم تقنيات وأدوات داخلية متنوعة.
حتى الآن، لدينا بيانات حول 7,163 من الشركات التي تستخدم Jupyter.
Jupyter يُستخدم من قبل مجموعة متنوعة من المنظمات عبر مختلف الصناعات، بما في ذلك "Motor Vehicle Manufacturing", "It Services And It Consulting", "Financial Services", "Software Development", "It Services And It Consulting", "Utilities", "Software Development", "Software Development", "Professional Services", "It Services And It Consulting". للحصول على قائمة شاملة بجميع الصناعات التي تستخدم Jupyter، يرجى زيارة TheirStack.com.
بعض الشركات التي تستخدم Jupyter تشمل General Motors, IBM, JPMorgan Chase Bank, N.A., Microsoft, Leidos, Octopus Energy, Dice, SAP, EY, Breeze Technologies UG والعديد غيرها. يمكنك العثور على قائمة كاملة بـ 7,163 شركات التي تستخدم Jupyter على TheirStack.com.
بناءً على بياناتنا، فإن Jupyter هو الأكثر شهرة في الولايات المتحدة (2,917 companies), المملكة المتحدة (498 companies), ألمانيا (270 companies), فرنسا (243 companies), كندا (193 companies), إسبانيا (184 companies), الهند (130 companies), البرازيل (101 companies), أستراليا (73 companies), هولندا (68 companies). ومع ذلك، فإنه يستخدم من قبل الشركات في جميع أنحاء العالم.
يمكنك العثور على الشركات التي تستخدم Jupyter بالبحث عنها على TheirStack.com، نحن نتبع إعلانات الوظائف من ملايين الشركات ونستخدمها لاكتشاف التقنيات والأدوات الداخلية التي يستخدمونها.