How to Use Jupyter Notebooks: The Ultimate Guide – DataCamp
Jupyter notebooks are crucial for technical and data work, offering code, output, and text in one document. DataLab, a hosted service, enhances collaboration and database connectivity. Popular among data professionals, they come in hosted and local types, with DataLab providing a user-friendly hosted option.
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Jupyter notebooks are essential tools for technical and data science work, combining code, output, and text elements in a single document. DataLab, a hosted notebook service, offers features like database connectivity and real-time collaboration. These notebooks are popular among data professionals, with over 80% of respondents in the Kaggle Survey 2022 using them. There are two main types of Jupyter notebooks: hosted and local. DataLab provides a user-friendly option for those not wanting to set up a local environment. Notebooks consist of cells for text, code, SQL queries, and charts, a runtime environment for code execution, and a file system for data management. Users can switch between command and edit modes for interaction. DataLab also allows for publishing notebooks as publications and sharing them for collaboration. Real-time collaboration features enable multiple users to edit a notebook simultaneously. Overall, Jupyter notebooks are versatile tools for data analysis and collaboration in the field of data science.
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