Reproducibility: You can save and share your Jupyter Notebooks, which contain all the necessary data, code and results.
Extensibility: You can add new features and capabilities to JupyterLab using extensions that are available on the official website or created by the community.
Complexity: You must have certain knowledge and skills to install, configure and use JupyterLab on your server.
Security: You must ensure that your server is protected from unauthorized access, and also monitor the update of versions of JupyterLab and its components.
Performance: You may encounter phone number list problems with the speed and stability of JupyterLab when working with large amounts of data or complex code.
Where and by whom is JupyterLab used?
JupyterLab is used in various fields and industries, such as:
Science: JupyterLab is used for conducting scientific research, data analysis, modeling and simulation of physical and chemical processes, creating publications, etc.
Education: JupyterLab is used to teach students and teachers programming, mathematics, statistics, physics, chemistry, biology, etc.
Business: JupyterLab is used for market analysis, demand forecasting, price optimization, customer segmentation, product recommendations, fraud detection, etc.
Art: JupyterLab is used to create generative art, music, poetry, animation, etc.
Why should JupyterLab be used?