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This extension incorporates generative artificial intelligence into Jupyter notebooks, enabling users to explain and generate code, rectify errors, summarize content, inquire about their local files, and generate complete notebooks based on natural language prompts. [21] JupyterHub is a multi-user server for Jupyter Notebooks.
This allows a fixed number of users access to the product at a given time and contrasts with an unlimited user license. For example: Company X buys software and pays for 20 concurrent users. However, there are 100 logins created at implementation. Only 20 of those 100 can be in the system at the same time, [1] [4] this is known as floating ...
Multi-user software is computer software that allows access by multiple users of a computer. [1] Time-sharing systems are multi-user systems. Most batch processing systems for mainframe computers may also be considered "multi-user", to avoid leaving the CPU idle while it waits for I/O operations to complete.
Digital notebooks are sometimes used for presentations as an alternative to PowerPoint and other presentation software, as they allow for the execution of code inside the notebook environment. [ 20 ] [ 21 ] Due to their ability to display data visually and retrieve data from different sources by modifying code, notebooks are also entering the ...
Pair programming is a software development technique in which two programmers work together at one workstation. One, the driver, writes code while the other, the observer or navigator, [1] reviews each line of code as it is typed in. The two programmers switch roles frequently.
Time-sharing was the first time that multiple processes, owned by different users, were running on a single machine, and these processes could interfere with one another. [44] For example, one process might alter shared resources which another process relied on, such as a variable stored in memory.
Multitasking does not require parallel execution of multiple tasks at exactly the same time; instead, it allows more than one task to advance over a given period of time. [1] Even on multiprocessor computers, multitasking allows many more tasks to be run than there are CPUs.
Time-sharing was first proposed in the mid- to late-1950s and first implemented in the early 1960s. The concept was born out of the realization that a single expensive computer could be efficiently utilized by enabling multiprogramming, and, later, by allowing multiple users simultaneous interactive access. [1]