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echasnovski/nushell.github.io

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TLDR

Nushell is a modern replacement for your computer's command-line shell, the program you use to type commands and control your operating system.

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In plain English

Nushell is a modern replacement for your computer's command-line shell, the program you use to type commands and control your operating system. Instead of the traditional shells like Bash, it offers a fundamentally different approach: it treats all data as structured information rather than plain text. This means when you run a command, you get back data that's organized and typed, not just a string of characters you have to parse manually. The everyday benefit is that this makes scripting and data manipulation much safer and more predictable. In a traditional shell, if you want to find files or filter information, you're often combining multiple programs with pipes and hoping the text parsing works correctly. Nushell lets you work with the actual data, selecting columns, filtering rows, and sorting results using consistent commands whether you're working with files, JSON, databases, or web APIs. You get better error messages too, since Nushell understands the data types and can tell you exactly what went wrong and where. Who would use this? System administrators and DevOps engineers who spend their day at the command line and want safer, more reliable scripting. Data analysts who constantly pull information from different sources and want a unified way to explore and transform it. Developers who get tired of stringing together sed, awk, and grep commands and want a more intuitive interface. The shell works on Windows, macOS, Linux, and BSD, so once you learn it, you can use the same approach on any operating system. This repository is the public-facing documentation and website for the Nushell project. It hosts the official book (tutorial), blog, and installation instructions. If you're curious about Nushell or want to learn it, you'd visit this site to get started. The actual shell itself lives in a separate repository, this is where the project explains itself to the world and where the community contributes documentation improvements.

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