We have piloted nbdev at several companies. Cleaner and more extensible API, which supports custom directives, custom module exporters, and more.A faster Jupyter kernel, which also means faster tests.Wide variety of output mediums such as blogs, papers, slides, and websites.Interoperation with non-nbdev codebases for tasks like documentation.It’s rewritten from the ground up, with much-anticipated features including: This is why we’re excited to share nbdev v2. Pull requests are often accompanied by detailed documentation and tests–contributors simply write notebooks. With nbdev, developers simply write notebooks with lightweight markup and get high-quality documentation, tests, continuous integration, and packaging for free! Nbdev has allowed us to maintain and scale many open source projects.
#Make visuals great again 2017 software
We discovered that it is not only capable of writing great software but that it has also increased our productivity by 300% or more. In fact, we’ve used nbdev for a wide range of software projects over the last three years, including deep learning libraries, API clients, Python language extensions, terminal user interfaces, and more.
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Today we’re excited to announce that we’ve teamed up with Quarto to give nbdev superpowers. Towards a dialect of python that embraces its dynamic nature.What we learned after three years of using nbdev.Nbdev+Quarto: A new secret weapon for productivity Hamel Husain and Jeremy Howard Contents