Showing 4 open source projects for "python data analysis"

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    ACI Learning: Internal Audit, Cybersecurity, and IT Training

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  • 1
    Pyright

    Pyright

    Static type checker for Python

    Pyright is a fast type checker meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified. Pyright supports configuration files that provide granular control over settings. Different “execution environments” can be associated with subdirectories within a source base. Each environment can specify different module search paths, python language versions, and platform targets. Type inference for function return values, instance...
    Downloads: 0 This Week
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  • 2
    TypeScript Express Starter

    TypeScript Express Starter

    Quick and Easy TypeScript Express Starter

    Express consists of JavaScript, which makes it vulnerable to type definitions. That's why we avoid supersets with starter packages that introduce TypeScript. The package is configured to use TypeScript instead of JavaScript. Express is a fast, open and concise web framework and is a Node.js based project. npx is a tool in the JavaScript package management module, npm. This is a tool that allows you to run the npm package on a single run without installing the package. If you do not enter a...
    Downloads: 0 This Week
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  • 3
    Vetur

    Vetur

    Vue tooling for VS Code

    Vue tooling for VS Code, powered by vls. Try it out with Veturpack. Vetur supports syntax highlighting for vue directives (e.g. v-if or :attribute=) and vue interpolations. The supported attribute string literals are ' and ". Vetur does not support the ` backtick literal, as it makes things more complex and there is no observed benefit of using it. Vetur lets you use snippets for each embedded languages. Vetur provides scaffolding snippets for quickly defining regions. They are vue snippets...
    Downloads: 0 This Week
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  • 4
    Hydrogen

    Hydrogen

    Run code interactively, inspect data, and plot

    Hydrogen is an interactive coding environment that supports Python, R, JavaScript and other Jupyter kernels. Hydrogen was inspired by Bret Victor's ideas about the power of instantaneous feedback and the design of Light Table. Running code inline and in real-time is a more natural way to develop. By bringing the interactive style of Light Table to the rock-solid usability of Atom, Hydrogen makes it easy to write code the way you want to. You also may be interested in our latest project –...
    Downloads: 0 This Week
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    All-in-One Inspection Software

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