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    "summary": "Learn how to run Anaconda on AWS Graviton-based processors for 40% better price performance",
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    "summary": "Official Python beginners' guide for first-time users.",
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    "summary": "The most popular data vidualisation library for python, producing publication-quality 2D and 3D output for a variety of backends.",
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    "tags": [
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    "title": "Bokeh User Guide",
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    "tags": [
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    "title": "Anaconda Documentation",
    "uri": "https://docs.anaconda.com/free/anaconda/",
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  {
    "summary": "Desktop graphical user interface included in Anaconda that allows you to launch applications and easily manage conda packages, environments and channels.",
    "tags": [
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    "title": "Anaconda Navigator Documentation",
    "uri": "https://docs.anaconda.com/free/navigator/",
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    "summary": "With a single conda command you can easily install the R programming language and over 80 of the most used R packages for data science. Conda helps you keep your packages and dependencies up to date.",
    "tags": [
      "documentation"
    ],
    "title": "Using MRO or R with Conda",
    "uri": "https://conda.io/docs/user-guide/tasks/use-r-with-conda.html",
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    "summary": "CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R.",
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    ],
    "title": "The Comprehensive R Archive Network (CRAN)",
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    "summary": "Package, dependency and environment management for any language; Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN",
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    "summary": "A powerful interactive development environment for the Python language with advanced editing, interactive testing, debugging and introspection features",
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  {
    "summary": "Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The extension leverages all of VS Code's power to provide auto complete and IntelliSense, linting, debugging, and unit testing, along with control over your Python environments.",
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    "summary": "Questions and answers for people interested in developing Blaze, the multi-backend computation expression engine.",
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    "summary": "Questions and answers for people interested in developing Numba, the high-performance just-in-time compiler for python.",
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    "summary": "Discussion, announcements, and development related to using matplotlib",
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    "summary": "Collected tweets across a wide range of python and data-science.",
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    "summary": "Keep in touch with the latest technologies and tools coming out of Continuum Analytics.  The nitty gritty about the status and development challenged of your favorite open source Python tools",
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