00_START_HERE.ipynb

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        "# Climate coding challenge, Part 0\n",
        "\n",
        "## Human-readable and Machine-readable\n",
        "\n",
        "When writing open, reproducible scientific workflows, it is always\n",
        "important to make sure that:\n",
        "\n",
        "1.  all collaborators can understand what’s going on\n",
        "2.  any commands you give to a computer are clear and unambiguous\n",
        "\n",
        "We call these two (sometimes competing) goals **human-readability** and\n",
        "**machine-readability**.\n",
        "\n",
        "> **Further reading**\n",
        ">\n",
        "> Read [our textbook chapter about organizing open reproducible science\n",
        "> projects](https://www.earthdatascience.org/courses/intro-to-earth-data-science/open-reproducible-science/get-started-open-reproducible-science/best-practices-for-organizing-open-reproducible-science/)."
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        "> **Human-readable and Machine-readable**\n",
        ">\n",
        "> 1. Create a new Markdown cell below this one using the\n",
        ">     <kbd>ESC</kbd> + <kbd>b</kbd> keyboard shortcut.\n",
        "> 2. In the new cell, answer the following question in a Markdown\n",
        ">     **quote**: Does this Jupyter Notebook file have a machine-readable\n",
        ">     name? Explain your answer."
      ]
    },
    {
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      "id": "311de403",
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      "source": [
        "No, the spaces, colon, and hyphen can cause issues for machine readability."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "09d076a4-e009-495c-a284-bc8760e7ac78",
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      "source": [
        "> **Your task: Machine-readable file names**\n",
        ">\n",
        "> Rename any notebooks in this folder with an **expressive and\n",
        "> machine-readable file name**"
      ]
    }
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