utils/examples.json

[
    {
        "name": "Hello World!",
        "value": "def print_hello_world():\n    \"\"\"Print 'Hello World!'.\"\"\"",
        "length": 8
    },
    {
        "name": "Scikit-Learn",
        "value": "import numpy as np\nfrom sklearn.ensemble import RandomForestClassifier\n\n# create training data\nX = np.random.randn(100, 100)\ny = np.random.randint(0, 1, 100)\n\n# setup train test split",
        "length": 52
    },
    {
        "name": "Transformers",
        "value": "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n\n# build a BERT classifier",
        "length": 48
    },
    {
        "name": "Count words",
        "value": "def count_words(filename):\n    \"\"\"Count the number of occurrences of each word in the file\"\"\"",
        "length": 48
    },
    {
        "name": "Is e in L",
        "value": "def is_in_list(L, e):\n    \"\"\"Find if list L contains the element e.\"\"\"",
        "length": 32
    },
    {
        "name": "unittest",
        "value": "def is_even(value):\n    \"\"\"Returns True if value is an even number.\"\"\"\n    return value % 2 == 0\n\n# setup unit tests for is_even\nimport unittest",
        "length": 52

    },
    {
        "name": "Pizza Problem",
        "value": "def exercise():\n    \"\"\"Marie ordered one chicken meal that costs 12 dollars, and some boxes of pizza. Marie paid a total of 44 dollars. How many boxes of pizza did Marie order if each box costs 8 dollars?\"\"\"",
        "length": 52
    },
    {
        "name": "Pandas",
        "value": "# load dataframe from csv\ndf = pd.read_csv(filename)\n\n# columns: \"age_group\", \"income\"\n# calculate average income per age group",
        "length": 16
    }
]