| [ | |
| { | |
| "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": 96 | |
| }, | |
| { | |
| "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": 60 | |
| }, | |
| { | |
| "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": 64 | |
| }, | |
| { | |
| "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": 56 | |
| }, | |
| { | |
| "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 | |
| } | |
| ] |