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generate functionSun, 30 Jul 2023

extracts work experience from unstructured resume text using a trained mlp model loaded with spacy

import spacy import sys import pickle nlp = spacy.load('en_core_web_sm', disable=['parser', 'tagger']) def extract_experience(text): doc = nlp(text) X = pd.DataFrame([[ent.text, ent.start_char, ent.end_char, ent.label_] for ent in doc.ents], columns = ["text", "start", "end", "label"]) X_test = X[X["label"] == "ORG"].copy() X_test["tokens"] = X_test["text"].apply(lambda x: [token.text for token in x.split()]) with open(f"model.pkl", 'rb') as f: model = pickle.load(f) y_pred = model.predict(X_test["tokens"]) return list(zip(X_test["text"], y_pred))

Python
Guest
generate functionWed, 26 Jul 2023

Haz un mapa de Argentina

import matplotlib.pyplot as plt import cartopy.crs as ccrs plt.axes(projection=ccrs.PlateCarree()) plt.contourf(lon, lat, temp_data[0, :, :], 60, transform = ccrs.PlateCarree()) plt.colorbar(orientation='horizontal', shrink = 0.8) plt.show()

Python
Guest
generate functionWed, 21 Dec 2022

dice gambling script

from random import randint def diceRoll(userGuess, numRoll): if userGuess == numRoll: return True else: return False def main(): numRoll = randint(1, 6) userGuess = int(input("Guess a number from 1 to 6: ")) if diceRoll(userGuess, numRoll): print("You win!") else: print("You lose. Better luck next time!") main()

Python
Guest