Once produced, this deep feature can:
scores = k: sum(text.lower().count(w) for w in words) for k, words in concepts.items() leo babauta pdf
# Example conceptual feature vector (pseudo-code) concept_scores = "minimalism": 0.87, "habit_formation": 0.92, "mindfulness_presence": 0.78, "anti_perfectionism": 0.65, "practical_zen": 0.88, "fear_procrastination": 0.71, "joy_in_simplicity": 0.83 Once produced, this deep feature can: scores = k: sum(text
Leo Babauta, the creator of , is a pioneer of the "un-copyright" movement, intentionally making much of his work available for free to spread his message of simplicity and mindfulness. "joy_in_simplicity": 0.83 Leo Babauta