Introduction à Python pour les développeurs
Jasmin Ludolf
Senior Data Science Content Developer
# Ingredient quantities
quantities = [500, 400, 15, 20, 30, 5]
# Validate values
quantities[0] < 10
False
quantities[1] < 10
False
for value in sequence:
action
for value Chaque fois que vous accédez à sequence, veuillez effectuer cette opération. action
action est indenté en raison du deux-points dans la ligne précédentesequence = itérable, par exemple liste, dictionnaire, etc.
value = itérateur, c'est-à-dire l'indexi est courant.# Ingredients list ingredients = ["pasta", "tomatoes", "garlic", "basil", "olive oil", "salt"]# Loop through and print each ingredient for ingredient in ingredients:print(ingredient)
pasta
tomatoes
garlic
basil
olive oil
salt
quantities = [1000, 800, 40, 30, 30, 15]
for qty in quantities:
quantities = [1000, 800, 40, 30, 30, 15] for qty in quantities:# Check if quantity is more than 500 if qty > 500: print("Plenty in stock") elif qty >= 100: print("Enough for a small portion") else: print("Nearly out!")
Plenty in stock
Enough for small
Nearly out!
Nearly out!
Nearly out!
ingredient_name = "pasta"# Loop through each character for letter in ingredient_name: print(letter)
p
a
s
t
a
ingredients = {"pasta": 500, "tomatoes": 400, "garlic": 30}# Loop through keys and values for item, qty in ingredients.items(): print(item, ":", qty, "grams")
pasta : 500 grams
tomatoes : 400 grams
garlic : 30 grams
item = clé (nom de l'ingrédient)qty = valeur (quantité)ingredients = {"pasta": 500, "tomatoes": 400, "garlic": 30} factor = 2# Calculate scaled quantities for item, qty in ingredients.items(): scaled_qty = qty * factor print(item, ":", scaled_qty, "grams")
pasta : 1000 grams
tomatoes : 800 grams
garlic : 60 grams
# Loop through keys only
for item in ingredients.keys():
print(item)
pasta
tomatoes
garlic
# Loop through values only
for qty in ingredients.values():
print(qty, "grams")
500 grams
400 grams
30 grams
range(start, end + 1)
start = numéro de départend = numéro de finfor i in range(1, 6):
print(i)
1
2
3
4
5
Introduction à Python pour les développeurs