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Introduzione a Python per sviluppatori

Jasmin Ludolf

Senior Data Science Content Developer

Chapter 1 recap

# Define quantity
quantity = 10


# Single quotes
ingredient_name = 'pasta'


# Double quotes also work
ingredient_name = "pasta"

Chapter 2 recap

ingredient_name = "Basil Leaves"


# Convert to lowercase
ingredient_name = ingredient_name.lower()

# List of ingredients
ingredients = ["pasta", "tomatoes", "garlic",
               "basil", "olive oil", "salt"]

# Get the value at the first index
ingredients[0]

# Creating a dictionary
recipe_dict = {"pasta": 500,
               "tomatoes": 400, 
               "garlic": 15,
               "basil": 20, 
               "olive oil": 30,
               "salt": 5}

# Create a set
ingredients_set = {"pasta", "tomatoes", "pasta", 
                   "basil", "garlic", "olive oil",
                   "salt"}

# Create a tuple
serving_sizes = (1, 2, 4, 6, 8)

Chapter 3 recap

Operator	Function
`==`	Equal to
`!=`	Not equal to
`>`	More than
`>=`	More than or equal to
`<`	Less than
`<=`	Less than or equal to

Keyword	Function	Use
`if`	If condition is met	First in the workflow
`elif`	Else check if condition is met	After `if`
`else`	Else perform this action	After `elif`

Chapter 3 recap

# 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

Chapter 3 recap

ingredients_to_add = 5
items_added = 0

while items_added < ingredients_to_add:
    items_added += 1
    remaining = ingredients_to_add - items_added

    if remaining > 3:
        print("Several ingredients remaining")
    elif remaining >= 1:
        print("Almost done!")
    else:
        print("Shopping list complete!")

Chapter 3 recap

Keyword	Function
`and`	Evaluate if multiple conditions are true
`or`	Evaluate one or more conditions are true
`in`	Evaluate if a value is in a data structure
`not`	Evaluate if a value is not in a data structure

list.append()

Next steps

Additional built-in functions
- zip()
- enumerate()
Packages and modules
- os
- time
- venv
- pandas
- requests
- numpy

Building custom functions

Intermediate Python for Developers course on DataCamp

Congratulations!

Introduzione a Python per sviluppatori