Building a workflow

Introduction to Python for Developers

George Boorman

Curriculum Manager, DataCamp

Complex workflows

Loops through data structures
- for, while
Evaluate multiple conditions
- if, elif, else, >, >=, <, <=, ==, !=
Update variables
- +=
Return outputs
- print()

The "in" keyword

in = check if a value is in a variable/data structure

products_dict = {"AG32": 10, "HT91": 20, 
                 "PL65": 30, "OS31": 15, 
                 "KB07": 25, "TR48": 35}


# Check if "OS31" is a key in products_dict
if "OS31" in products_dict.keys():
    print(True)
else:
    print(False)

True

The "not" keyword

not = check if a condition is not met

# Check if "OS31" is not a key in products_dict
if "OS31" not in products_dict.keys():
    print(False)
else:
    print(True)

True

The "and" keyword

and = check if multiple conditions are met

# Check if "HT91" is a key and the minimum price of all products is > 5
if "HT91" in products_dict.keys() and min(products_dict.values()) > 5:
    print(True)

else:
    print(False)

True

The "or" keyword

or = check if one (or more) condition is met

# Check if "HT91" is a key or that the minimum price of all products is < 5
if "HT91" in products_dict.keys() or min(products_dict.values()) < 5:
    print(True)

else:
    print(False)

True

Adding/subtracting from variables

Combine keywords with other techniques to build complex workflows

sales_count = 0
for sale in range(1, 10):
    # sales_count = sales_count + 1
    sales_count += 1

stock = 10
for sale in range(1, 10):
    # sales_count = sales_count - 1
    stock -= 1

Other ways to update variables

Appending

Store information that meets specific criteria in a list

# Create an empty list
expensive_products = []


# Loop through the dictionary
for key, val in products_dict.items():


    # Check if price is 20 dollars or more
    if val >= 20:


        # Append the product ID to the list
        expensive_products.append(key)

Appending

print(expensive_products)

['HT91', 'PL65', 'KB07', 'TR48']

Let's practice!

Introduction to Python for Developers