What are Python Generators?
Generators are special functions that allow you to iterate over large datasets efficiently by yielding one item at a time, conserving memory.
Why Use Generators?
- Memory Efficiency: Handle large datasets without consuming excessive memory.
- Lazy Evaluation: Generate values on-the-fly as needed.
- Simplified Code: Write cleaner loops and iteration logic.
How to Use Generators
Syntax of a Simple Generator
def generator_function():
yield value
Creating a Simple Generator for Barangay Leaders
# Generate a list of notable Filipino leaders one at a time
def barangay_leaders(leaders):
for leader in leaders:
yield leader
filipino_leaders = ["Jose Rizal", "Andres Bonifacio", "Emilio Aguinaldo", "Apolinario Mabini"]
for leader in barangay_leaders(filipino_leaders):
print(f"Barangay Leader: {leader}")
"""
Expected Output:
Barangay Leader: Jose Rizal
Barangay Leader: Andres Bonifacio
Barangay Leader: Emilio Aguinaldo
Barangay Leader: Apolinario Mabini
"""Using zip with Generators for Festival Details
# Pair festivals with their dates and locations efficiently.
def festival_details(festivals, dates, locations):
for festival, date, location in zip(festivals, dates, locations):
yield f"{festival} - {date} - {location}"
festivals = ["Sinulog", "Ati-Atihan", "Pahiyas", "Panagbenga", "MassKara"]
dates = ["January", "January", "May", "February", "October"]
locations = ["Cebu City", "Kalibo", "Lucban", "Baguio", "Bacolod"]
for detail in festival_details(festivals, dates, locations):
print(detail)
"""
Expected Output:
Sinulog - January - Cebu City
Ati-Atihan - January - Kalibo
Pahiyas - May - Lucban
Panagbenga - February - Baguio
MassKara - October - Bacolod
"""