Of course! The term "list template" in Python can mean a few different things depending on the context. Here’s a comprehensive guide covering the most common interpretations, from simple to advanced.

The Simplest "Template": A List of Placeholder Strings
This is the most literal interpretation. You have a list where you want to fill in some values later.
# A list of strings with placeholders
template_list = [
"Hello, {name}!",
"Your order {order_id} has been processed.",
"Your balance is ${balance:.2f}."
]
# The data to fill in the template
data = {
"name": "Alice",
"order_id": "12345",
"balance": 99.95
}
# Fill in the template using a list comprehension
filled_list = [s.format(**data) for s in template_list]
# Print the result
for item in filled_list:
print(item)
Output:
Hello, Alice!
Your order 12345 has been processed.
Your balance is $99.95.
How it works:
template_listis your list of "templates".datais a dictionary containing the values for the placeholders ({name},{order_id}, etc.).s.format(**data)unpacks thedatadictionary into keyword arguments for theformat()method. This is a clean and Pythonic way to fill the placeholders.
Advanced Templating: Using the string.Template Class
For more complex or user-generated templates, Python's built-in string.Template is safer and more powerful. It uses a simpler -based placeholder syntax and is designed to prevent accidental (or malicious) code injection.

from string import Template
# A template string that can be used to create a list
# Note the $placeholder syntax
template_str = "$greeting, $user! Your item '$item' is ready."
# Create a Template object
s = Template(template_str)
# A list of different data sets to plug into the template
data_sets = [
{"greeting": "Hello", "user": "Bob", "item": "Laptop"},
{"greeting": "Hi", "user": "Charlie", "item": "Book"},
{"greeting": "Greetings", "user": "Diana", "item": "Coffee Mug"}
]
# Use a list comprehension to create the final list
final_messages = [s.safe_substitute(data) for data in data_sets]
# Print the result
for message in final_messages:
print(message)
Output:
Hello, Bob! Your item 'Laptop' is ready.
Hi, Charlie! Your item 'Book' is ready.
Greetings, Diana! Your item 'Coffee Mug' is ready.
Key differences from str.format():
- Syntax: Uses
$varor${var}instead of{var}. - Safety:
s.substitute(data)will raise aKeyErrorif a key is missing.s.safe_substitute(data)will leave the placeholder ($var) in the string if the key is missing, which is often more robust.
Creating Lists of a Specific Type: "Template" for Data Structure
This is a very common pattern. You want to create a list where every element is a dictionary or an object with a predefined set of keys/attributes. This acts as a "template" for the structure of your data.
a) Using a Dictionary as a Template
You define a dictionary with default or None values and then create new dictionaries based on it.

# "Template" for a user record
user_template = {
"id": None,
"username": None,
"email": None,
"is_active": True
}
# Create a list of user records based on the template
users = []
users.append(user_template.copy()) # .copy() is crucial!
users.append(user_template.copy())
# Now, populate the data
users[0]["id"] = 1
users[0]["username"] = "alice"
users[0]["email"] = "alice@example.com"
users[1]["id"] = 2
users[1]["username"] = "bob"
users[1]["email"] = "bob@example.com"
# If you forget .copy(), all items will point to the SAME dictionary!
# bad_users = [user_template] * 2
# bad_users[0]["id"] = 1
# print(bad_users) -> [{'id': 1, ...}, {'id': 1, ...}] (Wrong!)
import pprint
pprint.pprint(users)
Output:
[{'email': 'alice@example.com',
'id': 1,
'is_active': True,
'username': 'alice'},
{'email': 'bob@example.com',
'id': 2,
'is_active': True,
'username': 'bob'}]
b) Using dataclasses (Modern & Recommended)
For more structured data, Python's dataclasses are perfect. They act as a blueprint for creating objects.
from dataclasses import dataclass
# This is the "template" or blueprint for a product
@dataclass
class Product:
name: str
price: float
in_stock: bool = True # Default value
# Now, create a list of Product instances
products = [
Product(name="Laptop", price=1200.00),
Product(name="Mouse", price=25.50, in_stock=False),
Product(name="Keyboard", price=75.00)
]
# You can easily access the attributes
for product in products:
print(f"- {product.name}: ${product.price:.2f} (In Stock: {product.in_stock})")
Output:
- Laptop: $120.00 (In Stock: True)
- Mouse: $25.50 (In Stock: False)
- Keyboard: $75.00 (In Stock: True)
Generating Lists from Templates (Jinja2)
For web development or complex text generation, the Jinja2 library is the industry standard. It's a powerful templating engine that can generate lists, HTML, or any other text format.
First, install it: pip install Jinja2
from jinja2 import Template
# A Jinja2 template string. It can use loops and logic.
template_str = """
<h1>User List</h1>
<ul>
{% for user in users %}
<li>
<strong>{{ user.name }}</strong> (Email: {{ user.email }})
{% if user.is_active %}
<span style="color: green;">(Active)</span>
{% else %}
<span style="color: red;">(Inactive)</span>
{% endif %}
</li>
{% endfor %}
</ul>
"""
# The data to be used in the template
users_data = [
{"name": "Alice", "email": "alice@example.com", "is_active": True},
{"name": "Bob", "email": "bob@example.com", "is_active": False},
{"name": "Charlie", "email": "charlie@example.com", "is_active": True},
]
# Create a Template object
jinja_template = Template(template_str)
# Render the template with the data
output_html = jinja_template.render(users=users_data)
print(output_html)
Output:
<h1>User List</h1>
<ul>
<li>
<strong>Alice</strong> (Email: alice@example.com)
<span style="color: green;">(Active)</span>
</li>
<li>
<strong>Bob</strong> (Email: bob@example.com)
<span style="color: red;">(Inactive)</span>
</li>
<li>
<strong>Charlie</strong> (Email: charlie@example.com)
<span style="color: green;">(Active)</span>
</li>
</ul>
Summary: Which "Template" Should You Use?
| Use Case | Best Method | Why |
|---|---|---|
| Simple string formatting | str.format() with a list comprehension |
Built-in, fast, and Pythonic for simple variable substitution. |
| User-generated or untrusted strings | string.Template |
Safer, simpler $var syntax, prevents code injection. |
| Blueprint for data structures | dict.copy() or dataclasses |
dataclasses are modern, type-safe, and enforce structure. Best choice. |
| Generating HTML/XML or complex text | Jinja2 (or another engine) | Extremely powerful, supports logic, loops, and is designed for this. |
