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How to Use f-strings in Python

How to Use f-strings in Python
Mohammad Waqas Shahid
Technical writer
Python
19.12.2024
Reading time: 9 min

Python f-strings, introduced in Python 3.6, revolutionized how developers format strings. These possess abilities of being precise, readable, & highly powerful which makes these a preferred method for string interpolation in Python. This manual covers all that there is so that you learn about all the different aspects about f-strings of python. It covers basic usage & goes all the way to advanced formatting techniques.

Introduction

Formatting a string is an integral part of programming in Python, helping developers to dynamically include data within strings. Among different processes of formatting strings, f-strings stand out because of their simplicity and performance benefits. f-strings are also known as formatted string literals. First came out  in Python 3.6, f-strings blend flexibility & efficiency, making them a go-to choice for many developers.

This manual will provide a detailed elaboration of f-strings, covering their syntax, features, & practical applications. By the end, you will be an expert in using f-strings effectively. It also proves much efficient for your code & is also better readable.

f-strings are also called formatted string literals.These are used for inserting expressions or variables, as well as function outputs directly. For creating an f-string, you can prefix string with either an uppercase or lowercase f. After that whatever will be placed in curly braces {} will be a part of the string. It will also be printed as if it was part of that string.

Benefits of f-strings

Using f-strings offers numerous benefits, including:

  • Enhanced Readability: Due to these there is seamless embedding of Variables & Expressions into strings
  • Improved Performance: As compared to other techniques that are used for formatting like str.format() or %-based formatting, they have faster performance.
  • Flexibility: Supports nested formatting, calling functions. & calculations.

f-strings Syntax

Its syntax is very straightforward.

f"string with {expression}"

Basic syntax example

name = "Alice"
age = 30
greeting = f"My name is {name}, and I am {age} years old."
print(greeting)

Output:

My name is Alice, and I am 30 years old.

Core functions of f-strings

Let’s dive into the essential features of f-strings.

Using Expressions Inside f-strings

F-strings not only embed  variables; they also allow the inclusion of any valid Python expression within the curly braces.

Example:

x = 10
y = 20
result = f"The sum of {x} and {y} is {x + y}."
print(result)

Output:

The sum of 10 and 20 is 30.

Formatting of numbers in f-strings

Formatted string literals provide an elegant way to display numbers with specific formatting options, like rounding, padding, or converting values to percentages.

Example:

pi = 3.14159
formatted_pi = f"Value of pi: {pi:.2f}"
print(formatted_pi)

Output:

Value of pi: 3.14

Escaping Curly Braces

For some cases, curly braces are used in the output text itself. To display literal curly braces in an f-string, use double braces {{ and }}.

Example:

template = f"Use {{braces}} to include special characters."
print(template)

Output:

Use {braces} to include special characters.

Multiline f-strings

F-strings can span multiple lines, making them useful for constructing large text blocks while maintaining readability.

Example:

title = "Python f-strings"
description = "powerful, fast, and easy to use"
message = f"""
Title: {title}
Description: f-strings are {description}.
"""
print(message)

Output:

Title: Python f-strings
Description: f-strings are powerful, fast, and easy to use.

Nesting and Combining f-strings

F-strings can contain other f-strings or be combined with traditional strings. This capability is helpful for dynamic and complex outputs.

Example:

name = "Bob"
info = f"{name.upper()}: {f'Name has {len(name)} characters'}"
print(info)

Output:

BOB: Name has 3 characters

Handling Lists and Dictionaries

With f-strings, you can directly access elements from lists or keys in dictionaries.

Example with Lists:

items = ["Python", "JavaScript", "C++"]
favorite = f"My favorite programming language is {items[0]}."
print(favorite)

Output:

My favorite programming language is Python.

Example with Dictionaries:

data = {"name": "Eve", "role": "Developer"}
message = f"{data['name']} works as a {data['role']}."
print(message)

Output:

Eve works as a Developer.

f-Strings vs. Other string Methods

Now, let's compare f-strings with other types of strings methods in python. 

% Formatting vs. f-Strings

The % operator, an older method, uses placeholders like %s for strings and %d for integers. While functional, it can be cumbersome and error-prone.

Example:

# % Formatting
name = "Alice"
age = 25
print("Hello, %s. You are %d years old." % (name, age))

# Equivalent f-string
print(f"Hello, {name}. You are {age} years old.")

Comparison:

  • % formatting requires tuples and placeholder matching, increasing complexity.
  • Python f-strings embed variables directly, making the code simpler and easier to read.

str.format() vs. f-Strings

The str.format() method introduced named placeholders, improving readability over % formatting. However, it still requires method calls, which can feel verbose.

Example:

# str.format()
print("Hello, {}. You are {} years old.".format(name, age))

# Equivalent f-string
print(f"Hello, {name}. You are {age} years old.")

Advanced Example: Named placeholders:

# str.format() with named placeholders
print("Hello, {name}. You are {age} years old.".format(name=name, age=age))

# Equivalent f-string
print(f"Hello, {name}. You are {age} years old.")

Comparison:

  • str.format() improves over % formatting but can still feel clunky.
  • f-strings streamline the process, especially for dynamic expressions.

String Concatenation vs. f-Strings

String concatenation combines strings using the + operator. While straightforward, it becomes inefficient for more complex formatting needs.

Example:

# String concatenation
print("Hello, " + name + ". You are " + str(age) + " years old.")

# Equivalent f-string
print(f"Hello, {name}. You are {age} years old.")

Comparison:

  • Concatenation requires explicit type conversion, increasing verbosity.
  • Python f-strings handle formatting and type conversion automatically.

Advanced Example: Including expressions:

# String concatenation
years_later = 5
print(name + " will be " + str(age + years_later) + " in " + str(years_later) + " years.")

# Equivalent f-string
print(f"{name} will be {age + years_later} in {years_later} years.")

Practical Applications of f-Strings in Python

Whether you're crafting dynamic SQL queries, improving logging efficiency, or processing data for analytics, f-strings in Python simplify your workflow and enhance code readability.

Generating Dynamic SQL Queries

In applications involving databases, f-strings perform really well to construct dynamic SQL queries by embedding variables directly into the query string.

Example:

# Generating SQL queries using f-strings
table_name = "users"
condition = "age > 30"
sql_query = f"SELECT * FROM {table_name} WHERE {condition};"
print(sql_query)
# Output: SELECT * FROM users WHERE age > 30;

By embedding variables into the SQL query string, f-strings in Python reduce the risk of syntax errors and make the code intuitive.

Enhancing Logging Statements

Logging plays an important role in debugging and monitoring applications. Python f-strings simplify logging statements, especially at the time at which dynamic data is included.

Example:

# Logging with f-strings
username = "Alice"
action = "logged in"
print(f"User {username} has {action} at 10:30 AM.")
# Output: User Alice has logged in at 10:30 AM.

Working with data for analytics purposes

Because of the use of f-strings, formatting strings dynamically based on variable content, is possible. This enables efficient and concise manipulation of data.

Example:

# Processing analytics data
metric = "conversion rate"
value = 7.5
print(f"The {metric} has increased to {value}%.")
# Output: The conversion rate has increased to 7.5%.

Crafting Dynamic File Paths

Automating the handling of a file often involves dynamically generating file paths. Python f-strings have made this process straightforward.

Example:

# Generating dynamic file paths
directory = "/data/exports"
filename = "report_2024.csv"
path = f"{directory}/{filename}"
print(path)
# Output: /data/exports/report_2024.csv

Dynamic Web Content Generation

During web development, HTML or JSON content can be generated dynamically by the use of f-strings.

Example:

# Dynamic HTML generation
title = "Welcome"
content = "This is a demo of Python f-strings in action."
html = f"<h1>{title}</h1><p>{content}</p>"
print(html)
# Output: <h1>Welcome</h1><p>This is a demo of Python f-strings in action.</p>

Automating titles of report

During reporting or analytics, titles often need to reflect about data that is being processed. f-strings in Python automate this with ease.

Example:

# Automating report titles
report_date = "December 2024"
report_title = f"Sales Report - {report_date}"
print(report_title)
# Output: Sales Report - December 2024

Advanced Formatting Features

f-strings are capable of handling alignment, width specifications, or time & date  formatting for creation of cleaner outputs.

Example:

# Aligning text
for name, score in [("Alice", 92), ("Bob", 87)]:
    print(f"{name:<10} | {score:>5}")

# Formatting dates
from datetime import datetime
now = datetime.now()
print(f"Current time: {now:%Y-%m-%d %H:%M:%S}")

Debugging Made Easier with f-Strings

f-strings are capable of showing error messages in more informative by embedding relevant expressions or variables.

Example:

value = 42
try:
    assert value > 50, f"Value {value} is not greater than 50."
except AssertionError as e:
    print(e)

Common Errors to Avoid

During the use of f-strings, a few common pitfalls include:

  • Forgetting to prefix the string with f: This results in a plain string without any formatting. Incompatible

  • Python versions: Ensure Python 3.6 or newer is installed, as f-strings are not supported in earlier versions.

Conclusion

F-strings are a robust and versatile tool for string formatting in Python. Whether you need to include variables, perform calculations, or debug your code, f-strings simplify such types of tasks with cleaner syntax & better performance.

If you want to build a web service using Python, you can rent a cloud server at competitive prices with Hostman.

Python
19.12.2024
Reading time: 9 min

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08 April 2025 · 6 min to read

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