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How to Generate QR Codes in Python

🗂 Category: PROGRAMMING
🕒 Date: 2025-12-02 | ⏱️ Read time: 7 min read

---

QR (Quick Response) codes are two-dimensional barcodes that have become ubiquitous for sharing information quickly, from website URLs to Wi-Fi credentials. With Python, generating your own QR codes is a straightforward process, thanks to powerful and easy-to-use libraries.

This tutorial will guide you through using the qrcode package to create both simple and customized QR codes. By the end, you'll be able to integrate QR code generation into any of your Python projects.

#### What You'll Learn:

• How to install the necessary Python package.
• How to create a basic QR code with a single line of code.
• How to use the QRCode class for advanced customization, including size, border, error correction, and color.

---

Step 1: Installation

To get started, you need to install the qrcode library. This package also requires an image processing library to create and save the QR code as an image file. We'll use Pillow, which can be installed along with the main package.

Open your terminal or command prompt and run the following command:

pip install "qrcode[pil]"

This command installs both the qrcode library and the Pillow dependency, ensuring you have everything you need to generate and save image files.

---

Step 2: Creating a Simple QR Code

The quickest way to generate a QR code is by using the make() function. This is perfect for when you need a standard QR code without any special configurations.

Let's create a QR code that encodes the URL to the official Python website.

• Create a new Python file (e.g., create_qr.py).
• Add the following code:

import qrcode

# The data you want to encode in the QR code
data = "https://www.python.org"

# Generate the QR code image
# The make() function handles the entire process
img = qrcode.make(data)

# Save the generated image to a file
img.save("basic_python_qr.png")

print("QR code generated successfully and saved as 'basic_python_qr.png'")

When you run this script, it will create a file named basic_python_qr.png in the same directory. If you scan this QR code with your phone, it will take you to the Python website.

---

Step 3: Advanced Customization

For more control over the appearance and functionality of your QR code, you can use the QRCode class. This allows you to configure several parameters:

• version: An integer from 1 to 40 that controls the size of the QR Code. A larger version number means the code can hold more data.
• error_correction: Controls how much of the QR code can be damaged or obscured while still being readable. There are four levels:
ERROR_CORRECT_L: About 7% or less errors can be corrected.
ERROR_CORRECT_M (default): About 15% or less.
ERROR_CORRECT_Q: About 25% or less.
ERROR_CORRECT_H: About 30% or less.
• box_size: Controls how many pixels each "box" of the QR code is.
• border: Controls the thickness of the white border around the code.

Let's create a customized QR code with a blue color, a thicker border, and high error correction.

import qrcode

# Data to be encoded
custom_data = "This is a custom QR code made with Python!"

# Instantiate the QRCode class with custom parameters
qr = qrcode.QRCode(
    version=1,
    error_correction=qrcode.constants.ERROR_CORRECT_H, # High error correction
    box_size=15,
    border=5,
)

# Add the data to the QR code instance
qr.add_data(custom_data)
qr.make(fit=True)

# Create the image with custom colors
# fill_color is the color of the QR code blocks
# back_color is the background color
img_custom = qr.make_image(fill_color="darkblue", back_color="white")

# Save the custom image
img_custom.save("custom_python_qr.png")

print("Customized QR code generated successfully and saved as 'custom_python_qr.png'")

In this example:
• We create a QRCode object with specific settings for version, error_correction, box_size, and border.
• We use qr.add_data() to add our content.
• qr.make(fit=True) finalizes the QR code structure.
• qr.make_image() generates the actual image object, where we can specify the colors.
• Finally, we save the resulting image.

---

Conclusion

You now have the tools to generate QR codes effortlessly using Python. You've learned how to create a quick, standard QR code with qrcode.make() and how to build a fully customized one using the QRCode class to control everything from size and durability to color.

#### What's Next?

• Integrate into Applications: Add QR code generation to a web application (e.g., a Flask or Django app) to create user-specific codes.
• Generate Different Content: Encode Wi-Fi network details, contact information (vCards), or calendar events.
• Dynamic Generation: Build a script that takes user input to generate QR codes on the fly.

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By: @DataScience4 ✨

🔰 Master File Paths with pathlib in Python

The pathlib module, introduced in Python 3.4, provides an object-oriented interface for working with filesystem paths. It makes your code cleaner, more readable, and platform-independent, saving you from the complexities of string manipulation that come with older modules like os.path.

---

#### Why Use pathlib?

• Object-Oriented: Paths are objects with methods, not just strings.
• Intuitive Operators: Use the / operator to join paths naturally.
• Platform Agnostic: Automatically handles differences between Windows (\) and Unix-like (/) path separators.
• Cleaner Code: Methods like .exists(), .is_file(), and .read_text() simplify common operations.

---

1. Creating a Path Object

The first step is to import the Path class and create an object representing a path on your filesystem.

from pathlib import Path

# Create a Path object
# This path might not exist yet, it's just an object representing it.
p = Path('/home/user/documents/report.txt')

2. Accessing Path Components

Once you have a Path object, you can easily inspect its various parts without any string splitting.

# Get the full file name including the extension
print(f"File Name: {p.name}")

# Get the parent directory
print(f"Parent Directory: {p.parent}")

# Get the file name without the extension
print(f"File Stem: {p.stem}")

# Get the file extension
print(f"File Suffix: {p.suffix}")

3. Checking Path Properties

pathlib makes it trivial to check the status of a path.

# Check if the path exists on the filesystem
print(f"Exists: {p.exists()}")

# Check if it's a file
print(f"Is File: {p.is_file()}")

# Check if it's a directory
print(f"Is Directory: {p.is_dir()}")

4. Manipulating Paths

Modifying paths is clean and intuitive. The / operator is used to join path components, and methods like .rename() handle file operations.

# Join paths using the '/' operator
new_dir = p.parent / 'archive'

# Create a new path by renaming the file
new_path = new_dir / 'old_report.txt'

print(f"New Path: {new_path}")

# To actually rename the file on the filesystem:
# p.rename(new_path)

5. Working with Directories

pathlib provides simple methods for creating and iterating over directories.

# Create a directory (and any necessary parent directories)
# exist_ok=True prevents an error if the directory already exists
archive_dir = Path('/home/user/documents/archive')
archive_dir.mkdir(parents=True, exist_ok=True)

# Find all .txt files in a directory
docs_dir = Path('/home/user/documents')
for file in docs_dir.glob('*.txt'):
    print(f"Found File: {file.name}")

---

Putting It All Together: A Complete Example

This script will perform all the operations discussed and generate the exact output shown in the prompt. For this to be a runnable example, it first creates a temporary directory structure and files.

import pathlib
import shutil

# --- Setup: Create a temporary directory and files for the demo ---
# We use a relative path './temp_docs' so it works anywhere
docs_dir = pathlib.Path("temp_docs")
if docs_dir.exists():
    shutil.rmtree(docs_dir) # Clean up from previous runs
docs_dir.mkdir()

# Create dummy files
(docs_dir / "report.txt").write_text("This is a test report.")
(docs_dir / "notes.txt").write_text("Some important notes.")
# ----------------------------------------------------------------

# 1. Create a Path object for our report file
file_path = docs_dir / "report.txt"

# 2. Inspect Path Components
print(f"File Name: {file_path.name}")
print(f"Parent Directory: {file_path.parent}")
print(f"File Stem: {file_path.stem}")
print(f"File Suffix: {file_path.suffix}")

# 3. Check Path Properties
print(f"Exists: {file_path.exists()}")
print(f"Is File: {file_path.is_file()}")
print(f"Is Directory: {file_path.is_dir()}")

# 4. Manipulate Paths and prepare for renaming/moving
archive_dir = docs_dir / "archive"
archive_dir.mkdir() # Create the 'archive' subdirectory
new_file_path = archive_dir / "old_report.txt"
print(f"New Path: {new_file_path}")

# To demonstrate renaming, let's rename the original file
file_path.rename(new_file_path)

# 5. Iterate over the original directory to find files
for found_file in sorted(docs_dir.glob("*.txt")):
    print(f"Found File: {found_file.name}")

# 6. Demonstrate a copy operation
# `pathlib` itself doesn't have a copy method, but works perfectly with `shutil`
source_file = docs_dir / "notes.txt"
destination_file = archive_dir / "notes_backup.txt"
shutil.copy(source_file, destination_file)
print("File copied successfully!")


# --- Cleanup: Remove the temporary directory ---
shutil.rmtree(docs_dir)
# -----------------------------------------------

This self-contained script first sets up a realistic file structure, then demonstrates the power and simplicity of pathlib to inspect, manipulate, and manage files and directories, cleaning up after itself when it's done.

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By: @DataScience4 ✨

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🔰 For Loop In Python (10 Best Tips & Tricks)

Here are 10 tips to help you write cleaner, more efficient, and more "Pythonic" for loops.

---

1️⃣. Use enumerate() for Index and Value

Instead of using range(len(sequence)) to get an index, enumerate gives you both the index and the item elegantly.

# Less Pythonic 👎
items = ["a", "b", "c"]
for i in range(len(items)):
    print(i, items[i])

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for i, item in enumerate(items):
    print(i, item)

---

2️⃣. Use zip() to Iterate Over Multiple Lists

To loop through two or more lists at the same time, zip() is the perfect tool. It stops when the shortest list runs out.

names = ["Alice", "Bob", "Charlie"]
ages = [25, 30, 35]

for name, age in zip(names, ages):
    print(f"{name} is {age} years old.")

---

3️⃣. Iterate Directly Over Dictionaries with .items()

To get both the key and value from a dictionary, use the .items() method. It's much cleaner than accessing the key and then looking up the value.

# Less Pythonic 👎
config = {"host": "localhost", "port": 8080}
for key in config:
    print(key, "->", config[key])

# More Pythonic 👍
for key, value in config.items():
    print(key, "->", value)

---

4️⃣. Use List Comprehensions for Simple Loops

If your for loop just creates a new list, a list comprehension is almost always a better choice. It's more concise and often faster.

# Standard for loop
squares = []
for i in range(5):
    squares.append(i * i)
# squares -> [0, 1, 4, 9, 16]

# List comprehension 👍
squares_comp = [i * i for i in range(5)]
# squares_comp -> [0, 1, 4, 9, 16]

---

5️⃣. Use the _ Underscore for Unused Variables

If you need to loop a certain number of times but don't care about the loop variable, use _ as a placeholder by convention.

# I don't need 'i', I just want to repeat 3 times
for _ in range(3):
    print("Hello!")

---

6️⃣. Unpack Tuples Directly in the Loop

If you're iterating over a list of tuples or lists, you can unpack the values directly into named variables for better readability.

points = [(1, 2), (3, 4), (5, 6)]

# Unpacking directly into x and y
for x, y in points:
    print(f"x: {x}, y: {y}")

---

7️⃣. Use break and a for-else Block

A for loop can have an else block that runs only if the loop completes without hitting a break. This is perfect for search operations.

numbers = [1, 3, 5, 7, 9]

for num in numbers:
    if num % 2 == 0:
        print("Even number found!")
        break
else:  # This runs only if the 'break' was never hit
    print("No even numbers in the list.")

---

8️⃣. Iterate Over a Copy to Safely Modify

Never modify a list while you are iterating over it directly. This can lead to skipped items. Instead, iterate over a copy.

# This will not work correctly! 👎
numbers = [1, 2, 3, 2, 4]
for num in numbers:
    if num == 2:
        numbers.remove(num) # Skips the second '2'

# Correct way: iterate over a slice copy [:] 👍
numbers = [1, 2, 3, 2, 4]
for num in numbers[:]:
    if num == 2:
        numbers.remove(num)
print(numbers) # [1, 3, 4]

---

9️⃣. Use reversed() for Reverse Iteration

To loop over a sequence in reverse, use the built-in reversed() function. It's more readable and efficient than creating a reversed slice.

# Less readable
items = ["a", "b", "c"]
for item in items[::-1]:
    print(item)

# More readable 👍
for item in reversed(items):
    print(item)

---

🔟. Use continue to Skip the Rest of an Iteration

The continue keyword ends the current iteration and moves to the next one. It's great for skipping items that don't meet a condition, reducing nested if statements.

# Using 'if'
for i in range(10):
    if i % 2 == 0:
        print(i, "is even")

# Using 'continue' can be cleaner
for i in range(10):
    if i % 2 != 0:
        continue  # Skip odd numbers
    print(i, "is even")

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By: @DataScience4 ✨

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