✨ Topic: Python Data Science ✨
📖 Explore all Python data science tutorials. Learn how to analyze and visualize data using Python. With these skills, you can derive insights from large data sets and make data-driven decisions.
🏷️ #140_resources
📖 Explore all Python data science tutorials. Learn how to analyze and visualize data using Python. With these skills, you can derive insights from large data sets and make data-driven decisions.
🏷️ #140_resources
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Found a useful library for Python — Translators.
This is a module that allows you to translate text for free and massively through a bunch of external engines: Google, Yandex, Bing, Baidu, Tencent, DeepL, Reverso, Papago, and a bunch of other services, including even Argos and Iflytek.😨
It works with dozens of languages (Russian, English, Spanish, Chinese, German, and others). Usage is simple and does not require complex setup.
Installation:
or simpler:
GitHub: github.com/UlionTse/translators
👉 @DataScience4
This is a module that allows you to translate text for free and massively through a bunch of external engines: Google, Yandex, Bing, Baidu, Tencent, DeepL, Reverso, Papago, and a bunch of other services, including even Argos and Iflytek.
It works with dozens of languages (Russian, English, Spanish, Chinese, German, and others). Usage is simple and does not require complex setup.
Installation:
git clone https://github.com/UlionTse/translators.git
cd translators
python setup.py install
or simpler:
pip install --upgrade translators
GitHub: github.com/UlionTse/translators
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🏆 Build Rock Paper Scissors: Python Project!
📢 Master Python basics! Build a Rock Paper Scissors game. Perfect for beginners to learn random choices and conditional logic.
⚡ Tap to unlock the complete answer and gain instant insight.
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By: @DataScience4 ✨
📢 Master Python basics! Build a Rock Paper Scissors game. Perfect for beginners to learn random choices and conditional logic.
⚡ Tap to unlock the complete answer and gain instant insight.
━━━━━━━━━━━━━━━
By: @DataScience4 ✨
Telegraph
Build Rock Paper Scissors: Python Project!
Implementing the Rock Paper Scissors Game in Python
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Clean code tip in Python:
Use .get() to access a value by key in a dictionary with a default value.
This makes the code shorter and clearer.
The method returns the value for the key if it exists, otherwise it returns the specified default value.
Example:
👉 @DataScience4
Use .get() to access a value by key in a dictionary with a default value.
This makes the code shorter and clearer.
The method returns the value for the key if it exists, otherwise it returns the specified default value.
Example:
user_info = {
"username": "john_doe",
"email": "john@example.com",
# the key "role" is missing
}
email = user_info.get("email", None) # Result: "john@example.com"
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📖 Test your understanding of quantum computing basics, including superposition, qubits, entanglement, and key programming concepts.
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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
#### 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
---
Step 1: Installation
To get started, you need to install the
Open your terminal or command prompt and run the following command:
This command installs both the
---
Step 2: Creating a Simple QR Code
The quickest way to generate a QR code is by using the
Let's create a QR code that encodes the URL to the official Python website.
• Create a new Python file (e.g.,
• Add the following code:
When you run this script, it will create a file named
---
Step 3: Advanced Customization
For more control over the appearance and functionality of your QR code, you can use the
•
•
•
•
Let's create a customized QR code with a blue color, a thicker border, and high error correction.
🗂 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.
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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 ✨
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🔰 Master File Paths with
The
---
#### Why Use
• Object-Oriented: Paths are objects with methods, not just strings.
• Intuitive Operators: Use the
• Platform Agnostic: Automatically handles differences between Windows (
• Cleaner Code: Methods like
---
1. Creating a Path Object
The first step is to import the
2. Accessing Path Components
Once you have a
3. Checking Path Properties
4. Manipulating Paths
Modifying paths is clean and intuitive. The
5. Working with Directories
---
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.
pathlib in PythonThe
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.
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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.━━━━━━━━━━━━━━━
By: @DataScience4 ✨
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✨ Quiz: How to Use Google's Gemini CLI for AI Code Assistance ✨
📖 Learn how to install, authenticate, and safely use the Gemini CLI to interact with Google's Gemini models.
🏷️ #intermediate #ai #tools
📖 Learn how to install, authenticate, and safely use the Gemini CLI to interact with Google's Gemini models.
🏷️ #intermediate #ai #tools
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