✨ Quiz: Build a Python MCP Client to Test Servers From Your Terminal ✨
📖 Learn how to create a Python MCP client, start an AI-powered chat session, and run it from the command line. Check your understanding.
🏷️ #intermediate #ai #projects
📖 Learn how to create a Python MCP client, start an AI-powered chat session, and run it from the command line. Check your understanding.
🏷️ #intermediate #ai #projects
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Ready Python script: takes a regular PDF and creates a password-protected copy.
pip install PyPDF2
from __future__ import annotations
from pathlib import Path
from typing import Union
from PyPDF2 import PdfReader, PdfWriter
PDFPath = Union[str, Path]
def encrypt_pdf(input_path: PDFPath, output_path: PDFPath, password: str) -> Path:
"""
Encrypts a PDF file with a password and saves it to output_path.
Returns the path to the encrypted file.
"""
in_path = Path(input_path)
out_path = Path(output_path)
reader = PdfReader(in_path)
writer = PdfWriter()
for page in reader.pages:
writer.add_page(page)
writer.encrypt(password)
with out_path.open("wb") as f:
writer.write(f)
return out_path
def encrypt_with_suffix(input_path: PDFPath, password: str, suffix: str = "_encrypted") -> Path:
"""
Creates an encrypted copy next to the original file.
For example: secret.pdf → secret_encrypted.pdf
"""
in_path = Path(input_path)
output_path = in_path.with_name(f"{in_path.stem}{suffix}{in_path.suffix}")
return encrypt_pdf(in_path, output_path, password)
if __name__ == "__main__":
pdf_file = "secret.pdf"
pdf_password = "pythontoday"
encrypted_path = encrypt_with_suffix(pdf_file, pdf_password)
print(f"Encrypted file created: {encrypted_path}")
#python #code #tipsandtricks
https://t.me/DataScience4
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How to create a sinusoidal wave in Python using Bokeh and NumPy 🐍
👉 @DataScience4
import numpy as np
from bokeh.layouts import gridplot
from bokeh.plotting import figure, output_file, show
N = 100
x = np.linspace(0, 4 * np.pi, N)
y0 = np.sin(x)
output_file('sinewave.html')
sine = figure(width=500, plot_height=500, title='Sine')
sine.circle(x, y0, size=10, color="navy", alpha=0.5)
p = gridplot([[sine]], toolbar_location=None)
show(p)
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✨ Sponsorship Opportunities ✨
📖 By sponsoring Real Python you will reach a demographic of Python software engineers dedicated to improving their craft and their professional careers. We offer our clients multiple touchpoints across our platforms, ensuring your message cuts through to our audience.
🏷️ #Python
📖 By sponsoring Real Python you will reach a demographic of Python software engineers dedicated to improving their craft and their professional careers. We offer our clients multiple touchpoints across our platforms, ensuring your message cuts through to our audience.
🏷️ #Python
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Forwarded from Machine Learning with Python
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✨ latency | AI Coding Glossary ✨
📖 The elapsed time between a request and the observable response.
🏷️ #Python
📖 The elapsed time between a request and the observable response.
🏷️ #Python
✨ telemetry | AI Coding Glossary ✨
📖 The automated collection and transmission of measurements or event data from remote or distributed systems.
🏷️ #Python
📖 The automated collection and transmission of measurements or event data from remote or distributed systems.
🏷️ #Python
👍1
Forwarded from Machine Learning with Python
🚀 THE 7-DAY PROFIT CHALLENGE! 🚀
Can you turn $100 into $5,000 in just 7 days?
Lisa can. And she’s challenging YOU to do the same. 👇
https://t.me/+AOPQVJRWlJc5ZGRi
https://t.me/+AOPQVJRWlJc5ZGRi
https://t.me/+AOPQVJRWlJc5ZGRi
Can you turn $100 into $5,000 in just 7 days?
Lisa can. And she’s challenging YOU to do the same. 👇
https://t.me/+AOPQVJRWlJc5ZGRi
https://t.me/+AOPQVJRWlJc5ZGRi
https://t.me/+AOPQVJRWlJc5ZGRi
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🏆 Build Backend APIs with DRF
📢 Build powerful backend APIs effortlessly! This guide teaches you to unlock Django's full potential using the Django REST Framework (DRF).
⚡ Tap to unlock the complete answer and gain instant insight.
━━━━━━━━━━━━━━━
By: @DataScience4 ✨
📢 Build powerful backend APIs effortlessly! This guide teaches you to unlock Django's full potential using the Django REST Framework (DRF).
⚡ Tap to unlock the complete answer and gain instant insight.
━━━━━━━━━━━━━━━
By: @DataScience4 ✨
Telegraph
Build Backend APIs with DRF
📌 How to Use the Django REST Framework - Build Backend APIs with DRF
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✨ large reasoning model (LRM) | AI Coding Glossary ✨
📖 A language model optimized for multi-step problem solving.
🏷️ #Python
📖 A language model optimized for multi-step problem solving.
🏷️ #Python
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#PyWhatKit is one of the most popular libraries for automating #WhatsApp and #YouTube.
Repository link: https://github.com/Ankit404butfound/PyWhatKit
👉 @DataScience4
Repository link: https://github.com/Ankit404butfound/PyWhatKit
👉 @DataScience4
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Oxylabs is a fairly well-known company in the web scraping field with ten years of experience.
They have released a Python package for web parsing. With its help, you can extract data from e-commerce sites, search engines, real estate services, and much more.
Here is a simple example of parsing Bing results:
Oxylabs can work with almost any websites, but they have separate, more specialized APIs for popular platforms:
- Amazon
- Google
- Google Shopping
- Bing
- Kroger
- Wayfair
- YouTube Transcript
You can learn more about Oxylabs on their website
If you only need the Python package for web scraping, it can be found on GitHub
👉 @DataScience4
They have released a Python package for web parsing. With its help, you can extract data from e-commerce sites, search engines, real estate services, and much more.
Here is a simple example of parsing Bing results:
from oxylabs import RealtimeClient
# Specify credentials for Oxylabs API authorization
username = "username"
password = "password"
# Create a Realtime client with our credentials
client = RealtimeClient(username, password)
# Use bing_search to get Bing results for the query "nike"
result = client.bing.scrape_search("nike")
# Print raw data (as is)
print(result.raw)
Oxylabs can work with almost any websites, but they have separate, more specialized APIs for popular platforms:
- Amazon
- Google Shopping
- Bing
- Kroger
- Wayfair
- YouTube Transcript
You can learn more about Oxylabs on their website
If you only need the Python package for web scraping, it can be found on GitHub
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✨ Devin | AI Coding Tools ✨
📖 An AI coding agent that acts as a collaborative software engineering teammate.
🏷️ #Python
📖 An AI coding agent that acts as a collaborative software engineering teammate.
🏷️ #Python
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Regardless of whether your app is on desktop, mobile, TV, or Unity platforms, no matter which app monetization tools you’re using, PacketSDK can bring you additional revenue!
● Working Principle: Convert your app's active users into profits 👥→💵
● Product Features: Ad-free monetization 🚫, no user interference
● Additional Revenue: Fully compatible with your existing ad SDKs
● CCPA & GDPR: Based on user consent, no collection of any personal data 🔒
● Easy Integration: Only a few simple steps, taking approximately 30 minutes
Join us:https://www.packetsdk.com/?utm-source=SyWayQNK
Contact us & Estimated income:
Telegram:@Packet_SDK
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To quickly get the minimum and maximum value from a sequence, use the built-in functions
min() and max(). Both support the
default parameter — it sets the default value if the sequence is empty. Subscribe for more tips every day!
numbers = [3, 7, 2, 9]
print(min(numbers)) # 2
print(max(numbers)) # 9
# example with an empty list
print(min([], default=0)) # 0
print(max([], default=0)) # 0
https://t.me/DataScience4
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