Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooksโ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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๐Ÿ”ฅ Trending Repository: HyDE

๐Ÿ“ Description: HyDE, your Development Environment ๐Ÿ–ฅ๏ธ๐Ÿ’ป

๐Ÿ”— Repository URL: https://github.com/HyDE-Project/HyDE

๐Ÿ“– Readme: https://github.com/HyDE-Project/HyDE#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 6.8K stars
๐Ÿ‘€ Watchers: 52
๐Ÿด Forks: 489 forks

๐Ÿ’ป Programming Languages: Shell - Python - GLSL - CSS - Vim Script - Nix

๐Ÿท๏ธ Related Topics:
#dynamic #themes #aesthetic #wallpapers #dark_mode #hyde #light_mode #unix_porn #hyprdots


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: librespot

๐Ÿ“ Description: Open Source Spotify client library

๐Ÿ”— Repository URL: https://github.com/librespot-org/librespot

๐Ÿ“– Readme: https://github.com/librespot-org/librespot#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 5.9K stars
๐Ÿ‘€ Watchers: 57
๐Ÿด Forks: 764 forks

๐Ÿ’ป Programming Languages: Rust

๐Ÿท๏ธ Related Topics:
#rust #spotify #spotify_connect #librespot


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๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
๐Ÿ”ฅ Trending Repository: Kimi-K2

๐Ÿ“ Description: Kimi K2 is the large language model series developed by Moonshot AI team

๐Ÿ”— Repository URL: https://github.com/MoonshotAI/Kimi-K2

๐Ÿ“– Readme: https://github.com/MoonshotAI/Kimi-K2#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 8.8K stars
๐Ÿ‘€ Watchers: 68
๐Ÿด Forks: 585 forks

๐Ÿ’ป Programming Languages: Not available

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: ImHex

๐Ÿ“ Description: ๐Ÿ” A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

๐Ÿ”— Repository URL: https://github.com/WerWolv/ImHex

๐ŸŒ Website: https://imhex.werwolv.net

๐Ÿ“– Readme: https://github.com/WerWolv/ImHex#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 51.1K stars
๐Ÿ‘€ Watchers: 508
๐Ÿด Forks: 2.3K forks

๐Ÿ’ป Programming Languages: C++ - CMake - Objective-C - C# - GLSL - Python

๐Ÿท๏ธ Related Topics:
#windows #c_plus_plus #multi_platform #cpp #static_analysis #reverse_engineering #disassembler #hacking #forensics #analyzer #hex_editor #cybersecurity #dear_imgui #binary_analysis #ips #hacktoberfest #dark_mode #pattern_language #mathematical_evaluator #dcode_2025


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: kotlin

๐Ÿ“ Description: The Kotlin Programming Language.

๐Ÿ”— Repository URL: https://github.com/JetBrains/kotlin

๐ŸŒ Website: https://kotlinlang.org

๐Ÿ“– Readme: https://github.com/JetBrains/kotlin#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 51.6K stars
๐Ÿ‘€ Watchers: 1.5k
๐Ÿด Forks: 6.1K forks

๐Ÿ’ป Programming Languages: Kotlin - Java - Swift - C - C++ - Objective-C++

๐Ÿท๏ธ Related Topics:
#kotlin #programming_language #compiler #webassembly #wasm #kotlin_library #maven_plugin #gradle_plugin #intellij_plugin


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: iptv

๐Ÿ“ Description: Collection of publicly available IPTV channels from all over the world

๐Ÿ”— Repository URL: https://github.com/iptv-org/iptv

๐ŸŒ Website: https://iptv-org.github.io

๐Ÿ“– Readme: https://github.com/iptv-org/iptv#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 99K stars
๐Ÿ‘€ Watchers: 2k
๐Ÿด Forks: 4.2K forks

๐Ÿ’ป Programming Languages: TypeScript - JavaScript

๐Ÿท๏ธ Related Topics:
#playlist #tv #streams #iptv #m3u


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๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
๐Ÿ”ฅ Trending Repository: OpCore-Simplify

๐Ÿ“ Description: A tool designed to simplify the creation of OpenCore EFI

๐Ÿ”— Repository URL: https://github.com/lzhoang2801/OpCore-Simplify

๐ŸŒ Website: https://lzhoang2801.github.io/gathering-files/opencore-efi

๐Ÿ“– Readme: https://github.com/lzhoang2801/OpCore-Simplify#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 2.2K stars
๐Ÿ‘€ Watchers: 35
๐Ÿด Forks: 211 forks

๐Ÿ’ป Programming Languages: Python - Batchfile - Shell

๐Ÿท๏ธ Related Topics:
#macos #hackintosh #opencore #hackintosh_efi #opencore_efi #lzhoang2601 #lzhoang2801 #opencoresimplify


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: open-source-games

๐Ÿ“ Description: A list of open source games.

๐Ÿ”— Repository URL: https://github.com/bobeff/open-source-games

๐Ÿ“– Readme: https://github.com/bobeff/open-source-games#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 2K stars
๐Ÿ‘€ Watchers: 40
๐Ÿด Forks: 147 forks

๐Ÿ’ป Programming Languages: Not available

๐Ÿท๏ธ Related Topics:
#open_source #games #awesome_list


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๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
๐Ÿ”ฅ Trending Repository: call-center-ai

๐Ÿ“ Description: Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!

๐Ÿ”— Repository URL: https://github.com/microsoft/call-center-ai

๐Ÿ“– Readme: https://github.com/microsoft/call-center-ai#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 1.4K stars
๐Ÿ‘€ Watchers: 20
๐Ÿด Forks: 265 forks

๐Ÿ’ป Programming Languages: Python - Bicep - Jinja - Makefile - Dockerfile

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: opencloud

๐Ÿ“ Description: ๐ŸŒค๏ธThis is the main repository of the OpenCloud server. It contains the golang codebase for the backend services.

๐Ÿ”— Repository URL: https://github.com/opencloud-eu/opencloud

๐ŸŒ Website: https://opencloud.eu

๐Ÿ“– Readme: https://github.com/opencloud-eu/opencloud#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 3.3K stars
๐Ÿ‘€ Watchers: 17
๐Ÿด Forks: 109 forks

๐Ÿ’ป Programming Languages: Go - Gherkin - PHP - JavaScript - Starlark - Makefile

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: dots-hyprland

๐Ÿ“ Description: uhh questioning the meaning of dotfiles

๐Ÿ”— Repository URL: https://github.com/end-4/dots-hyprland

๐ŸŒ Website: https://ii.clsty.link

๐Ÿ“– Readme: https://github.com/end-4/dots-hyprland#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 10.3K stars
๐Ÿ‘€ Watchers: 48
๐Ÿด Forks: 821 forks

๐Ÿ’ป Programming Languages: QML - Shell - Python - JavaScript - Emacs Lisp - Nix

๐Ÿท๏ธ Related Topics:
#linux #dotfiles #material_design #rice #wayland #ricing #unixporn #hyprland #quickshell


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: TrendRadar

๐Ÿ“ Description: ๐ŸŽฏ ๅ‘Šๅˆซไฟกๆฏ่ฟ‡่ฝฝ๏ผŒAI ๅŠฉไฝ ็œ‹ๆ‡‚ๆ–ฐ้—ป่ต„่ฎฏ็ƒญ็‚น๏ผŒ็ฎ€ๅ•็š„่ˆ†ๆƒ…็›‘ๆŽงๅˆ†ๆž - ๅคšๅนณๅฐ็ƒญ็‚น่šๅˆ+ๅŸบไบŽ MCP ็š„AIๅˆ†ๆžๅทฅๅ…ทใ€‚็›‘ๆŽง35ไธชๅนณๅฐ๏ผˆๆŠ–้Ÿณใ€็ŸฅไนŽใ€B็ซ™ใ€ๅŽๅฐ”่ก—่ง้—ปใ€่ดข่”็คพ็ญ‰๏ผ‰๏ผŒๆ™บ่ƒฝ็ญ›้€‰+่‡ชๅŠจๆŽจ้€+AIๅฏน่ฏๅˆ†ๆž๏ผˆ็”จ่‡ช็„ถ่ฏญ่จ€ๆทฑๅบฆๆŒ–ๆŽ˜ๆ–ฐ้—ป๏ผš่ถ‹ๅŠฟ่ฟฝ่ธชใ€ๆƒ…ๆ„Ÿๅˆ†ๆžใ€็›ธไผผๆฃ€็ดข็ญ‰13็งๅทฅๅ…ท๏ผ‰ใ€‚ๆ”ฏๆŒไผไธšๅพฎไฟก/้ฃžไนฆ/้’‰้’‰/Telegram/้‚ฎไปถ/ntfyๆŽจ้€๏ผŒ30็ง’็ฝ‘้กต้ƒจ็ฝฒ๏ผŒ1ๅˆ†้’Ÿๆ‰‹ๆœบ้€š็Ÿฅ๏ผŒๆ— ้œ€็ผ–็จ‹ใ€‚ๆ”ฏๆŒDocker้ƒจ็ฝฒโญ ่ฎฉ็ฎ—ๆณ•ไธบไฝ ๆœๅŠก๏ผŒ็”จAI็†่งฃ็ƒญ็‚น

๐Ÿ”— Repository URL: https://github.com/sansan0/TrendRadar

๐ŸŒ Website: https://github.com/sansan0

๐Ÿ“– Readme: https://github.com/sansan0/TrendRadar#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 6K stars
๐Ÿ‘€ Watchers: 21
๐Ÿด Forks: 4.5K forks

๐Ÿ’ป Programming Languages: Python - HTML - Batchfile - Shell - Dockerfile

๐Ÿท๏ธ Related Topics:
#python #docker #mail #news #telegram_bot #mcp #data_analysis #trending_topics #wechat_robot #dingtalk_robot #ntfy #hot_news #feishu_robot #mcp_server


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: serverless-dns

๐Ÿ“ Description: The RethinkDNS resolver that deploys to Cloudflare Workers, Deno Deploy, Fastly, and Fly.io

๐Ÿ”— Repository URL: https://github.com/serverless-dns/serverless-dns

๐ŸŒ Website: https://rethinkdns.com/configure

๐Ÿ“– Readme: https://github.com/serverless-dns/serverless-dns#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 2.8K stars
๐Ÿ‘€ Watchers: 15
๐Ÿด Forks: 2.1K forks

๐Ÿ’ป Programming Languages: JavaScript - TypeScript - Shell - Dockerfile

๐Ÿท๏ธ Related Topics:
#nodejs #serverless #workers #cloudflare #adblock #fastly #dns_over_https #doh #pihole #flyio #dns_over_tls #deno #cloudflare_workers #fastly_compute_at_edge


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: LEANN

๐Ÿ“ Description: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

๐Ÿ”— Repository URL: https://github.com/yichuan-w/LEANN

๐Ÿ“– Readme: https://github.com/yichuan-w/LEANN#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 3.9K stars
๐Ÿ‘€ Watchers: 34
๐Ÿด Forks: 403 forks

๐Ÿ’ป Programming Languages: Python

๐Ÿท๏ธ Related Topics:
#python #privacy #ai #offline_first #localstorage #vectors #faiss #rag #vector_search #vector_database #llm #langchain #llama_index #retrieval_augmented_generation #ollama #gpt_oss


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: adk-docs

๐Ÿ“ Description: An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

๐Ÿ”— Repository URL: https://github.com/google/adk-docs

๐ŸŒ Website: https://google.github.io/adk-docs/

๐Ÿ“– Readme: https://github.com/google/adk-docs#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 643 stars
๐Ÿ‘€ Watchers: 19
๐Ÿด Forks: 546 forks

๐Ÿ’ป Programming Languages: HTML - Go

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: PythonRobotics

๐Ÿ“ Description: Python sample codes and textbook for robotics algorithms.

๐Ÿ”— Repository URL: https://github.com/AtsushiSakai/PythonRobotics

๐ŸŒ Website: https://atsushisakai.github.io/PythonRobotics/

๐Ÿ“– Readme: https://github.com/AtsushiSakai/PythonRobotics#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 26.3K stars
๐Ÿ‘€ Watchers: 509
๐Ÿด Forks: 7K forks

๐Ÿ’ป Programming Languages: Python

๐Ÿท๏ธ Related Topics:
#python #algorithm #control #robot #localization #robotics #mapping #animation #path_planning #slam #autonomous_driving #autonomous_vehicles #ekf #hacktoberfest #cvxpy #autonomous_navigation


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: adk-web

๐Ÿ“ Description: Agent Development Kit Web (adk web) is the built-in developer UI that is integrated with Agent Development Kit for easier agent development and debugging.

๐Ÿ”— Repository URL: https://github.com/google/adk-web

๐ŸŒ Website: https://google.github.io/adk-docs/

๐Ÿ“– Readme: https://github.com/google/adk-web#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 414 stars
๐Ÿ‘€ Watchers: 11
๐Ÿด Forks: 140 forks

๐Ÿ’ป Programming Languages: TypeScript - SCSS - HTML - JavaScript

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: email-verification-protocol

๐Ÿ“ Description: verified autofill

๐Ÿ”— Repository URL: https://github.com/WICG/email-verification-protocol

๐Ÿ“– Readme: https://github.com/WICG/email-verification-protocol#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 239 stars
๐Ÿ‘€ Watchers: 9
๐Ÿด Forks: 12 forks

๐Ÿ’ป Programming Languages: Not available

๐Ÿท๏ธ Related Topics: Not available

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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ Email Sending Automation

Streamlining the dispatch of digital correspondence has become an indispensable practice in today's interconnected landscape. This guide illuminates the path to programmatic dispatch, making it accessible for anyone frequently engaged in broadcasting information or marketing dispatches to a diverse audience.

The Foundation: Why Automate?

The manual dispatch of electronic messages, especially when targeting a large number of recipients, is tedious, error-prone, and inefficient. Programmatic dispatch transforms this chore into a swift, repeatable operation. It ensures consistency, saves valuable time, and allows for personalized communications at scale, turning a daunting task into a manageable workflow.

Essential Components for Dispatch

At its core, dispatching electronic messages programmatically involves a few key elements:

โ€ข SMTP Server: The Simple Mail Transfer Protocol (SMTP) server is the digital post office responsible for sending out messages. Services like Gmail, Outlook, and others provide SMTP access.
โ€ข Authentication: To use an SMTP server, one typically needs a sender's address and a corresponding password or app-specific password for secure access.
โ€ข Libraries: Python offers robust built-in modules, primarily smtplib for handling the server communication and email for constructing complex message structures.
โ€ข Recipient Data: A structured collection of receiver addresses, often from a file (like a CSV) or a database, is crucial for bulk dispatch.
โ€ข Message Content: This includes the subject line, the body of the message (plain text or formatted HTML), and any attachments.

Basic Text Dispatch

Let's begin with a simple example of dispatching a plain text message.

import smtplib
from email.mime.text import MIMEText
import os

# Configuration details (use environment variables for security)
sender_email = os.environ.get("SENDER_EMAIL")
sender_password = os.environ.get("SENDER_PASSWORD")
smtp_server = "smtp.gmail.com" # Example for Gmail
smtp_port = 587 # TLS port

def send_plain_text_message(recipient_address, subject_line, message_body):
try:
# Create a new message object
msg = MIMEText(message_body)
msg["Subject"] = subject_line
msg["From"] = sender_email
msg["To"] = recipient_address

# Establish a secure connection to the SMTP server
with smtplib.SMTP(smtp_server, smtp_port) as server:
server.starttls() # Enable Transport Layer Security
server.login(sender_email, sender_password)
server.send_message(msg)
print(f"Message successfully sent to {recipient_address}")
except Exception as e:
print(f"Error dispatching to {recipient_address}: {e}")

# Usage example
# Set these as environment variables before running:
# export SENDER_EMAIL="[email protected]"
# export SENDER_PASSWORD="your_app_password"
# (For Gmail, generate an app password from Google Account security settings)
# send_plain_text_message("[email protected]", "Hello from Python!", "This is a test message from our dispatch script.")

This fundamental script connects, authenticates, composes, and sends a simple text-based communication.

Rich Content and Attachments

For more sophisticated communications, such as those with styling, images, or attached files, the email.mime submodules are essential. We use MIMEMultipart to create a container for different parts of the message.
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders
import os
import smtplib

# Reusing sender details from above

def send_rich_message_with_attachment(recipient_address, subject_line, html_body, file_path=None):
try:
msg = MIMEMultipart()
msg["From"] = sender_email
msg["To"] = recipient_address
msg["Subject"] = subject_line

# Attach HTML body
msg.attach(MIMEText(html_body, "html"))

# Attach a file if provided
if file_path:
with open(file_path, "rb") as attachment:
part = MIMEBase("application", "octet-stream")
part.set_payload(attachment.read())
encoders.encode_base64(part)
part.add_header(
"Content-Disposition",
f"attachment; filename= {os.path.basename(file_path)}",
)
msg.attach(part)

with smtplib.SMTP(smtp_server, smtp_port) as server:
server.starttls()
server.login(sender_email, sender_password)
server.send_message(msg)
print(f"Rich message successfully sent to {recipient_address}")
except Exception as e:
print(f"Error dispatching rich message to {recipient_address}: {e}")

# Usage example
# html_content = """
# <html>
# <body>
# <p>Hi there,</p>
# <p>This is an <b>HTML-formatted</b> message dispatched via Python!</p>
# <p>Best regards,<br>The Dispatch System</p>
# </body>
# </html>
# """
# # Create a dummy file for testing attachment
# # with open("report.txt", "w") as f:
# # f.write("This is a test report content.")
# # send_rich_message_with_attachment("[email protected]", "Your Custom HTML Dispatch with Attachment", html_content, "report.txt")

This expanded example demonstrates how to build a message containing both rich text and an arbitrary file attachment, providing much greater flexibility for communication.

Handling Multiple Receivers and Personalization

For broadcasting to many individuals, integrate a loop that reads receiver information from a source. Each iteration can dispatch a unique, personalized message.

import csv
import time # For rate limiting

def send_bulk_messages(recipient_data_file, subject_template, body_template):
with open(recipient_data_file, mode='r', newline='') as file:
reader = csv.DictReader(file)
for row in reader:
recipient_address = row["email"]
name = row.get("name", "Recipient") # Default if 'name' not in CSV

# Personalize subject and body
personalized_subject = subject_template.format(name=name)
personalized_body = body_template.format(name=name)

send_plain_text_message(recipient_address, personalized_subject, personalized_body)
time.sleep(2) # Pause to avoid hitting server rate limits

# Usage Example:
# Create a CSV file named 'recipients.csv'
# email,name
# [email protected],Alice
# [email protected],Bob
# [email protected],Charlie

# subject = "Hello, {name} from Our System!"
# body = "Dear {name},\n\nWe hope this message finds you well. This is a personalized update.\n\nRegards,\nTeam Automation"
# send_bulk_messages("recipients.csv", subject, body)

This structure allows for highly targeted and personalized mass communications, where each individual receives content tailored with their specific details.

Considerations for Robustness and Security