🔥 Trending Repository: ImHex
📝 Description: 🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
🔗 Repository URL: https://github.com/WerWolv/ImHex
🌐 Website: https://imhex.werwolv.net
📖 Readme: https://github.com/WerWolv/ImHex#readme
📊 Statistics:
🌟 Stars: 51.1K stars
👀 Watchers: 508
🍴 Forks: 2.3K forks
💻 Programming Languages: C++ - CMake - Objective-C - C# - GLSL - Python
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: 🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
🔗 Repository URL: https://github.com/WerWolv/ImHex
🌐 Website: https://imhex.werwolv.net
📖 Readme: https://github.com/WerWolv/ImHex#readme
📊 Statistics:
🌟 Stars: 51.1K stars
👀 Watchers: 508
🍴 Forks: 2.3K forks
💻 Programming Languages: C++ - CMake - Objective-C - C# - GLSL - Python
🏷️ 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
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: kotlin
📝 Description: The Kotlin Programming Language.
🔗 Repository URL: https://github.com/JetBrains/kotlin
🌐 Website: https://kotlinlang.org
📖 Readme: https://github.com/JetBrains/kotlin#readme
📊 Statistics:
🌟 Stars: 51.6K stars
👀 Watchers: 1.5k
🍴 Forks: 6.1K forks
💻 Programming Languages: Kotlin - Java - Swift - C - C++ - Objective-C++
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: The Kotlin Programming Language.
🔗 Repository URL: https://github.com/JetBrains/kotlin
🌐 Website: https://kotlinlang.org
📖 Readme: https://github.com/JetBrains/kotlin#readme
📊 Statistics:
🌟 Stars: 51.6K stars
👀 Watchers: 1.5k
🍴 Forks: 6.1K forks
💻 Programming Languages: Kotlin - Java - Swift - C - C++ - Objective-C++
🏷️ Related Topics:
#kotlin #programming_language #compiler #webassembly #wasm #kotlin_library #maven_plugin #gradle_plugin #intellij_plugin
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: iptv
📝 Description: Collection of publicly available IPTV channels from all over the world
🔗 Repository URL: https://github.com/iptv-org/iptv
🌐 Website: https://iptv-org.github.io
📖 Readme: https://github.com/iptv-org/iptv#readme
📊 Statistics:
🌟 Stars: 99K stars
👀 Watchers: 2k
🍴 Forks: 4.2K forks
💻 Programming Languages: TypeScript - JavaScript
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Collection of publicly available IPTV channels from all over the world
🔗 Repository URL: https://github.com/iptv-org/iptv
🌐 Website: https://iptv-org.github.io
📖 Readme: https://github.com/iptv-org/iptv#readme
📊 Statistics:
🌟 Stars: 99K stars
👀 Watchers: 2k
🍴 Forks: 4.2K forks
💻 Programming Languages: TypeScript - JavaScript
🏷️ Related Topics:
#playlist #tv #streams #iptv #m3u
==================================
🧠 By: https://t.iss.one/DataScienceM
❤1
🔥 Trending Repository: OpCore-Simplify
📝 Description: A tool designed to simplify the creation of OpenCore EFI
🔗 Repository URL: https://github.com/lzhoang2801/OpCore-Simplify
🌐 Website: https://lzhoang2801.github.io/gathering-files/opencore-efi
📖 Readme: https://github.com/lzhoang2801/OpCore-Simplify#readme
📊 Statistics:
🌟 Stars: 2.2K stars
👀 Watchers: 35
🍴 Forks: 211 forks
💻 Programming Languages: Python - Batchfile - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: A tool designed to simplify the creation of OpenCore EFI
🔗 Repository URL: https://github.com/lzhoang2801/OpCore-Simplify
🌐 Website: https://lzhoang2801.github.io/gathering-files/opencore-efi
📖 Readme: https://github.com/lzhoang2801/OpCore-Simplify#readme
📊 Statistics:
🌟 Stars: 2.2K stars
👀 Watchers: 35
🍴 Forks: 211 forks
💻 Programming Languages: Python - Batchfile - Shell
🏷️ Related Topics:
#macos #hackintosh #opencore #hackintosh_efi #opencore_efi #lzhoang2601 #lzhoang2801 #opencoresimplify
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: open-source-games
📝 Description: A list of open source games.
🔗 Repository URL: https://github.com/bobeff/open-source-games
📖 Readme: https://github.com/bobeff/open-source-games#readme
📊 Statistics:
🌟 Stars: 2K stars
👀 Watchers: 40
🍴 Forks: 147 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: A list of open source games.
🔗 Repository URL: https://github.com/bobeff/open-source-games
📖 Readme: https://github.com/bobeff/open-source-games#readme
📊 Statistics:
🌟 Stars: 2K stars
👀 Watchers: 40
🍴 Forks: 147 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#open_source #games #awesome_list
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: call-center-ai
📝 Description: Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!
🔗 Repository URL: https://github.com/microsoft/call-center-ai
📖 Readme: https://github.com/microsoft/call-center-ai#readme
📊 Statistics:
🌟 Stars: 1.4K stars
👀 Watchers: 20
🍴 Forks: 265 forks
💻 Programming Languages: Python - Bicep - Jinja - Makefile - Dockerfile
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!
🔗 Repository URL: https://github.com/microsoft/call-center-ai
📖 Readme: https://github.com/microsoft/call-center-ai#readme
📊 Statistics:
🌟 Stars: 1.4K stars
👀 Watchers: 20
🍴 Forks: 265 forks
💻 Programming Languages: Python - Bicep - Jinja - Makefile - Dockerfile
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: opencloud
📝 Description: 🌤️This is the main repository of the OpenCloud server. It contains the golang codebase for the backend services.
🔗 Repository URL: https://github.com/opencloud-eu/opencloud
🌐 Website: https://opencloud.eu
📖 Readme: https://github.com/opencloud-eu/opencloud#readme
📊 Statistics:
🌟 Stars: 3.3K stars
👀 Watchers: 17
🍴 Forks: 109 forks
💻 Programming Languages: Go - Gherkin - PHP - JavaScript - Starlark - Makefile
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: 🌤️This is the main repository of the OpenCloud server. It contains the golang codebase for the backend services.
🔗 Repository URL: https://github.com/opencloud-eu/opencloud
🌐 Website: https://opencloud.eu
📖 Readme: https://github.com/opencloud-eu/opencloud#readme
📊 Statistics:
🌟 Stars: 3.3K stars
👀 Watchers: 17
🍴 Forks: 109 forks
💻 Programming Languages: Go - Gherkin - PHP - JavaScript - Starlark - Makefile
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: dots-hyprland
📝 Description: uhh questioning the meaning of dotfiles
🔗 Repository URL: https://github.com/end-4/dots-hyprland
🌐 Website: https://ii.clsty.link
📖 Readme: https://github.com/end-4/dots-hyprland#readme
📊 Statistics:
🌟 Stars: 10.3K stars
👀 Watchers: 48
🍴 Forks: 821 forks
💻 Programming Languages: QML - Shell - Python - JavaScript - Emacs Lisp - Nix
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: uhh questioning the meaning of dotfiles
🔗 Repository URL: https://github.com/end-4/dots-hyprland
🌐 Website: https://ii.clsty.link
📖 Readme: https://github.com/end-4/dots-hyprland#readme
📊 Statistics:
🌟 Stars: 10.3K stars
👀 Watchers: 48
🍴 Forks: 821 forks
💻 Programming Languages: QML - Shell - Python - JavaScript - Emacs Lisp - Nix
🏷️ Related Topics:
#linux #dotfiles #material_design #rice #wayland #ricing #unixporn #hyprland #quickshell
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: TrendRadar
📝 Description: 🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/飞书/钉钉/Telegram/邮件/ntfy推送,30秒网页部署,1分钟手机通知,无需编程。支持Docker部署⭐ 让算法为你服务,用AI理解热点
🔗 Repository URL: https://github.com/sansan0/TrendRadar
🌐 Website: https://github.com/sansan0
📖 Readme: https://github.com/sansan0/TrendRadar#readme
📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 21
🍴 Forks: 4.5K forks
💻 Programming Languages: Python - HTML - Batchfile - Shell - Dockerfile
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: 🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/飞书/钉钉/Telegram/邮件/ntfy推送,30秒网页部署,1分钟手机通知,无需编程。支持Docker部署⭐ 让算法为你服务,用AI理解热点
🔗 Repository URL: https://github.com/sansan0/TrendRadar
🌐 Website: https://github.com/sansan0
📖 Readme: https://github.com/sansan0/TrendRadar#readme
📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 21
🍴 Forks: 4.5K forks
💻 Programming Languages: Python - HTML - Batchfile - Shell - Dockerfile
🏷️ Related Topics:
#python #docker #mail #news #telegram_bot #mcp #data_analysis #trending_topics #wechat_robot #dingtalk_robot #ntfy #hot_news #feishu_robot #mcp_server
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: serverless-dns
📝 Description: The RethinkDNS resolver that deploys to Cloudflare Workers, Deno Deploy, Fastly, and Fly.io
🔗 Repository URL: https://github.com/serverless-dns/serverless-dns
🌐 Website: https://rethinkdns.com/configure
📖 Readme: https://github.com/serverless-dns/serverless-dns#readme
📊 Statistics:
🌟 Stars: 2.8K stars
👀 Watchers: 15
🍴 Forks: 2.1K forks
💻 Programming Languages: JavaScript - TypeScript - Shell - Dockerfile
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: The RethinkDNS resolver that deploys to Cloudflare Workers, Deno Deploy, Fastly, and Fly.io
🔗 Repository URL: https://github.com/serverless-dns/serverless-dns
🌐 Website: https://rethinkdns.com/configure
📖 Readme: https://github.com/serverless-dns/serverless-dns#readme
📊 Statistics:
🌟 Stars: 2.8K stars
👀 Watchers: 15
🍴 Forks: 2.1K forks
💻 Programming Languages: JavaScript - TypeScript - Shell - Dockerfile
🏷️ Related Topics:
#nodejs #serverless #workers #cloudflare #adblock #fastly #dns_over_https #doh #pihole #flyio #dns_over_tls #deno #cloudflare_workers #fastly_compute_at_edge
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: LEANN
📝 Description: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
🔗 Repository URL: https://github.com/yichuan-w/LEANN
📖 Readme: https://github.com/yichuan-w/LEANN#readme
📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 34
🍴 Forks: 403 forks
💻 Programming Languages: Python
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
🔗 Repository URL: https://github.com/yichuan-w/LEANN
📖 Readme: https://github.com/yichuan-w/LEANN#readme
📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 34
🍴 Forks: 403 forks
💻 Programming Languages: Python
🏷️ 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
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: adk-docs
📝 Description: An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
🔗 Repository URL: https://github.com/google/adk-docs
🌐 Website: https://google.github.io/adk-docs/
📖 Readme: https://github.com/google/adk-docs#readme
📊 Statistics:
🌟 Stars: 643 stars
👀 Watchers: 19
🍴 Forks: 546 forks
💻 Programming Languages: HTML - Go
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
🔗 Repository URL: https://github.com/google/adk-docs
🌐 Website: https://google.github.io/adk-docs/
📖 Readme: https://github.com/google/adk-docs#readme
📊 Statistics:
🌟 Stars: 643 stars
👀 Watchers: 19
🍴 Forks: 546 forks
💻 Programming Languages: HTML - Go
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: PythonRobotics
📝 Description: Python sample codes and textbook for robotics algorithms.
🔗 Repository URL: https://github.com/AtsushiSakai/PythonRobotics
🌐 Website: https://atsushisakai.github.io/PythonRobotics/
📖 Readme: https://github.com/AtsushiSakai/PythonRobotics#readme
📊 Statistics:
🌟 Stars: 26.3K stars
👀 Watchers: 509
🍴 Forks: 7K forks
💻 Programming Languages: Python
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Python sample codes and textbook for robotics algorithms.
🔗 Repository URL: https://github.com/AtsushiSakai/PythonRobotics
🌐 Website: https://atsushisakai.github.io/PythonRobotics/
📖 Readme: https://github.com/AtsushiSakai/PythonRobotics#readme
📊 Statistics:
🌟 Stars: 26.3K stars
👀 Watchers: 509
🍴 Forks: 7K forks
💻 Programming Languages: Python
🏷️ Related Topics:
#python #algorithm #control #robot #localization #robotics #mapping #animation #path_planning #slam #autonomous_driving #autonomous_vehicles #ekf #hacktoberfest #cvxpy #autonomous_navigation
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: adk-web
📝 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.
🔗 Repository URL: https://github.com/google/adk-web
🌐 Website: https://google.github.io/adk-docs/
📖 Readme: https://github.com/google/adk-web#readme
📊 Statistics:
🌟 Stars: 414 stars
👀 Watchers: 11
🍴 Forks: 140 forks
💻 Programming Languages: TypeScript - SCSS - HTML - JavaScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 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.
🔗 Repository URL: https://github.com/google/adk-web
🌐 Website: https://google.github.io/adk-docs/
📖 Readme: https://github.com/google/adk-web#readme
📊 Statistics:
🌟 Stars: 414 stars
👀 Watchers: 11
🍴 Forks: 140 forks
💻 Programming Languages: TypeScript - SCSS - HTML - JavaScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: email-verification-protocol
📝 Description: verified autofill
🔗 Repository URL: https://github.com/WICG/email-verification-protocol
📖 Readme: https://github.com/WICG/email-verification-protocol#readme
📊 Statistics:
🌟 Stars: 239 stars
👀 Watchers: 9
🍴 Forks: 12 forks
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: verified autofill
🔗 Repository URL: https://github.com/WICG/email-verification-protocol
📖 Readme: https://github.com/WICG/email-verification-protocol#readme
📊 Statistics:
🌟 Stars: 239 stars
👀 Watchers: 9
🍴 Forks: 12 forks
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceM
🐍 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:
• 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.
• Authentication: To use an SMTP server, one typically needs a sender's address and a corresponding password or app-specific password for secure access.
• Libraries: Python offers robust built-in modules, primarily
• Recipient Data: A structured collection of receiver addresses, often from a file (like a CSV) or a database, is crucial for bulk dispatch.
• 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.
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
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:
• 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.
• Authentication: To use an SMTP server, one typically needs a sender's address and a corresponding password or app-specific password for secure access.
• Libraries: Python offers robust built-in modules, primarily
smtplib for handling the server communication and email for constructing complex message structures.• Recipient Data: A structured collection of receiver addresses, often from a file (like a CSV) or a database, is crucial for bulk dispatch.
• 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
• Error Handling: Always wrap dispatch logic in
• Security: Never hardcode credentials directly in scripts. Use environment variables (
• Rate Limits: SMTP servers impose limits on the number of messages one can send per hour or day. Implement pauses (
• Opt-Outs: For promotional dispatches, ensure compliance with regulations (like GDPR, CAN-SPAM) by including clear unsubscribe options.
Concluding Thoughts
Automating electronic message dispatch empowers users to scale their communication efforts with remarkable efficiency. By leveraging Python's native capabilities, anyone can construct a powerful, flexible system for broadcasting anything from routine updates to extensive promotional campaigns. The journey into programmatic dispatch unveils a world of streamlined operations and enhanced communicative reach.
#python #automation #email #smtplib #emailautomation #programming #scripting #communication #developer #efficiency
━━━━━━━━━━━━━━━
By: @DataScienceN ✨
try-except blocks to gracefully handle network issues, authentication failures, or incorrect receiver addresses.• Security: Never hardcode credentials directly in scripts. Use environment variables (
os.environ.get()) or a secure configuration management system. Ensure starttls() is called for encrypted communication.• Rate Limits: SMTP servers impose limits on the number of messages one can send per hour or day. Implement pauses (
time.sleep()) between dispatches to respect these limits and avoid being flagged as a spammer.• Opt-Outs: For promotional dispatches, ensure compliance with regulations (like GDPR, CAN-SPAM) by including clear unsubscribe options.
Concluding Thoughts
Automating electronic message dispatch empowers users to scale their communication efforts with remarkable efficiency. By leveraging Python's native capabilities, anyone can construct a powerful, flexible system for broadcasting anything from routine updates to extensive promotional campaigns. The journey into programmatic dispatch unveils a world of streamlined operations and enhanced communicative reach.
#python #automation #email #smtplib #emailautomation #programming #scripting #communication #developer #efficiency
━━━━━━━━━━━━━━━
By: @DataScienceN ✨
🔥 Trending Repository: traefik
📝 Description: The Cloud Native Application Proxy
🔗 Repository URL: https://github.com/traefik/traefik
🌐 Website: https://traefik.io
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: The Cloud Native Application Proxy
🔗 Repository URL: https://github.com/traefik/traefik
🌐 Website: https://traefik.io
📖 Readme: https://github.com/traefik/traefik#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: LightRAG
📝 Description: [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
🔗 Repository URL: https://github.com/HKUDS/LightRAG
🌐 Website: https://arxiv.org/abs/2410.05779
📖 Readme: https://github.com/HKUDS/LightRAG#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
🔗 Repository URL: https://github.com/HKUDS/LightRAG
🌐 Website: https://arxiv.org/abs/2410.05779
📖 Readme: https://github.com/HKUDS/LightRAG#readme
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#knowledge_graph #gpt #rag #gpt_4 #large_language_models #llm #genai #retrieval_augmented_generation #graphrag
==================================
🧠 By: https://t.iss.one/DataScienceM