Python Email Automation with Gmail SMTP

I was tired of sending emails manually, so I created this email automation system that can send emails automatically to a number of recipients and helps reduce time. Built with Python, this tool reads recipients, subjects, and message templates from simple files, sends in controlled batches, supports multiple sender accounts, and logs sent emails to avoid duplicates. What used to take hours now takes minutes. Still improving it, this is version 1.0 #Python #Automation #EmailAutomation #Productivity #BuildInPublic #DeveloperJourney

I built a Log inspector, a Python tool that parses system log files, filters errors, generates per-user statistics, and exports reports as CSV or HTML. What it does: Parses system logs using regular expressions (regex). Filters by error type or specific user. Generates ranked error summaries. Exports reports as CSV or HTML What I learned building it: How to refactor a monolithic script into modular, reusable functions. Separation of concerns like parsing, reporting, and logic in separate files. Writing unit tests with unittest to catch edge cases. Using Git and GitHub to manage and publish a project. This project builds on concepts from the Google IT Automation with Python Certificate but focuses on solving a real-world problem engineers face daily: understanding system logs efficiently. 🔗 GitHub: https://lnkd.in/dJ3maRBW If you work with system logs or automation tools, I’d love your feedback! #Python #Automation #ITAutomation #Regex #GitHub #GoogleCertificate #Coursera #LogAnalysis #Programming

Just wrapped up diving into REST API development with Flask and Python ! APIs play a key role in modern data ecosystems. Many data pipelines rely on REST APIs to extract data from external services, integrate systems, and automate data ingestion into data platforms. APIs (Application Programming Interfaces) are essential tools used to retrieve data from external sources and expose internal data for consumption by other applications or users. #DataEngineering #Python #SoftwareEngineering #DataPipelines #DataIntegration

Forget manual scripts! It's time to automate! 🚀 Why do most devs still use **manual scripts**? Because they believe "it’s faster". Nope! Automation scales your skills and builds a new career in Python automation. 🔥 🚀 Unlock the power of scripts, not just code lines. #PythonAutomation #DevLife [Visit Dizzuddi.link/nvadun] https://lnkd.in/ghYiuA-e

🚀 Just Built My First Python Automation Project – File Organizer! I recently created a File Organizer using Python that automatically sorts files into different folders based on their extensions. 💡 What it does: - Scans a folder - Identifies file types (Images, Music, Documents, Videos) - Automatically moves files into their respective folders - Handles unknown files by placing them in an “Others” folder 🛠️ Technologies & Concepts Used: - Python - os module (file & directory handling) - shutil module (file movement) - File extensions & automation logic 📚 What I learned: - How to work with file systems using Python - Writing clean automation scripts - Debugging real-world errors (path issues, file handling, etc.) - Breaking down problems into logical steps This project helped me understand how powerful Python can be for real-world automation tasks. Next step: Improving this into a smart file sorter with GUI and advanced features 🚀 If you have suggestions or ideas to improve this project, feel free to share! GitHub Link -- https://lnkd.in/g_k2VkjY #Python #Automation #BeginnerProject #CodingJourney #LearningByDoing #FileManagement

🚀 Just built a simple yet useful Python script! The idea is straightforward: 📂 Read files from a directory 🔍 Scan for errors inside those files 🖥️ Print detected errors on the screen This is a small step towards building automation tools for log analysis and debugging — something really important in DevOps workflows. Currently away from my laptop, but soon I’ll: ✅ Push the complete code to GitHub ✅ Share screenshots and detailed explanation Stay tuned! 👨💻 #Python #DevOps #Automation #Learning #CodingJourney

🚀 Mastering Exception Handling & Logging in Python 🐍 Handling errors effectively is what separates a good developer from a great one. Recently, I strengthened my understanding of Exception Handling & Logging in Python, and here are some key takeaways: 🔹 Exception Handling - Used "try-except" blocks to gracefully handle runtime errors - Leveraged "finally" for cleanup actions - Created custom exceptions for better error clarity - Avoided generic exceptions to ensure precise debugging 🔹 Logging Best Practices - Replaced "print()" with the "logging" module - Used different levels: "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL" - Configured log formats for better readability - Stored logs in files for tracking and debugging 🔹 Why It Matters ✔ Improves application reliability ✔ Makes debugging faster and easier ✔ Helps in production monitoring 💡 “Code that handles errors well is code that survives in production.” #Python #ExceptionHandling #Logging #SoftwareDevelopment #CodingBestPractices #BackendDevelopment #DataEngineering

🔐 Built a Password Generator using Python Created a Python application that generates secure passwords based on user preferences and evaluates their strength. ✨ Key Highlights: • Customizable password length • Option to include numbers and special characters • Real-time password strength evaluation • Simple and interactive user input 📸 Sharing a snapshot of the output below 🔗 Explore the project on GitHub: [https://lnkd.in/gQMGTtRb] #PythonDeveloper #CodingProjects

Happy to share that my first Automation Engineering blog was published on LinkIT under INTECS - UoM. This article reflects my journey with Python and Selenium and what I learned from my first automation project.💻 Read here: https://lnkd.in/dyrmbtuD #Python #Selenium #Automation #INTECS #LinkIT