Automate SD-WAN Operations with Python and vManage API

🚀 Day 8 of my Python Automation Journey Today I built an Email Automation script using Python. Using Python's smtplib module, the script can automatically send emails. Example use cases: • Sending automated notifications • Sending reports • Email reminders My GitHub repository now contains 8 Python automation projects: • Word Counter • File Renamer • Password Generator • Web Scraper • CSV Data Cleaner • File Organizer • System Monitor • Email Automation Learning Python step by step by building small automation projects every day. #Python #Automation #PythonProjects #CodingJourney #LearningInPublic

Most Python developers use print() every day — but very few know ALL its parameters. 🐍 Here's everything packed into one cheat sheet: ✅ Basic syntax: print(*objects, sep=' ', end='\n', file=sys.stdout, flush=False) ✅ 5 parameters you should know: → sep — change the separator between values → end — control what prints at the end (not always a newline!) → file — print directly to a file or stream → flush — force immediate output (useful in logs & pipelines) → f-strings — the cleanest way to format output ✅ Common mistakes to avoid: ❌ Forgetting quotes around text ❌ Missing commas between multiple values ❌ Concatenating strings + numbers directly ❌ Forgetting parentheses (Python 2 habit!) Whether you're debugging, logging, or formatting output — mastering print() makes your code cleaner and you faster. 💡 Save this for your next coding session. 🔖 --- 📌 Follow for daily Python tips and developer resources. #Python #Programming #CodingTips #LearnPython #SoftwareDevelopment #PythonDeveloper #CodeNewbie #100DaysOfCode #TechEducation #Developer

Alex Marin, our application packaging expert, just published a personal story on his early days in endpoint management. It was so good that it was accepted on the reputable Level Up Coding on Medium.com. Long story short: a "simple" Python script turned into a total production nightmare. And how software deployment fails at scale. “The culprit wasn’t a server outage or a complete network failure. It was a Python script! A small one. One that you might consider as harmless. The type of script that works flawlessly on one machine, then ten, then one hundred. But that morning, it had to run on thousands of machines. That’s when everything fell apart…” Check out the full story on how he turned it around: https://lnkd.in/dB8pN_By #Python #EndpointManagement #TechLessons #SoftwareEngineering #DevOps

🚀 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

In the previous article of this “Moving from Python to esProc SPL” series, I covered how to set up esProc SPL and load your first datasets. It’s now time to learn what makes esProc SPL a tool for data analysis: its syntax and data structures. In this article, you’ll learn about SPL’s core syntax elements, its primary data structure (the table), and how to perform common data operations. By the end, you’ll understand how to write effective SPL code and how it compares to equivalent operations in Python. Read below👇 https://lnkd.in/dnjpuPAR

🚀 Day 21/50 – File Manager App using Python 📂⚙️ As part of my 50 Days of Python Projects Challenge, today I built a simple File Manager App using Python. This tool automatically organizes files in a folder based on their file extensions. It helps keep directories clean and structured by grouping similar file types into separate folders. 🛠 How It Works The program scans all files in a given directory and: • Identifies file extensions • Creates folders based on file types (e.g., .jpg, .pdf, .txt) • Moves files into their respective folders It also handles files without extensions by placing them in a separate folder. ⚙ Technologies Used Python os module shutil module 📚 Key Learnings ✔ File and directory handling in Python ✔ Automating file organization ✔ Working with file paths and extensions ✔ Building real-world automation tools 📂 Project Available on GitHub You can explore the full project here: 👉 https://lnkd.in/g4kVDpG4 #Python #PythonProjects #50DaysOfCode #LearningInPublic #Automation #FileManagement #PythonDeveloper #BuildInPublic #CodingJourney #TechLearning

🚀 Automated My Downloads Folder Using Python Today, I built a simple yet useful File Organizer script using Python that automatically sorts files into folders. We often download many files, and our Downloads folder becomes messy. So I created a script to organize it automatically 👇 ✨ What This Script Does • Scans all files in the Downloads folder • Moves .jpg files into an Images folder • Moves .pdf files into a PDFs folder • Helps keep files clean and organized ⚙️ Technologies Used • Python • os module (for file handling) • shutil module (for moving files) 🧠 What I Learned • Working with file systems in Python • Automating real-world tasks • Writing efficient and reusable scripts • Importance of automation in daily life 💡 Key Insight Even small automation scripts can save time and improve productivity. If you have suggestions to improve this script (like handling more file types), I’d love to hear them! 😊 #Python #Automation #Programming #LearningInPublic #DeveloperJourney #Productivity #10000Coders #BuildInPublic

🚀 Project Completed: Expense Tracker using Python I developed a command-line application to track daily expenses using Python and CSV file handling. 🔹 Features: ✔ Add and store expenses ✔ View all transactions ✔ Calculate total spending 🔗 GitHub Repository: https://lnkd.in/gQ4nwR95. This project helped me understand file handling and build a real-world application. #Python #DataScience #BeginnerProject #Learning

My biggest mistake early in my Python journey wasn’t bad code. It was ignoring the small tools that make systems reliable. After 4+ years building automation projects, I found a handful of libraries that quietly transformed my side projects into production-ready products. I wrote about the exact 8 libraries I rely on today. Check out the full breakdown on my Medium account.

Over the past few months, I have delved into dlt (data load tool https://dlthub.com/). Is is a Python-library that anyone writing Python code can use for data extraction. It is a great tool becase it is python-based and that is why it is also cloud-agnostic. It is a simple solution for everyone who knows python to bring data from all different types of sources into datawarehouses or data-lakes, without restrictions.  Just download the library and start building your data-pipelines. (And hey, it is an open source command line tool!)