Let us see how to download Python and set it up on our local system. First, we use the command: where python This command tells us the path where Python is located and where the software is installed on the Windows machine. If you want to know the Python version installed on your system, use: python --version Next, we need to choose an editor, and we will use PyCharm. Download PyCharm Community Edition for Windows 11. There are two versions available: 1. A paid (Professional) version 2. A Community (free) version You can work with the Community edition without paying, which is more than sufficient for learning and automation work. Download PyCharm from: https://lnkd.in/gJyRZfEb While setting up PyCharm: 1. Select Custom Environment 2. Choose the Existing Interpreter radio button 3. Provide the path to your local Python installation Example path: C:\Users\Sunita\AppData\Local\Microsoft\WindowsApps From the Command Prompt: Microsoft Windows [Version 10.0.26200.7462] (c) Microsoft Corporation. All rights reserved. C:\Users\Sunita>where python C:\Python313\python.exe C:\Users\Sunita\AppData\Local\Microsoft\WindowsApps\python.exe C:\Users\Sunita> To verify the version: python --version Python 3.13.3 We have successfully installed Python, and with these two commands, we can verify whether Python is correctly reflected on the system. One very important point to focus on here: By default, PyCharm also provides its own Python environment. Even if you do not install Python on your system, the IDE creates a Python environment for each project. However, my personal recommendation is not to depend on the environment provided by the IDE. Instead: Install Python on your local system Use that local Python path inside PyCharm by selecting Custom Environment This ensures better control, consistency, and real-world readiness for automation, testing frameworks, and CI/CD setups. #Python #PythonInstallation #PyCharm #AutomationTesting #SDET #SoftwareTesting #LearningJourney #Windows11 #TestAutomation #Playwright #PyTest #CareerGrowth #ContinuousLearning

🚀 Day 27 of #90DaysOfCode — Building a Pomodoro Timer (Python GUI) Today, I built a Pomodoro Timer application using Python and Tkinter. This project focused on understanding event-driven programming, time-based logic, and GUI state management in desktop applications. The application follows the Pomodoro Technique by alternating between focused work sessions and short/long breaks automatically. It also visually tracks completed work sessions, reinforcing both productivity and clean user experience. 🔧 What I practiced: • Building GUI applications with Tkinter • Managing timers using after() and callbacks • Implementing work/break cycles with state tracking • Handling user interactions through buttons • Writing structured and readable Python code 🧠 Key takeaway: Time-based applications highlight the importance of precise logic—small mistakes in state or timing can affect the entire user experience. 📁 Project Repository: 👉 https://lnkd.in/gij_CQJT Building consistently— from simple GUI tools to productivity-focused applications, one day at a time 🚀 #Python #90DaysOfCode #Day27 #LearnInPublic #PythonProjects #Tkinter #GUI #ProgrammingJourney

Just recently, I built a Laravel setup automation tool using Python, here's the link ( https://lnkd.in/dSMrQQTU ) . It was a fun little project, full of lessons and small discoveries along the way. One of the things it really taught me was how opinionated automated tools work. Tools like Herd, ldjango, and others are designed to help developers set up projects faster and with less friction. You basically activate the tool, tell it what you want, and it just spins everything up for you. No stress. Building my own tool gave me a better mental picture of what might be going on under the hood in tools like Herd. Now, this is just a thought I’ve had for a few days — it might be completely wrong or slightly accurate — but I figured I’d share it anyway. Laravel setup with Herd feels much faster than using the CLI directly. Normally, Laravel has to be downloaded, files created, and dependencies resolved, and all that takes time. So I started wondering: what if Herd already has those files somewhere? What if it’s just copying them into your project directory instead of downloading everything from scratch? Maybe Laravel already lives in some kind of environment or container, and when you create a new project, it’s more of a copy-and-setup process rather than a full install. That could explain the speed. Maybe Herd already has PHP, Laravel, and everything else ready to go in the background. Again, this is just a theory — something I’ve been thinking about lately. I’m planning to dig deeper and see how close (or far off) I am. #laravel #python #softwaredevelopment

🚀 Project Showcase: QR Code Generator using Python I’m pleased to share a Python-based QR Code Generator that I developed as a hands-on mini project to explore practical applications of data encoding and Python libraries. 🔹 The application enables users to generate QR codes for: • URLs and plain text • Wi-Fi credentials (scan to connect automatically) • Contact cards (vCard format for quick contact saving) 🛠 Technologies Used • Python • qrcode library • Pillow (PIL) 📌 GitHub Repository 👉 https://lnkd.in/gGB-tb4W 📷 The QR code image attached above is generated using this project. Scanning it redirects directly to the GitHub repository. 🧠 Key Takeaways • Understanding how data is encoded into QR formats • Working with external Python libraries • Structuring, documenting, and publishing a project professionally on GitHub This project helped reinforce my Python fundamentals while building a small yet practical utility. I look forward to building more projects and continuously improving my skills. Feedback and suggestions are most welcome.❤️ #Python #GitHub #ProjectShowcase #SoftwareDevelopment #StudentDeveloper #LearningByDoing #Programming #QRCode

🚀 Day 26 of #90DaysOfCode — Building a Miles to Kilometers Converter (Python GUI) Today, I built a simple Miles to Kilometers Converter using Python and Tkinter. This project focused on understanding the basics of GUI development and how user interactions trigger logic in event-driven applications. The application takes a numeric input in miles, applies the standard conversion formula, and dynamically updates the result when the user clicks a button. It was a great exercise in combining core Python fundamentals with a clean and functional graphical interface. 🔧 What I practiced: • Building GUI applications using Tkinter • Handling user input with Entry widgets • Event-driven programming using button callbacks • Applying real-time mathematical calculations • Writing clean, readable, beginner-friendly Python code 🧠 Key takeaway: Even simple GUI tools emphasize the importance of clarity—clear input, clear logic, and clear output make applications more intuitive and reliable. 📁 Project Repository: 👉 https://lnkd.in/g6ss_p-t Building consistently— from command-line scripts to GUI-based applications, one day at a time 🚀 #Python #90DaysOfCode #Day26 #LearnInPublic #PythonProjects #Tkinter #GUI #ProgrammingJourney

Filo - Python Project: Folder Organizer (CLI Tool) Is your download folder flooded with files? Here's the solution! I built a Python-based command-line tool that automatically organizes files in a directory by categorizing them into folders based on their file extensions. This script allows users to provide a directory path (for example, the Downloads folder), scans all files inside it, and neatly sorts them into folders such as Music, Videos, Images, Documents, Archives, Code, and Applications. If a required folder doesn’t exist, it is created automatically. This project was built as both a practical automation utility and a hands-on learning exercise to strengthen my understanding of Python file system operations. Key Features Automatically organizes files by extension Creates destination folders when they don’t exist Supports common file types (media, documents, archives, code, apps) Simple and user-friendly CLI interaction Lightweight and dependency-free How It Works User provides the directory path to organize Script scans all files in the directory Files are grouped using Python dictionaries Folders are created based on extension mapping Files are moved into their respective folders How to Run python filo.py Then enter the absolute path of the directory you want to organize (example): /home/user/Downloads/.. Github: https://lnkd.in/gi9aWAw3 This project helped me improve my skills in automation, file handling, and writing clean, practical Python scripts. #Python #PythonProjects #Automation #CLI #FileManagement #SoftwareDevelopment #LearningByDoing #Coding #OpenSource #DeveloperJourney #TechProjects #Programming #Linux #Productivity

How Python Actually Runs? Ever wondered what happens the moment you hit "Run"? Python doesn't just read your code like a book; it goes through a fascinating two-step process to turn your logic into action. Here is the simple breakdown: • The Compilation Phase Before your code executes, Python "compiles" it. No, it doesn't turn it into a Windows .exe file. It transforms your source code into Bytecode. - Think of it as: Translating a complex recipe into a simplified checklist that only a chef understands. - The Result: Those .pyc files you often see in __pycache__ folders. • The Interpretation Phase This is where the Python Virtual Machine (PVM) takes over. It reads the Bytecode line-by-line and executes it on your computer. - Think of it as: The chef following that checklist to actually cook the meal. - The Benefit: This is why Python is "cross-platform" the same Bytecode can run on Windows, Mac, or Linux as long as the PVM is there. 💡 Why should you care? Understanding this model helps you realize why Python is so flexible. It’s an Interpreted language, meaning it’s optimized for developer speed and ease of use, even if it trades off a little bit of raw execution power. #Python #DataEngineering #DataScience

🎓 Student Result Management System | Python Project I’m excited to share my latest project — **Student Result Management System** —  developed using **Python, tkinter, and SQLite**. 🔹 Features: ✔ Admin Login & Logout   ✔ Add Student Results   ✔ Course-wise Result Management   ✔ Automatic Percentage Calculation   ✔ Search Result by Roll Number   ✔ Search Result by Course   ✔ SQLite Database Integration  This project helped me understand: • Python GUI development using Tkinter   • Database connectivity with SQLite   • Real-world CRUD operations  📽️ I’ve also attached a short demo video showing the program output. 🔗 GitHub Repository: 👉 https://lnkd.in/gCfHdhvh I’m continuously learning and improving my Python skills 🚀   Feedback and suggestions are welcome! #Python #Tkinter #SQLite #StudentProject #PythonGUI #Learning #GitHub #webcode Webcode

I’ve started a new project-based Python series focused on building real, useful tools instead of traditional tutorials. In this video, I build a Python script that automatically organizes files in a folder based on their type, a simple automation that solves a very real problem. The goal of this series is to show how Python is used in practice by solving problems step by step and letting the concepts appear naturally through the project. ▶️ Build a File Organizer in Python 🔗 https://lnkd.in/dQB48ZMv Source code: https://lnkd.in/dXzVZy8w More project-driven Python tools coming soon. #Python #Automation #SoftwareDevelopment #Programming #LearningByBuilding