Tkinter To-Do List App with Categories

Tkinter Tutorial: Build a Simple Interactive GUI for a Basic Calculator Ever wished you could build your own calculator? Not just use one, but build one? In this tutorial, we'll dive into Tkinter, a powerful Python library that lets you create graphical user interfaces (GUIs). We'll go step-by-step to build a simple, yet functional, calculator. This isn't just about learning code; it's about empowering you to create tools that solve real-world problems....

Most people don’t forget Python They forget it because they stop using it. That was my problem. I came back to coding and realized something frustrating: I understood the concepts… but I couldn’t remember the syntax clearly. So instead of just relearning randomly, I did something different. I built a complete Python A–Z repository — not just to learn, but to never forget again. What makes this different? This is NOT just notes. This is a structured, practical guide designed to: 1. Help you quickly recall Python syntax after a break 2. Give you clear explanations with examples 3. Take you from basics to advanced step by step 4. Be your go-to reference anytime you feel lost What’s inside? 1. Python Fundamentals 2. Control Flow 3. Loops 4. Data Structures 5. Functions 6. Object-Oriented Programming (OOP) 7. File Handling  8. Error Handling 9. Modules & Packages 10. Advanced Python (Decorators, Generators, etc) Why I’m sharing this: Because I know many people struggle with the same thing: You learn… you stop… you forget… you start again. This is built to break that cycle. GitHub Repository: https://lnkd.in/dUSyqH2h What’s next? 1. More projects. 2. More practical content. 3. More real-world applications. I’ll keep sharing everything I build along the way. If you're learning Python or working on improving your skills, follow me I’ll be sharing practical content that actually helps. And tell me: What’s the hardest thing for you in Python right now? #Python #Programming #AI #MachineLearning #DataScience #SelfLearning

🚀 Learning Project: Expense Tracker Web App (Python + Streamlit) 🌐 Live App 🔗 https://lnkd.in/gcDQBD_i As part of improving my Python fundamentals, I built a simple Expense Tracker Web App using Streamlit. This project was mainly created as a learning exercise to better understand important Python concepts like File Handling, Exception Handling, and Object-Oriented Programming (OOP). 💡 What the app can do • Add and store daily expenses • View all recorded expenses • Calculate total spending • Simple web interface built with Streamlit 🛠 Technologies Used • Python • Streamlit • CSV file storage 📚 Concepts I Practiced • File handling for storing and retrieving data • Exception handling for managing invalid inputs • Object-Oriented Programming (classes and methods) • Structuring a small real-world Python application 💻 GitHub Repository 🔗 https://lnkd.in/g5RcAxE3 This is a beginner learning project, but it helped me understand how Python concepts are used in real applications. #Python #Streamlit #LearningByBuilding #BeginnerProject #SoftwareDevelopment

Tkinter Tutorial: Building a GUI for a Simple To-Do List In today's fast-paced world, staying organized is key. A well-structured to-do list can be a lifesaver, helping you manage tasks, track progress, and boost productivity. While there are numerous to-do list apps available, building your own offers a unique opportunity to learn and customize a tool to perfectly fit your needs. This tutorial will guide you through creating a simple, yet functional, to-do list application using Python's Tkinter library....

🐍 Python Basics – Learning Notes (Day Update) Here are some key Python concepts I’ve been practicing 👇 🔹 split() - Breaks a string into parts and returns them as a list. 🔹 len() - A built-in function used to count the number of items in an object. 🔹 rsplit() - “Right split” — splits a string starting from the right side. 🔹 strip() - Removes spaces from both left and right sides. 🔹 lstrip() / rstrip() - Removes spaces from left / right side respectively. ✔️ startswith() → Verifies if a string starts with a specific value ✔️ endswith() → Checks if a string ends with a given value 🔹 String Validation Methods (True / False) ✔️ isdigit() → Checks if string contains only digits (0–9) ✔️ isalnum() → Checks if string contains letters + numbers ✔️ isalpha() → Checks if string contains only alphabets 🔹 Control & Flow Concepts ✔️ if / else → Decision Making Executes code based on conditions. ✔️ for loop → Repeat Execution Iterates over sequences like list, string, or range. #Python #Programming #Coding #PythonBasics #DeveloperJourney

Tkinter Tutorial: Building a GUI for a Simple Unit Converter Converting units can be a hassle, whether you're a student, a traveler, or just someone trying to follow a recipe. Remembering all the conversion factors is tough! In this tutorial, we'll build a simple yet functional unit converter using Tkinter, Python's built-in GUI library. This application will let you easily convert between different units of length, temperature, and weight. By the end, you'll not only have a practical tool but also a solid understanding of Tkinter's fundamental concepts....

4 Words That Unlock OOPs in Python Most beginners try to jump straight into oops principals without understanding these terms. if you want to truly understand Python OOPs, start with these 4 core concepts: 1. Class Think of it as a blueprint. Before building a house, you design the structure on paper. A class does the same for objects. 2. Object An object is simply an instance of a class. If the class is the blueprint, the object is the actual building created from it. 3. Constructor (__init__) A special (dunder) method that runs automatically when an object is created. Its job is to initialize the object’s attributes so you don’t have to manually assign them every time. 4. Self self refers to the current instance of the class. It allows methods inside the class to access and modify the object’s data. Once you understand these 4 concepts, OOP stops looking complicated. It becomes logical. And Python suddenly feels much more powerful. What concept confused you the most when you first learned Python OOP? #Day52 of Documenting my Learnings & Building Meaningful connections on LinkedIn.

I was memorizing Python keywords… and realized something important. Most beginners try to remember everything at once but Python doesn’t work like that. It works on logic, not memorization. What I learned: Python has reserved keywords words you can’t change because they already have a meaning in the language. Examples: if, else, elif → decision making for, while → loops def, return → functions True, False, None → core values and, or, not → logic 💡 Instead of memorizing 30+ keywords… I started grouping them like this: 🔹 Decision → if, else, elif 🔹 Loops → for, while, break, continue 🔹 Functions → def, return 🔹 Logic → and, or, not 🔹 Structure → class, try, except And suddenly… everything made sense. Big realization: Programming is not about remembering keywords. It’s about understanding how they work together. If you’re learning Python right now: Don’t memorize. Connect concepts. That’s when coding becomes easy. #Python #Coding #LearnToCode #DataAnalytics #Programming

uv vs pip. Why should you use uv rather than pip for managing packages and dependencies in your Python project? - uv generates a uv.lock file that pins the exact versions of every dependency and sub-dependency. This makes environments reproducible across machines and deployments. - When you add a package with uv add, it updates the project definition for you. With pip, you typically have to remember to run pip freeze to update requirements.txt. - uv handles virtual environments as part of the workflow instead of requiring separate setup. - Dependency resolution with uv is dramatically faster than pip. I wrote a short breakdown explaining how this works and why it matters for production Python projects. #python #packagemanagement #uv #pip #backend #pythonprojects

Nobody teaches you this in Python tutorials. You learn variables. You learn functions. You learn classes. But scope? You learn scope the hard way. At 2am. With a bug you can't explain. Staring at code that looks perfectly fine. Here's what's actually happening: Python doesn't look for variables the way you think it does. It follows a very specific lookup order - Local → Enclosing → Global → Built-in - and if you don't know the rules, it will surprise you in the worst moments. I wrote a free guide to fix that gap: ✔ How Python actually resolves variable names ✔ Why closures behave the way they do ✔ The global and nonlocal keywords demystified ✔ Real examples of scope bugs - and how to squash them No fluff. No theory for the sake of theory. Just the stuff that makes you a sharper Python dev. 🎁 Free download: https://lnkd.in/dY8az6hc Drop a 🐍 in the comments if scope has burned you before. #Python #PythonDeveloper #LearnPython #Debugging #Scope #Variable