🚀 Python Project | Simple To-Do List Built a console-based To-Do List application using Python, implementing core concepts like lists, loops, conditional statements, and user input handling. Key Concepts Used: • Python lists for task management • While loop for continuous execution • Conditional statements (if-elif-else) • User input handling • Basic CRUD operations (Add, View, Remove tasks) This project reflects strong Python fundamentals, logic building, and problem-solving skills through hands-on practice. IncodeVision #Python #CorePython #Programming #BeginnerProject #LogicBuilding #ProblemSolving #SoftwareDevelopment #incodevision
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🚀 Day 4 of #100DaysOfCode 📌 Project: Even, Odd & Prime Number Checker (Python) Today, I built a simple yet logic-oriented Python program that checks whether a given number is even or odd and also determines if it is a prime number. 🔹 Implemented reusable functions for clean code 🔹 Used efficient prime checking logic (up to √n) 🔹 Added input validation using exception handling 🔹 Strengthened understanding of conditionals & loops This project helped me improve my problem-solving skills and write more modular Python code. 📂 GitHub Repository: 👉 (https://lnkd.in/gbtp3ZCJ) #Python #100DaysOfCode #Day4 #CodingJourney #Programming #PythonProjects #LearningByDoing
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I’ve published the second video in my project-based Python series. This time, I built a Duplicate File Finder in Python, a small but efficient automation tool that scans folders and detects duplicate files based on their actual content, not just file names. The idea behind this series is simple: learn Python by building real tools, the same way problems appear in real work, not through isolated syntax tutorials. 🎥 Build a Duplicate File Finder in Python 🔗 https://lnkd.in/gEeWPHgz Source code: https://lnkd.in/gG4PV3KW If you’re interested in Python automation, clean code, and learning by building, more projects are coming.
Build a Duplicate File Finder in Python (Real Automation Project)
https://www.youtube.com/
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Python Memory Model and Object References Python does not pass variables by value or by reference — it passes object references. Understanding this model is essential for writing predictable and efficient code. Key concepts to understand: - Variables are labels bound to objects, not containers of data - Assignment creates a new reference, not a copy - Mutable objects can be modified through any reference pointing to them - Copying (shallow vs deep) changes how objects share memory Many subtle bugs come from assuming objects behave independently when they actually share state. Clear thinking about references leads to safer and more predictable systems. #Python #Programming #MemoryManagement
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Installing Python dependencies doesn’t have to be slow. I wrote about why I switched to uv and why it’s now the only tool I use to manage Python projects. - Why uv is much more than a fast pip replacement - How uv manages Python versions, virtual environments, and execution - How to adopt uv without rewriting your existing projects Tomorrow, I’ll show you data folks and Python users how to simplify their Python workflow with uv. One tool, faster installs, and fewer headaches. If you want to join us, subscribe here: https://lnkd.in/gbuCEQXp #data #python #uv
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Your Python script isn't "finished" until it's an executable. Let’s be real: your non-technical stakeholders aren't going to install Python, set up a virtual environment, and run pip install -r requirements.txt just to see your work. If you want your automation to actually get used, make it a .exe. How to do it in 10 seconds: pip install pyinstaller pyinstaller --onefile your_script.py Check your /dist folder, and you’re done. One file, one click, total impact. Pro Tip: If your terminal says "command not found," use python -m pyinstaller instead. It ensures you're using the right Python environment every time! #PythonProgramming #Efficiency #ProgrammingLife
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Python Logic Challenge What will be the output of this Python code snippet? 🤔🐍 At first glance, it looks simple — but the real trick is understanding how if–elif conditions are evaluated in Python. 👉 Python checks conditions top to bottom and stops at the first match. Small logic puzzles like this help sharpen problem-solving skills and strengthen fundamentals — something every developer needs 💻✨ Drop your answer in the comments 👇 Let’s learn together 🚀 🔹 Hashtags #Python #CodingChallenge #PythonForBeginners #LogicBuilding #Programming #Developers #SoftwareEngineering #TechLearning #LearnToCode #DailyCoding
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🚀 Python Practice | Match-Case Statement (Python 3.10+) Today I practiced Python’s match-case statement by building a simple calculator program. 🔹 It takes: Two numbers An operator (+, -, *, /) 🔹 Features: Uses match-case instead of if-elif Handles invalid operators Prevents division by zero Beginner-friendly and clean logic This helped me understand how match-case improves readability and decision-making logic in Python. 📚 Learning step by step and sharing my journey publicly to stay consistent. Feedback and suggestions are always welcome 🙌 #Python #MatchCase #PythonProgramming #100DaysOfCode #LearnPython #CodingJourney #StudentDeveloper #Programming
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Did you know you can specify data types in Python. Python may be dynamically typed, but you can still declare expected data types using type hints to make your code clearer and more professional. Example 👇 def my_func(age: int, name: str, is_active: bool) -> None: print(age, name, is_active) This does not enforce types at runtime, but it helps in many ways: ✅ Improves code readability ✅ Makes functions self-explanatory ✅ Helps IDEs catch mistakes early ✅ Essential for large and team-based projects Type hints are widely used in modern Python, especially in frameworks, APIs, and production-level code. Clean code isn’t just about making things work — it’s about making them understandable. #Python #TypeHints #CleanCode #Programming #SoftwareDevelopment #PythonTips
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Python tutorial everyone takes but nobody completes: You learn loops, functions, maybe some OOP. Then you stop. Because projects look complicated. Heres the thing though - 80% of real projects use same 20% of Python. Forgets the fancy stuff. Just build something: - Web scraper - Telegram bot - Automation script Thats it. Thats all you need to start. Build projects. Not complete tutorials. #Python #LearningJourney #ProjectBased
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🐍 90 Days of Python – Day 17 Built-in Functions Today, I learned about built-in functions in Python, which help perform common tasks without writing extra code. Python provides many built-in functions that make programs shorter, cleaner, and more efficient. 🔹 Key built-in functions I explored today: • print() – display output • len() – get the length of data • type() – check data types • input() – take user input • range() – generate sequences of numbers Using built-in functions allows us to focus more on problem-solving rather than reinventing basic functionality. I’m practicing these functions to better understand how they simplify everyday coding tasks. 📌 Day 17 completed. Using built-in tools to write cleaner code. 👉 Which Python built-in function do you use the most? #90DaysOfPython #PythonLearning #LearningInPublic #PythonBasics #ProgrammingBasics #BTechCSE
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