Aurelien Grosdidier’s Post

📝 Task 2: To-Do List Application (Python CLI) Built a command-line based To-Do List application using Python with JSON file handling for persistent storage. This project focuses on improving productivity by allowing users to manage tasks efficiently. 💡 Features include adding tasks, updating priorities, marking tasks as complete/incomplete, filtering tasks, and viewing statistics. A great hands-on project to practice file handling, object-oriented programming, and working with Python built-in libraries. 🚀 Github repo: https://lnkd.in/grCvTF2Q #Python #Coding #Project #BeginnerProjects#Codenova Tech Solutions

🚀 Project: To-Do List Application I recently built a simple and efficient To-Do List application using Python. This project helps users manage their daily tasks in an organized way . ✨ Key Features: Add new tasks Update existing tasks Delete completed tasks Simple and user-friendly interface 💻 Technologies Used: Python This project helped me improve my understanding of basic programming concepts like loops, conditionals, and list handling. Looking forward to building more such useful applications! 🚀 #Python #ToDoList #BeginnerProjects #CodingJourney #StudentDeveloper 🔗 GitHub Repository: https://lnkd.in/dYBg3bGU 🎥 Project Demo:

Built a small Python script that auto-organizes files in a folder by type like images, videos, documents, code files and more. Nothing fancy, just a useful little tool I made for myself. Open-source if anyone wants it. GitHub: https://lnkd.in/gt8cEsYf #Python #Automation #OpenSource

👇 🚀 Day 25 of Python Problem Solving!! Today, I worked on a Python problem to check whether an array contains duplicate elements. 💡 What I Practiced Today: Traversing an array efficiently Using data structures like sets for quick lookup Understanding time complexity (O(n) vs O(n log n)) Comparing different approaches (sorting vs hashing) Handling edge cases like empty arrays or unique elements 🧠 Problem Statement: Given an integer array nums, return true if any value appears more than once in the array, otherwise return false. 📌 Example: Input: nums = [1, 2, 3, 3] Output: true ✨ This problem helped me strengthen my understanding of efficient searching techniques and choosing the right approach to optimize performance — an important skill for coding interviews. #Day 25 #100DaysOfCode #Python #CodingJourney #ProblemSolving #DataStructures #Programming #LearnToCode #TechJourney

Beyond Hypermodern: Python is easy now - Chris Arderne, https://lnkd.in/epPRikWA IA Summary: Python development, once a daunting maze of tools and configurations, is now remarkably easy thanks to modern innovations like `uv` and `ruff`. This guide offers a streamlined approach, enabling you to build maintainable projects with unparalleled speed and simplicity, from setup to monorepos. #python #dev #softwareengineering #hypermodern #bestpractices

To-Do List Application (Python) I built a simple To-Do List Application using Python to help manage daily tasks efficiently. 🔹 Add, update, and delete tasks 🔹 Track task status (pending/completed) 🔹 Organized task management 🔹 Command-line / GUI-based interface 💡 This project helped me understand task management logic, data handling, and user interaction in Python. 🚀 Small project, big boost in productivity skills! #Python #MiniProject #Productivity #Coding #StudentDeveloper #Tech #codsoft

#Day-17 | Python Problem-Solving & Functional Programming ✨ Today’s practice focused on sharpening list operations and exploring functional programming techniques in Python: 🔹 Unique element detection – Implemented both brute force and optimized approaches to find non-repeating elements in a list. 🔹 Bitwise XOR logic – Experimented with XOR operations to understand how they can be applied in optimized solutions. 🔹 Functional programming with map() – Applied lambda functions to transform lists, squaring elements in a clean, concise way. Python offers multiple ways to solve the same problem—brute force for clarity, bitwise for efficiency, and functional programming for elegance. Each approach deepens understanding of how data can be manipulated and optimized. #Python #CodingJourney #FunctionalProgramming #ProblemSolving #LearningStreak

Day 2 of #100DaysOfCode – Python Practice Continues! Today I focused on strengthening my string and list problem-solving skills in Python 📌 What I practiced today 🔹 String operations ✔️ Reverse a string ✔️ Palindrome check ✔️ Count vowels & consonants ✔️ String length without len() ✔️ Remove spaces ✔️ Count substring occurrences 🔹 Intermediate string logic ✔️ Convert to uppercase ✔️ Replace vowels with * ✔️ Check anagrams ✔️ First non-repeated character 🔹 List operations ✔️ Largest & smallest element ✔️ Sum of list elements ✔️ Remove duplicates ✔️ Sort list in ascending order 💡 These problems helped me understand: ➡️ String manipulation techniques ➡️ Logical thinking & condition handling ➡️ Working with lists efficiently 🔥 Step by step, building strong programming fundamentals! Consistency + Practice = Growth 📈 Global Quest Technologies ✨ #100DaysOfCode #Python #PythonProgramming #CodingJourney #LearnPython #DataStructures #ProblemSolving #Developer #CodingLife #TechSkills #SoftwareDevelopment #GlobalQuestTechnologies #GQT #Day2Challenge

🚀 List vs Tuple in Python — A Fundamental Yet Overlooked Concept Many developers underestimate the importance of choosing the right data structure. In Python: 🔹 Lists are mutable, allowing dynamic changes such as adding or removing elements 🔹 Tuples are immutable, ensuring data integrity and better performance 💡 Why it matters: Tuples are generally faster and more memory-efficient, while lists offer flexibility for dynamic operations Choosing the right structure can improve performance, readability, and scalability of your code. 👉 Read more info: https://lnkd.in/dBs3ikTU #Python #Programming #SoftwareDevelopment #Coding #Developers #DataStructures #CleanCode #TechCareers

🚀 Just completed a small but useful Python project! I built a simple script that helps clean and organize cluttered files automatically. You know how messy folders get with random downloads, images, and documents? This project sorts them into proper folders in seconds. While working on this, I didn’t just learn Python — I understood how automation can save time in real life. Small projects like this build strong fundamentals and confidence. 📌 What I learned: -Working with file handling in Python -Using automation to solve daily problems -Writing cleaner and more structured code -This is just the beginning. Next step: building more advanced projects. Would love your feedback and suggestions! code and git hub repo:-https://lnkd.in/dhvuVQAA #Python #BeginnerProjects #Automation #CodingJourney #LearningByDoing