Python Bank System with OOP

I stopped “learning” Object-Oriented Programming. And built a bank instead. 🏦 No fancy UI, No frameworks. Just pure Python + logic. Here’s what it does: 💳 Create accounts with secure PIN login 💰 Deposit & withdraw money 🔁 Transfer between users 📜 Track complete transaction history But the real story is HOW I built it… I didn’t jump to the final project. I built it like a real system: → Phase 1: Basic account system → Phase 2: Validation & data protection → Phase 3: Money transfer logic → Phase 4: Transaction history → Phase 5: Security (PIN system) → Final: Complete CLI Banking System 🧠 What changed for me: I finally understood: • Why encapsulation matters • How real systems are structured • How to think like a developer (not a tutorial watcher) ⚡ Biggest lesson: Watching tutorials makes you feel smart. Building projects makes you BECOME smart. 🔗 GitHub Repo: https://lnkd.in/g8bKsj8Z If you're learning to code, try this: 👉 Build one project. Improve it daily. That’s where real growth happens. #Python #OOP #BuildInPublic #CodingJourney #Developers #Projects #LearnByDoing

🚀 Excited to Share My Latest Project: SIP Calculator 💰 I have created a SIP Calculator using Python that helps users estimate their investment growth over time. 📌 Project Features: Calculates total investment value Shows estimated returns Uses compound interest logic Simple and user-friendly input system 🧠 What I Learned: Python functions and logic building Financial concepts like SIP & compound interest Real-world problem solving using programming 💡 This project made me understand how small monthly investments can grow into a large amount over time. 🔗 GitHub: [https://lnkd.in/dgKR3Dnj] #Python #SIPCalculator #Programming #StudentDeveloper #Finance #Coding

#Day19 My first Dynamic Programming problem! The task was to find how many distinct ways you can climb n stairs, taking 1 or 2 steps at a time. The key insight: the number of ways to reach step n is always the sum of the ways to reach step n-1 and n-2. That is the Fibonacci sequence! Instead of recursion, I tracked just two variables and updated them at each step. Simple, clean and O(n). DP felt intimidating at first but once the pattern clicked it made perfect sense. #DSA #Python #LeetCode #CodingJourney #Programming #SoftwareDevelopment #TechAfrica #ML #AI

Learn to migrate from file database to server based database for trading and investment. #database #pythonprogramming #programming #algotrading #investment #trading #nasdaq

🚀 Banking Application using Python (OOP Concept) 💻 I’m excited to share my recent project — a Banking Application developed using Python, focusing on Object-Oriented Programming (OOP) concepts like abstraction and inheritance. 🔹 Project Highlights: Implemented using Abstract Base Class (ABC) Supports multiple banking operations: Create Account 🏦 Deposit Money 💰 Withdraw Money 💸 Check Balance 📊 View Account Details 📄 Unique account number generation using random Secure data handling using class-level storage Menu-driven console application for user interaction 🔹 Key Learnings: Practical implementation of OOP principles in real-world scenarios Data handling using Python dictionaries and lists Control flow and validation logic Building user-friendly CLI applications This project helped me strengthen my Python fundamentals and understand how real banking systems manage account operations at a basic level. 💡 Always learning, building, and improving! #Python #OOP #BankingSystem #Programming #SoftwareDevelopment #Project #LearningByDoing #CodingJourney 🚀

An abstract programming language (something like Python compared to C) for AI agents could save a huge amount of token usage in coding agent workflows. Think of it as another layer on top of existing high-level programming languages that is optimized for minimal token usage rather than developer experience i.e., less syntactic sugar or even a complete rewrite of a high-level language. I don’t know how much this would help an individual developer to reduce cost, but at scale, where developers are burning through billions of tokens on extra syntax, it could massively impact the economics of token consumption and reduce waste. This thought came to me while I was listening to this amazing talk between Lex Fridman and Peter Steinberger (Openclaws developer). You can listen to the talk in the link below, there are amazing insights into how software development as a hobby is becoming a thing. https://lnkd.in/ewEn8KkW

🚀 Day 76 — LeetCode Practice 🚀 Today’s problem: Count the Number of Consistent Strings 💡 What I learned today: • Used a boolean array to efficiently track allowed characters • Practiced character indexing (c - 'a') technique • Improved understanding of string traversal using nested loops • Learned how to optimize lookup operations to O(1) 🧠 Key Idea: Store all allowed characters in a boolean array. Then, for each word, check if every character exists in the allowed set. If yes → count it as a consistent string ✅ ⚡ Approach Highlights: • Preprocessing allowed characters • Iterating through each word • Breaking early for invalid characters (optimization) • Counting only valid strings 💻 Language Used: Java Consistency is the key 🔑 — improving step by step every day! #Day76 #LeetCode #Java #CodingJourney #ProblemSolving #100DaysOfCode #Programming #Learning

📚 Day 20/130 — Stack vs Heap Memory Today in my Daily Tech Learning Series, let’s understand two important memory areas 👇 🔹 What is Stack Memory? 👉 Stack memory is used for: Function calls Local variables ✔ Works in LIFO (Last In, First Out) order ✔ Fast access ⚡ ✔ Automatically managed 🔹 What is Heap Memory? 👉 Heap memory is used for: Dynamic memory allocation Objects (in many languages like Java, Python internally) ✔ Slower than stack ✔ Manually / automatically managed (depends on language) ✔ More flexible 🔹 Simple Difference 👉 Stack = Temporary + Fast 👉 Heap = Flexible + Dynamic 🔹 Real-Life Example 📚 Stack: 👉 Like a stack of books — last book placed is the first removed 🏢 Heap: 👉 Like a storage room — you can store and remove anything anytime 📊 See the diagram below for better understanding. 📌 Tomorrow’s Topic: 👉What is Operating System? #OperatingSystem #Stack #Heap #MemoryManagement #Programming #TechLearning #LearningInPublic #Students #Developer

Where is programming headed? This article explores how concepts from functional programming have spread into “mainstream” languages and how increasing abstraction can reshape the way programmers work. Read here: https://lpi.org/rug6 #LinuxProfessionalInstitute #LPI #functionalprogramming #programminglanguages #python #java #rust #softwaredevelopment #futureofprogramming #programming

🔥 Advanced School Management System (OOP + GUI) A complete School Management System built using Python with Object-Oriented Programming principles and an interactive GUI. 💡 Key Features: • Unique ID system (no duplicates) • Full CRUD operations (Add / Update / Delete / Search) • Soft Delete system (Trash) with Restore functionality • Interactive GUI for easy user experience • Clean architecture using Abstraction, Inheritance & Encapsulation 👥 Team: Anas Emad Nourhan Nafea 🔗 GitHub Repository: https://lnkd.in/d69RyTuQ #Python #OOP #GUI #SoftwareEngineering #Projects #GitHub #ComputerScience #LinkedIn