Python Expense Tracker Project for Beginners

🚀 Sharing My Python Learning Journey Hey everyone! I’ve started documenting my Python learning in a structured way and uploading it on GitHub. 📌 This repository includes: Basic Python concepts Simple explanations Easy-to-understand notes for revision 🔗 GitHub Repo: https://lnkd.in/gPiDJVnV I’ll be continuously updating it as I learn more (loops, functions, APIs, backend, etc.). If you're a beginner, this might help you too! And if you have suggestions, feel free to share 🙌 #Python #LearningInPublic #100DaysOfCode #BackendDevelopment #CodingJourney

Back in January, I started my Python journey with a simple goal: show up every day and learn something new. For the next few weeks, I shared topic-wise Python code and explanations on GitHub — covering everything from basics to core concepts like OOP, file handling, and more. I actually completed this journey about a month ago, but took some time to reflect on what I truly gained from it. Here’s what it taught me: • Consistency matters more than intensity • Writing code daily builds real confidence • Strong fundamentals make everything easier later It wasn’t always easy to stay consistent, but looking back, it was completely worth it. If you're just starting out, don’t overthink it — just begin and keep going. 🔗 GitHub: https://lnkd.in/g99jWh5p #Python #LearningInPublic #Consistency #CodingJourney

Doqtor officially supports Python now. I've been expanding the ecosystem so you can keep your Python docs in sync with your code automatically. It detects changes in .py functions and classes and updates your READMEs or docs so they stay honest. I also just added a Drift Analytics Dashboard. You can see your documentation health at a glance by tracking PRs, how much drift was detected, and which files are the top offenders. Data driven documentation management makes a huge difference. Check it out on GitHub: https://lnkd.in/g7pzX6Aw #OpenSource #Python #TypeScript #BuildInPublic #Documentation

#python #EP 1 Mastering Python Variables & Scope I’ve put together a beginner-friendly tutorial that covers everything we and I need to know about variables in Python — from naming rules and assignments to dynamic typing, object references, and the #LEGB scope resolution. 🔑 Key highlights in the tutorial: ✅ Rules for naming variables (valid vs invalid examples) 🎯 Assigning values & dynamic typing 📦 Multiple assignments in one line 🧩 Object references & how Python handles memory 🔍 Type checking & casting 🗑️ Deleting variables safely ⚡ Practical examples (swapping, counting characters) 🔑 Scope explained with the #LEGB rule (Local, Enclosing, Global, Built-in) 👉 Check out the full tutorial here: Python Variables & Scope – GitHub Repo git repo https://lnkd.in/g5vHi52w

Uploaded a small Python To-Do CLI project to GitHub today. A simple practice build to get better with Python basics, loops, conditions, lists, and logic building. Trying to stay consistent with small daily projects and learn by actually building. GitHub: [https://lnkd.in/gGscJtCP] #Python #GitHub #CodingJourney #PythonProjects #LearningInPublic

Inner Classes: Incorporating Structure and Organization Inner classes are a fascinating feature in Python that allows you to define a class within another class. This can help encapsulate functionality and logically group classes that are closely related. Instead of scattering your classes in the module scope, inner classes let you bundle them neatly while still providing access to the outer class’s attributes and methods. When you create an inner class, it behaves just like a regular class in many respects. However, it can access attributes and methods from the outer class. This is especially useful when the inner class is tightly coupled with the outer class, meaning its functionality is directly related to its outer counterpart. This can enhance code readability and maintainability. One important aspect to consider is that the inner class is scoped to the outer class. While you can create instances of the inner class directly from the outer class, doing so from outside requires an instance of the outer class. In this way, inner classes can help manage complexity in larger systems by keeping related functionality together without exposing it broadly. Quick challenge: How would you modify the inner class to include a method that interacts with an attribute of the outer class? #WhatImReadingToday #Python #PythonProgramming #InnerClasses #ObjectOriented #Programming

🚀 Day 43 of My 90-Day Python Learning Challenge Today I learned about Encapsulation in Python (OOP) and how to use getter and setter methods. Encapsulation helps in protecting data by restricting direct access and allowing controlled modification through methods. Key takeaways: • Understanding the concept of data hiding • Using private variables in a class • Accessing data using getter methods • Updating data safely using setter methods This concept helped me understand how to write more structured and secure code. Continuing to build strong fundamentals step by step 🚀 #Python #100DaysOfCode #CodingJourney #OOP #LearningInPublic #Consistency

🚀 Day 24 of My Python Learning Journey – Constructors & Access Specifiers Today I learned about Constructors in Python (__init__) and how objects are initialized. 🔹 Key Learnings: __init__() is a special method automatically called when an object is created Used to initialize attributes inside a class 🔐 Access Types in Python: Public → Accessible anywhere Protected (_var) → Convention-based usage Private (__var) → Name mangling for restricted access 💡 Practiced multiple examples to understand how objects store and manage data in real-world scenarios. 📂 GitHub Repository (My Daily Practice Code): 👉 https://lnkd.in/giyEbqTH 📌 Consistency is helping me build a strong foundation in OOP. #Python #OOP #100DaysOfCode #GitHub #CodingJourney #Learning #codegnan

🧠 Python Concept: pass statement Do nothing… but intentionally 😎 ❌ Problem if True: # nothing here 👉 Error ❌ (Python expects something inside) ✅ Pythonic Way if True: pass 🧒 Simple Explanation Think of pass like a placeholder 🧩 ➡️ “I’ll add code later” ➡️ Keeps program running ➡️ Does nothing 💡 Why This Matters ✔ Avoid syntax errors ✔ Useful in empty blocks ✔ Helps in planning code ✔ Common in real projects ⚡ Bonus Examples 👉 In functions: def future_function(): pass 👉 In loops: for i in range(5): pass 🐍 Sometimes doing nothing is important 🐍 Write code step by step #Python #PythonTips #CleanCode #LearnPython #PassStatement #Programming #DeveloperLife #100DaysOfCode

🚀 Day 4 of Python Journey – Conditional Statements After a short break, started again my python journey. Today, I focused on Conditional Statements in Python. Instead of just understanding theory, I worked on multiple implementations and practiced different variations to strengthen my logic building. 📂 What I covered: ✔ if statements ✔ if-else statements ✔ if-elif-else ladder ✔ Solved multiple questions based on conditions ✔ Built small logic-based programs One of the highlights was creating a temperature-based decision system using an if-elif ladder — simple concept, but great for understanding how decision-making works in real programs. 💡 Key Learning: It’s not about solving one question. It’s about solving many variations of the same concept until the logic becomes natural. 📈 Approach I’m following: Learn → Practice → Repeat → Improve This is just Day 4, but the focus is clear — building strong fundamentals that will help in problem-solving and real-world development. #Python #CodingJourney #100DaysOfCode #Programming #Learning #Consistency #ProblemSolving