Python Challenge: Working with APIs and GitHub

🚀 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

🚀 Mastering loops in Python: From beginner to pro! 🐍 Looping in Python is a powerful technique to perform repetitive tasks efficiently. It allows you to iterate over a sequence of elements and execute the same block of code multiple times. For developers, mastering loops is essential as it helps in automating tasks, processing large datasets, and improving code readability. 🛠️ Let's break it down: 1️⃣ Initialize a counter variable 2️⃣ Set the loop condition 3️⃣ Execute the code block 4️⃣ Update the counter variable ```python for i in range(5): print("Iteration:", i) ``` 🚩 Pro Tip: Use a `break` statement to exit a loop prematurely when a certain condition is met. ❌ Common mistake: Forgetting to increment the counter variable can result in an infinite loop. 🤔 What's your favorite use case for loops in Python? Share in the comments below! 💬 🌐 View my full portfolio and more dev resources at tharindunipun.lk #PythonProgramming #LearnToCode #CodeNewbie #DeveloperTips #PythonLoops #CodingJourney #TechSkills #CodeWithPurpose

🚀 Learning Python the Practical Way: Understanding Virtual Environments Over the past few days, I started learning Python and decided to focus on building instead of just reading syntax. Today, I explored one of the most important concepts for any developer: Virtual Environments (venv) Here’s what I understood: 🔹 A virtual environment is an isolated Python setup for a specific project 🔹 It prevents version conflicts between different projects 🔹 Each project can have its own dependencies without affecting others 💡 Why it matters: While working on multiple projects, different versions of the same library can break things. Virtual environments solve this by keeping everything separate and controlled. 🛠️ What I practiced: Creating a virtual environment Activating and deactivating it Installing packages inside it Understanding how Python uses project-specific paths This concept is very similar to how we manage dependencies in Node.js projects, but implemented differently in Python. Next step: Building a simple backend server using FastAPI to apply this knowledge in real projects. #Python #BackendDevelopment #FastAPI #WebDevelopment #LearningInPublic

🚀 Day 17 – Advanced OOP Concepts in Python Worked on understanding deeper concepts of object-oriented programming in Python. 🔹 Constructor in Python and whether it is compulsory 🔹 Difference between constructor and normal method 🔹 Types of variables – instance, local, and static variables 🔹 Creating instance variables inside constructor and methods 🔹 Deleting instance variables 🔹 Understanding that instance variables cannot be accessed using class name 🔹 Static variables and their usage across objects 🔹 When to choose static variables These concepts helped me gain a clearer understanding of how Python handles objects and data. ✨ Improving consistency and strengthening fundamentals step by step. Global Quest Technologies #Day17 #Python #Programming #OOP #Coding #Growth

🚀 A new Python tutorial is now live from CodeQueryHub! Understanding control flow (if, elif, else) is a key step in building strong programming logic—and this video breaks it down in a simple, beginner-friendly way. In this video: ✔️ Clear explanation of conditional statements ✔️ Practical examples to build logic ✔️ Easy-to-follow approach for beginners Whether you're starting your coding journey or revisiting basics, this can be a helpful resource. 🔗 Watch here: https://lnkd.in/gFPvMVCD #CodeQueryHub #Python #LearnPython #PythonForBeginners #Programming #Coding #PythonBasics #ControlFlow #IfElse #CodingForBeginners #Developer #TechLearning #SoftwareDevelopment #ProgrammingBasics #LearnCoding #PythonTutorial #CodingJourney #Developers #Tech #Education #Upskill #PythonLearning #CodeNewbie #ITJobs #CareerGrowth #DataScience #AI #MachineLearning #CodingLife #ProgrammingCommunity

I’m excited to share my latest Python project – a simple Expense Tracker built using core Python fundamentals. This project focuses on strengthening the basics and demonstrates how powerful simple concepts can be when applied effectively. It is developed using: • Variables • Lists & Tuples • Functions • Loops (for, while) • Conditionals (if-elif-else) • User Input • Basic Data Handling To make it beginner-friendly, I’ve also included text files with line-by-line explanations of the code, so anyone starting with Python can easily follow along and understand the logic behind the program. You can explore the complete project here: https://lnkd.in/gdce9UUX This is a great hands-on project for beginners looking to build a strong foundation in Python and understand how to structure small real-world applications. I’d appreciate your feedback and suggestions! #Python #BeginnerProject #PythonProjects #Coding #LearnPython #Programming #SoftwareDevelopment #100DaysOfCode #TechSkills #CareerGrowth

🚀 Day 18/30 – Python Challenge Stepping into Object-Oriented Programming (OOP) in Python! 🐍 🔹 Key Concepts Covered: * Classes and objects * **init** constructor method * Instance variables * Defining and calling methods 💻 Mini Task: Created a Student class with attributes like name and age, then created an object and displayed its details using a method. 🎯 Learning Outcome: Understood how OOP helps structure programs using real-world concepts, making code more organized, reusable, and scalable. This is a big step towards writing professional-level code 🚀 #Python #CodingChallenge #LearningJourney #OOP #BuildInPublic #StudentDeveloper #Day18

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

🚀 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