Python Library Built from Scratch with CLI and Testing

#100DdaysOfCode Day-9 Today’s Learning Update | Python Programming Today, I strengthened my understanding of some fundamental yet powerful Python concepts: Loop Control Keywords Learned how break helps exit a loop when a condition is met. Understood how continue skips the current iteration and moves to the next one. These keywords are extremely useful for controlling program flow and optimizing logic. Functions in Python Explored how functions improve code reusability, readability, and modularity. Understood why functions play a crucial role in writing clean, maintainable, and scalable Python programs. I’m documenting my learning journey and pushing practice code regularly to GitHub. 🔗 GitHub Practice Code Day-9: https:https://lnkd.in/gkNVAbbK Consistent learning, consistent growth. Looking forward to building more logic-driven programs and real-world projects. #Python #LearningJourney #Programming #Functions #Loops #BreakAndContinue #GitHub #Codegnan

Every bug fixed is a step closer to mastery. 🐍 (Python) 🚀🚀🐛 (bugs 😄) 🚀 Learning Python by Building Real Projects 🐍 Today I worked on a Student Grade Management System in Python, developed using Thonny IDE. This small project helped me strengthen my understanding of core Python concepts such as: ✅ User input handling ✅ Type casting (int) ✅ Conditional statements (if / elif / else) ✅ Percentage calculation ✅ Grade classification logic ✅ Clean and readable output formatting 📊 The program takes student details and subject marks, calculates the total and percentage, and then automatically assigns grades (A+, A, B, C, D, or Fail) based on performance. Projects like these may look simple, but they are powerful for building logic, confidence, and problem-solving skills as a Python learner. Every line of code is a step forward 💡 Excited to keep learning and improving—next goal: file handling and data storage! #Python #Programming #LearningByDoing #StudentProjects #PythonBeginner #CodingJourney #ThonnyIDE #SoftwareDevelopment

Day 18 of #WhatILearnedToday 🐍 Today I learned about Python Modules and Packages—how Python helps us organize code efficiently and reuse it across projects. 🔹 Modules allow us to split code into separate .py files 🔹 Packages help group related modules using a directory structure This approach improves readability, maintainability, and scalability, especially when working on larger applications. Understanding imports, built-in modules, and third-party packages made my Python learning feel more structured and professional. Writing clean code isn’t just about logic—it’s also about organization 📦 💬 Which Python module or package do you use the most? #WhatILearnedToday #Python #Modules #Packages #PythonLearning #Programming #CleanCode #DeveloperJourney #Upskilling

🚀 New Project Completed: Python Contact Book Application I developed a command-line Contact Book application using Python fundamentals. The project supports adding, searching, displaying, editing, and deleting contacts. Contact details are stored permanently using file handling. 🔹 Technologies: Python, File Handling 🔹 Type: Academic Project 🔹 GitHub Repository: https://lnkd.in/gX_DqB6g #Python #Programming #GitHub #Learning #StudentProject #PythonProjects

Python Full Stack Development – Day 4 🚀 📌 Topic: Control Statements / Conditional Statements (with Flowchart) On Day 4 of my Python Full Stack learning journey, I explored how Python programs make decisions using control (conditional) statements. 🔹 What are Control / Conditional Statements? Control statements decide the flow of execution in a program based on conditions (True or False). They help a program choose which block of code should run. 🔹 Types of Conditional Statements in Python ✔ if ✔ if – else ✔ if – elif – else ✔ Nested if 🔹 Working Concept (Flowchart Explanation) Program starts A condition is checked If the condition is True, a specific block executes If False, another block (or next condition) executes Program ends

Python Learning Journey of Day 30 Today I learned about Docstrings in Python an important concept for writing clean and maintainable code. Docstrings help in documenting functions, classes and modules making code easier to understand and use. Proper documentation improves readability and is a key practice in professional development. ➡️ Key takeaways: What docstrings are and why they are important Writing single-line and multi-line docstrings Using __doc__ to access documentation Importance of documentation in real world projects Code Link:https://lnkd.in/d4Qyy5tF Code with Harry #Python #PythonDeveloper #LearningJourney #Docstring #CleanCode #Programming #SoftwareDevelopment

Learning Python – Sets 🚀 As part of my 100 Days of Python Challenge, today I practiced working with sets in Python and explored different set operations through hands-on coding. What I worked on: • Creating and modifying sets • Set operations like union, intersection, and difference • Understanding how sets handle unique values • Committing code changes to GitHub for version tracking Sharing both the code and the commit to stay transparent and consistent with my learning. 🔗 Code (Notebook): https://lnkd.in/gbME4-bT

Python Practice Assignments – Learning by Doing As part of my Python learning journey, I have been consistently working on practice assignments to strengthen my understanding of core programming concepts. These assignments focus on: Python fundamentals and syntax Conditional statements and loops Functions and modular coding List operations and basic data handling Problem-solving and logical thinking Regular and consistent practice has helped me improve code clarity, logic building, and confidence in implementing concepts practically. 🔗 GitHub Repository (Python Assignments): https://lnkd.in/gSS-gap5 I will continue updating this repository as I progress toward more advanced concepts and real-world projects. #Python #PythonLearning #Consistency #DailyPractice #CodingJourney #Programming #GitHub #LearningByDoing

Python Calculator – 2nd Edition 🧮🐍 I built the second edition of my Python CLI calculator to improve structure, usability, and logic handling. What’s new in this version: 👉 Operator-based input (+ - * /) instead of numbered menus 👉Looping support to perform multiple calculations in one run 👉Cleaner code using functions 👉Better user interaction through the terminal This project helped me strengthen my understanding of: 👉Functions & return values 👉Loops and control flow 👉User input handling 👉Writing readable, structured Python code 🔗 GitHub repository: [link in comments] I’m continuing to build one Python project every week and improve step by step. #Python #Programming #LearningInPublic #BeginnerDeveloper #CLI #GitHub

During my earlier semesters, I compiled a structured Python fundamentals repository while learning and practicing the language in depth. I’m sharing it now in my final year in case it helps others who are building or revisiting their Python foundations. The repository covers core concepts, clean implementations, and commonly used patterns that remain relevant beyond coursework. 🔗 GitHub: https://lnkd.in/gXDStNqj If you find this useful, feel free to ⭐ the repo and follow for more learning-focused content. Feedback and suggestions are welcome.