Python Fundamentals Complete: GitHub Repository

Excited to share my latest project: Python Basics to Advanced Repository I’ve created a comprehensive Python repository that covers concepts ranging from fundamentals to advanced programming techniques. This project is designed as a structured learning resource for beginners as well as a quick revision guide for intermediate learners. What this repository includes: • Core Python fundamentals – variables, data types, operators • Control structures – conditionals and loops • Data structures – lists, tuples, sets, dictionaries • Functions and modular programming • File handling and exception handling • Searching and sorting algorithms • Object-Oriented Programming (OOP) concepts This repository reflects my hands-on learning journey and focuses on clear, simple, and practical implementations to strengthen problem-solving skills. Similar structured Python learning paths typically progress from basics to advanced topics including algorithms and OOP to build strong programming foundations. Whether you're starting your coding journey or brushing up on Python concepts, this repository can serve as a useful guide. I’d love to hear your feedback and suggestions! Feel free to explore, fork, and contribute. Link:- https://lnkd.in/g-wykR-X #Python #Programming #Coding #GitHub #Learning #SoftwareDevelopment #OpenSource #100DaysOfCode #Developers #PythonProjects

🐍 Python videos to help you master the #1 programming language! We've compiled a list of 12 fantastic YouTube channels that offer exceptional Python tutorials to supercharge your coding journey. From data science to web development, these channels cover it all: - Python Programmer: Concise data science and ML videos - Luke Barousse: Engaging Python and SQL lessons - Codebasics: Hands-on projects and ML deployment - StatQuest: Making statistics approachable with Python - Sundas Khalid: Bridging Python theory and practice - Programming with Mosh: Web development best practices - Corey Schafer: Detailed automation tutorials - Sentdex: Real-world machine learning applications - Socratica: Clear, concise Python fundamentals - Tech With Tim: Game development and AI focus - Clear Code: Clean tutorials with fun themes - ArjanCodes: Experienced teacher with high quality tips Whether you're a beginner or looking to level up, these channels offer diverse learning styles to suit your needs. Looking for an all-in-one course to master Python? Check out our Python Programmer Bootcamp, taught by the Python Programmer himself! 🔗 https://bit.ly/3TW9SN5 #python #pythonprogramming #learnprogramming #learncoding #youtubers #learndatascience 

Sometimes, the best way to move forward… is to go back to the basics. 🐍 Over the last few days, I spent time revisiting Python — not by just watching videos or reading notes, but by actually writing code, making mistakes, fixing them, and understanding why things work. I practiced and built small programs around: ✅ Functions ✅ Lists, dictionaries, and sets ✅ File handling ✅ Error handling ✅ OOP concepts ✅ Inheritance ✅ @property and magic methods ✅ Working with files and folders using the os module And honestly, this kind of practice hits differently. Every small bug I fixed taught me something. Every concept I struggled with made more sense after writing code around it. One thing this reminded me of: 👉 Good engineers are built on strong basics. No shortcuts. Just consistency, curiosity, and hands-on practice. I’ve uploaded all my Python practice programs here: 🔗 GitHub Repo: https://lnkd.in/gGUPgkWU Still learning. Still building. And enjoying the process. 🚀 If you’re also going back to the basics right now — you’re not starting over. You’re building stronger this time. #Python #LearningInPublic #PythonProgramming #GitHub #CodingJourney #SoftwareEngineering #DeveloperLife #100DaysOfCode

🚀 Day 7 of My Python Learning Journey Today was all about Conditional Statements in Python — a fundamental concept that brings decision-making into programs. Here’s what I explored today 👇 🔹 if statement → Used to check conditions and execute code only when the condition is true 🔹 if-else statement → Introduced fallback logic when a condition is false 🔹 if-elif-else ladder → Helped me handle multiple conditions efficiently 💻 Hands-on Practice I Did: ✔️ Age eligibility checker ✔️ Attendance-based exam eligibility ✔️ Budget vs price comparison ✔️ Shopping cart free delivery logic ✔️ Grade classification system ✔️ Simple Calculator (2 versions 🔥) ✔️ Even/Odd number checker ✔️ Positive/Negative/Zero identifier All tasks are implemented with user inputs and real-world logic to strengthen understanding. You can check out my code here 👉 https://lnkd.in/gWYTz6nf 💡 Key Learning: Conditional statements are the backbone of logic building. They are used everywhere — from login systems to real-world applications like pricing, validation, and automation. 🎯 Next Goal: Keep building more real-world mini projects using Python and strengthen my problem-solving skills as I move toward full stack development. #Day7 #Python #CodingJourney #100DaysOfCode #LearningInPublic #FullStackDevelopment Codegnan Saketh Kallepu

🐍 Python Notes I Wish I Had When I Started Learning Python When people start learning Python, they often jump straight into coding. But without a clear structure, it becomes confusing very quickly. So I organized my Python learning notes in a simple roadmap that covers everything from basics to core programming concepts. Here’s what the notes include 👇 📌 Introduction to Python • History & real-world applications • Installation & setup • Interactive programming basics 📌 Python Fundamentals • Tokens, keywords, identifiers • Literals & escape sequences • Input / Output functions 📌 Operators & Conditional Statements • Arithmetic, relational & logical operators • if, if-else, nested conditions 📌 Loops & Control Statements • for loop, while loop • break, continue, pass 📌 Core Data Structures • Arrays & NumPy basics • Strings & string operations • Lists, Tuples, Sets & Dictionaries 📌 Functions & Advanced Concepts • User-defined functions • Lambda functions • Recursive functions. 📌 Object-Oriented Programming • Classes & Objects 📌 Modules & Packages • Libraries & important packages 📌 Date-Time Module This covers most of the core Python concepts beginners struggle with. If you're learning Python for: 📊 Data Analytics 🤖 Data Science 💻 Automation 📈 Business Analytics these notes will give you a strong foundation. 📌 Save this post so you can follow this roadmap while learning Python. #Python #LearnPython #DataAnalytics #Programming #TechSkills

Week 9 – CS50’s Introduction to Programming with Python (Final Project Week) This week marked the culmination of my CS50 Python journey at Harvard University with the final project! After 9 weeks of learning Python from variables, loops, and functions to file I/O and object-oriented programming.I applied all my skills to design a fully functional, real-world application. Some highlights of my final project: • Integrated concepts from OOP, file handling, and modular programming • Designed classes and methods for clean, reusable code • Implemented user input validation and error handling for robustness • Utilized Python libraries to enhance functionality and interactivity • Wrote unit tests with pytest to ensure reliability This project was an exciting opportunity to consolidate everything I learned and create a program that is both practical and scalable. It pushed me to think critically about software design, problem-solving, and testing—all essential skills for a developer. All code and documentation are available on my GitHub: https://lnkd.in/gsBredB7) https://lnkd.in/gf7murny Looking forward to applying these skills to more advanced Python projects and real-world software development! #Python #CS50P #Harvard #FinalProject #Programming #SoftwareDevelopment #OOP #LearningJourney #Coding

🚀 Day 9 of My Python Learning Journey Today, I worked on building two Python programs that helped me strengthen my fundamentals 💻 🧠 Mini Project 1: Student Percentage Calculator 📊 💡 What I learned & implemented: Taking user input Performing calculations Using type conversion (int) Formatting output using f-strings ✔ The program calculates percentage based on marks entered by the user 📌 Sample Output: "The result of Vinayak is 96.67% Well Done!" 🧠 Mini Project 2: User Data Collection using Dictionary 🧾 💡 What I learned & implemented: Creating and using dictionaries Storing multiple data types (string, int, float) Taking structured user input ✔ The program stores user details in a dictionary format 📌 Sample Output: {'name': 'vinayak', 'age': 34, 'Height': 5.11, 'student': 'yes'} 🔍 Key Learning: Understanding how to take input, process it, and store it efficiently is the foundation of programming and data analytics. 💭 Building small projects like these is helping me gain confidence and think logically step by step. Excited to keep learning and growing every day 🚀 #Python #LearningJourney #DataAnalytics #100DaysOfCode #Beginner #Coding

🚀 From Zero to Python Hero – My Beginner Guide is Here! 🐍Python is one of the most powerful yet beginner-friendly programming languages—and the best part? Anyone can start 🚀 I’ve put together a complete step-by-step Python guide covering everything from basics to real-world applications. 📘 Inside this guide, you’ll learn: ✅ What Python is & why it’s in-demand ✅ Installation on Windows & Linux ✅ Tools like VS Code, PyCharm & Jupyter ✅ Core concepts: variables, loops, functions, lists & dictionaries ✅ OOP made simple ✅ File handling, regex & exception handling ✅ Real-world use cases like Fibonacci & stock market basics 💡 Whether you're a student, career switcher, or working professional—this guide will help you build a strong foundation. 📌 Key takeaway: Consistency > Complexity Start small → Grow fast 🔁 Repost to help someone start their coding journey 👉 Follow Rohith Vannawada for more content like this #Python #Programming #CodingForBeginners #Tech #Learning #CareerGrowth #100DaysOfCode #Developers #AI #DataScience

🚀 Day 14 – Mastering Python Comprehensions & Lambda Functions 🔥 Today I explored one of the most powerful and Pythonic concepts – List Comprehension, Dictionary Comprehension & Lambda Functions. This session helped me understand how to write clean, concise, and efficient code by replacing traditional loops with smarter approaches. 🔹 List Comprehension ✔ Creating lists in a single line ✔ Using conditions (if, if-else, if-elif-else) ✔ Nested loops & flattening lists 🔹 Dictionary Comprehension ✔ Efficient key–value creation ✔ Filtering & conditional mapping ✔ Transforming and combining data 🔹 Lambda Functions ✔ Anonymous functions for quick operations ✔ Used with map(), filter(), sorted() ✔ Applying conditions & real-time logic 📦 Advanced Applications: ✔ Nested comprehensions for complex structures ✔ Conditional logic handling inside expressions ✔ Filtering prime numbers using optimized logic ✔ Writing clean and optimized Python code 💡 This topic made me realize how important it is to: • Write readable and optimized code • Think in a Pythonic way • Solve problems efficiently in real-world scenarios 🙏 A special thanks to my mentor Nallagoni Omkar for the continuous guidance and clear explanations. ➡️ Next Topic: Advanced Python Concepts / Class, Objects(OOPS) 🚀 #Python #ListComprehension #DictionaryComprehension #LambdaFunction #LearningJourney #DataScience #Programming #PythonDeveloper #Coding

🚀 Learning Project: Expense Tracker Web App (Python + Streamlit) 🌐 Live App 🔗 https://lnkd.in/gcDQBD_i As part of improving my Python fundamentals, I built a simple Expense Tracker Web App using Streamlit. This project was mainly created as a learning exercise to better understand important Python concepts like File Handling, Exception Handling, and Object-Oriented Programming (OOP). 💡 What the app can do • Add and store daily expenses • View all recorded expenses • Calculate total spending • Simple web interface built with Streamlit 🛠 Technologies Used • Python • Streamlit • CSV file storage 📚 Concepts I Practiced • File handling for storing and retrieving data • Exception handling for managing invalid inputs • Object-Oriented Programming (classes and methods) • Structuring a small real-world Python application 💻 GitHub Repository 🔗 https://lnkd.in/g5RcAxE3 This is a beginner learning project, but it helped me understand how Python concepts are used in real applications. #Python #Streamlit #LearningByBuilding #BeginnerProject #SoftwareDevelopment