Pranai Vummadisetty’s Post

🚀 Day 3 of #100DaysOfCode – Python Full Stack Journey Today at #Codegnan, I completed learning Conditional Statements, Operators, and Operands in Python 🐍 📌 Day 3 Learnings: 🔹 Conditional Statements: if if-else Nested conditions 🔹 Types of Operators: Arithmetic Operators → + - * / % Comparison Operators → == != > < >= <= Logical Operators → and or not Assignment Operators 🔹 Understanding Operands The values on which operators perform operations. 🔹 Practical Programs Implemented: ✔ Checking if a number is zero ✔ Finding the greater number between two numbers ✔ Checking even or odd ✔ Checking divisibility (5, 3, etc.) ✔ Working with logical conditions 💡 Key Takeaways: ✔ Logical thinking is improving day by day ✔ % operator is essential for divisibility logic ✔ Understanding operators deeply makes writing conditions easier ✔ Clean syntax and indentation are very important in Python Git link: https://lnkd.in/gwAEpEAX Every small concept strengthens the foundation for advanced topics ahead. 📈 Consistency > Motivation #100DaysOfCode #Python #FullStackDevelopment #LearningJourney #Codegnan #Day3 #KeepLearning

--> Python is more than just syntax— it's a problem-solving mindset. => I’ve been working on a comprehensive series covering everything from absolute basics of Python to crucial, all-around, and advanced concepts. => Whether you are just starting your coding journey or looking to solidify your foundation, these videos are designed to bridge the gap between learning and doing. And for my OS enthusiasts—I’m thrilled to share that the Operating System videos are officially ready to be staged! 🖥️✨ I’ve already posted the initial Python basics on my "YouTube" : https://lnkd.in/g3yKyUCC and "Instagram" : https://lnkd.in/gYiApRpE If you're tired of endless, confusing tutorials and want straight-to-the-point technical content, check out the links in the comments below 👇 Key Focus: Practical Python, Efficient Code Goal: Build a robust, real-world skill set 🚀 Let me know in the comments: What is the one Python topic you find the hardest to master? 👇 #Python #Programming #CodingLife #PythonLearning #OS #TechContent #Networking #LinkedInLearning #Developer #BeginnerCoder #CodeWithMe

10 Python Tips I Wish Someone Told Me as a Beginner 1. Start with interactive coding challenges. They make learning fun and engaging. 2. Build projects, not just code snippets. Projects teach real-world application. 3. Read other people’s code. It exposes you to different styles and solutions. 4. Skip advanced data structures at first. Focus on basics to build a strong foundation. 5. Use Jupyter Notebooks for experimentation. They’re great for testing and visualizing. 6. Learn to read error messages. They’ll guide you to fix issues faster. 7. Don’t rush to memorize syntax. Understanding concepts is more important. 8. Join coding communities online. Feedback and support can accelerate your progress. 9. Write clean, readable code from day one. It’s a habit that pays off. 10. Practice regularly, even if it’s just 15 minutes a day. Consistency beats intensity. Which tip resonated with you the most? #Python #CodingForBeginners #ProgrammingTips #LearnToCode #TechCommunity

💻 Want to Learn Coding from Scratch? Don’t know where to start? Start with Python — the most beginner-friendly and powerful language. We’re launching a FREE Python from Scratch Program 🐍 ✅ No prior coding knowledge needed ✅ Step-by-step beginner guidance ✅ Clear fundamentals ✅ Practical learning If you’ve been waiting for the “right time” to start coding — this is it. 🎯 Learn Python. Build skills. Start your tech journey. Join here: https://lnkd.in/gPjDvPPs

Python Control Flow Mastery: Interruptions and Iteration for Beginners https://lnkd.in/ezMJPS7p In this tutorial, we delve into the essential mechanics of Python loops, specifically focusing on how to manage interruptions and iterations using break, continue, and else. By default, a loop like for n in range(1, 10) will iterate through every value until the sequence is exhausted. However, Python provides the break statement to exit a loop entirely when a specific condition is met, effectively terminating the process early. Conversely, the continue statement allows you to skip only the current iteration—for instance, jumping over a specific number—and proceed immediately to the next item in the sequence. These tools are fundamental for creating efficient scripts that don't perform unnecessary work once a goal is reached or a specific data point needs to be ignored. Beyond simple interruptions, Python offers a unique else clause for loops that executes only if the loop completes its entire cycle without being interrupted by a break. This is particularly useful for verifying if a search was successful; if the loop finishes naturally, the else block can trigger a message or action indicating the item was not found. Whether you are using a for loop to iterate over a fixed range or a while loop to maintain a process until a condition changes, mastering these three keywords allows for sophisticated control flow. This logic is perfectly illustrated in real-world scenarios, such as an automated parking lot system that skips reserved spots, identifies the first available slot, or alerts the user if the entire lot is full. #PythonProgramming, #CodingTutorial, #PythonLoops, #LogicBuilding, #SoftwareDevelopment, #LearnToCode, #ControlFlow, #PythonTips

🚀 Day 2 — 100 Days of Code Challenge Continuing my #100DaysOfCode journey with another step toward strengthening my Python fundamentals. Consistency is key, and each day brings new learning opportunities. For Day 2, I worked on a Python project focused on Tip Calculator, which helps calculate how much each person should pay when splitting a bill, including the tip percentage. 🔹 Objective: The main objective of this task was to improve my understanding of user input, mathematical operations, and data type conversion in Python while building a practical real-world application. 🔹 Implementation Details: • Collected user inputs such as total bill amount, tip percentage, and number of people • Applied arithmetic calculations to determine the final amount per person • Used type casting to convert input values into appropriate data types • Displayed the calculated result in a clear and formatted output 🔹 Key Learnings: ✅ Working with numeric data types and type conversion ✅ Performing arithmetic operations in Python ✅ Understanding user interaction in command-line programs ✅ Improving logical thinking and problem-solving skills ✅ Writing clean and structured beginner-friendly code This project helped me understand how programming concepts can be applied to solve everyday problems. Step by step, I am building confidence and improving my coding skills. Looking forward to learning more and growing consistently throughout this journey. 💻✨ #Day2 #100DaysOfCode #Python #CodingJourney #LearningInPublic #Programming #DeveloperJourney

🚀 Python Journey — Day 12 | Implementing Functions | 10000 Coders Today I started implementing functions in Python and practiced converting different problems into reusable function-based solutions. Problems I solved : • Print numbers from 1 to n • Print numbers from m to n • Reverse numbers from n to 1 • Reverse numbers from n to m • Sum of n natural numbers • Factorial of a number • Sum of numbers from m to n • Product of numbers from m to n • Print factors of a number • Count number of factors • Prime number check • Even numbers from m to n • Odd numbers from m to n • Count of even and odd numbers • Reverse a string • Palindrome string check I implemented these problems using functions along with for and while loops to understand how logic can be organized into reusable blocks. Today's learnings: ✅ Implementing functions using def ✅ Passing parameters to functions ✅ Using return values from functions ✅ Reusing logic instead of repeating code ✅ Writing cleaner and more structured programs Today felt like an important step in writing better and more organized Python code. Thanks to Rudra Sravan kumar sir for the guidance and continuous support.. Learning daily and getting more confident 📌 Consistency > Motivation On to Day 13 #PythonJourney #Day12 #PythonFullStack #10000coders #LearningInPublic #Functions #ProblemSolving #CodeEveryDay #FutureDeveloper #KeepLearning #PythonDeveloper

🐍 Coding Practice: Building Skills that Stick Quizzes solidify my understanding of Python concepts. Coding exercises help me apply them in real scenarios. These steps ensure I’m ready to tackle full projects — from messy data to actionable insights. Because I want: ✅ Build confidence with functions, loops and libraries ✅ Solve small, structured problems that reflect real-world challenges ✅ Translate concepts into working code ✅ Make coding a tool for problem-solving, not just syntax memorization 👉Moving from “knowing syntax” → writing code that actually solves problems. #Python #DataAnalytics #ProjectBasedLearning #EndToEndLearning #CareerGrowth #Codebasics #CodebasicsBootcamp #MyPythonJourney

🚀 Completed: Python Basics for DSA – Phase 0 As part of my Data Structures & Algorithms journey in Python, I completed 20 foundational practice programs to strengthen core concepts before moving into advanced DSA topics. Strong fundamentals are the backbone of problem-solving. 🟢 PHASE 0 – Python Basics Here’s what I practiced: 🔹 Conditional & Logical Problems • Even or Odd • Largest of two & three numbers • Leap Year check • Positive / Negative / Zero 🔹 Loop-Based Problems • Factorial • Reverse a number • Count digits • Prime number check • Fibonacci series • Sum of first N natural numbers • Palindrome check 🔹 List-Based Problems • Maximum & Minimum element • Remove duplicates • Count even & odd numbers • List comprehension (squares) 🔹 Dictionary & String Problems • Character frequency counter • Highest scorer from student marks dictionary 🔹 Function & OOP • Created a simple class (Car) with attributes and methods 💡 Key Takeaway: Before solving complex DSA problems, being comfortable with loops, conditions, collections, and structured code is essential. This phase helped me improve: ✔ Logical thinking ✔ Code structuring ✔ Clean Python practices ✔ Confidence in problem-solving 🔗 I’ve uploaded all the practice programs here: 👉 https://lnkd.in/dbQwzmXZ Next Step: Time Complexity & Arrays. #Python #DataStructures #Algorithms #DSA #100DaysOfCode #ProblemSolving #CodingJourney #PythonDeveloper #BackendDevelopment #SoftwareEngineering #LearnInPublic #DeveloperJourney #ContinuousLearning #GrowthMindset #GitHub #TechJourney #Python #DataStructures #Algorithms #DSA #100DaysOfCode #ProblemSolving #CodingJourney #BackendDevelopment #SoftwareEngineering #LearnInPublic #DeveloperJourney #ContinuousLearning #GrowthMindset #PythonDeveloper #TechJourney #Python #Django #Docker #BackendDevelopment #WebDevelopment #FullStackDevelopment #FullStackDeveloper #SoftwareDevelopment #Programming #Coding #PythonDeveloper #DjangoDeveloper #DjangoORM #DjangoRESTFramework #DjangoProjects #RESTAPI #APITesting #AutomationTesting #QualityAssurance #BugFixing #Postman #TestCases #EmailAutomation #EmailIntegration #SMTP #SendGrid #NotificationSystem #ApplicationEmails #BackendFeatures #DockerCompose #Containerization #DevOps #CloudComputing #SoftwareDeployment #Microservices #ScalableSystems #100DaysOfCode #100DaysCodingChallenge #DailyCoding #CodingChallenge #CodeEveryday #LearningJourney #TechLearning #ContinuousLearning #KeepLearning #Upskilling #SelfLearning #PracticeMakesPerfect #BuildInPublic #LearningInPublic #PersonalProjects #RealWorldProjects #ProjectBasedLearning #DeveloperJourney #DeveloperLife #TechJourney #GrowthMindset #FromStudentToDeveloper #POS #Terminals #Payments #EMV #Cards #FinTech #QA #Automation #SDE #SDET #SWE #CareerGrowth #ITDevelopment #SoftwareEngineering #ProblemSolving

🚀 Learning Journey: Python Functions Mastery Today, I worked on strengthening my fundamentals in Python Functions 🧠💻 📌 Key areas I covered: 🔹 Function definition & syntax 🔹 Parameters and arguments 🔹 Return statement 🔹 Default parameters 🔹 *args and **kwargs 🔹 Lambda functions 🔹 Solving practice problems for better logic building 💡 This practice helped me understand how functions work and how they make code more reusable and organized in Python 🔍Boktiar Ahmed Bappy Inception BD Tanmay Chakraborty 🇮🇳 Mohd Navaid