Python Learning Session with Ruthik Kanivel Sir at TERV PRO

🔁 Revisiting the Basics — Because Mastery Comes from Repetition 📚🐍 Lately, I’ve been intentionally going back and practicing Python fundamentals again and again. Instead of rushing into advanced topics, I’m focusing on strengthening the core concepts that make programming reliable and efficient. 💡 What I practiced today: 🐍 Python Exception Handling   ⚠️ Handling errors like ZeroDivisionError and ValueError   🧠 Using try, except, else, and finally blocks   ⌨️ Writing safer programs that handle unexpected user input   🔍 Understanding how programs behave when errors occur  Repetition may look simple, but it builds deeper understanding and confidence in writing clean and robust code. Strong foundations make advanced concepts much easier later on 🚀 Learning, practicing, improving — one concept at a time 💻✨ #Python #CodingPractice #ExceptionHandling #Programming #DataScienceJourney #LearningInPublic

Advanced Number Programs in Python – Logic Building Practice Continuing my Python problem-solving journey, I worked on more number-based programs focused on improving mathematical logic and loop handling. These problems helped me understand patterns, recursion thinking, and digit manipulation more clearly. 🔁 Fibonacci Concepts Covered: ✔ Generate Fibonacci series up to N ✔ Print first N Fibonacci numbers ✔ Find the Nth Fibonacci number ✔ Check whether a number is a Fibonacci number 🔢 Mathematical & Conversion Programs: ✔ LCM of two numbers ✔ GCD of two numbers ✔ Convert Decimal to Binary (using loops) ✔ Convert Binary to Decimal 🧠 Number Property Based Problems: ✔ Composite Number Check ✔ Harshad (Niven) Number ✔ Duck Number ✔ Neon Number ✔ Automorphic Number ✔ Magic Number ✔ Digital Root 📊 Digit-Based Logic: ✔ Print numbers whose sum of digits is even ✔ Sum of digits operations ✔ Pattern-based calculations Working on these problems improved my: Loop control mastery Conditional thinking Mathematical reasoning Debugging ability Every small problem strengthens the foundation for DSA and backend development roles. 📄 Full practice PDF attached. 🙏 Special thanks to my mentors 10000 Coders venubabu vajja and peers for continuous guidance and motivation throughout this learning journey. #Python #ProblemSolving #DSA #CodingPractice #BackendDeveloper #LearningJourney #100DaysOfCode

Most students think string manipulation in Python is basic. Until they actually try cleaning real-world data. Replacing multiple characters in a string sounds simple. But when you start chaining methods blindly or writing repetitive logic, your code becomes messy and inefficient. This is where structured understanding matters. In our latest blog, we break down three practical approaches to replace multiple characters in Python: • Using `replace()` for straightforward substitutions • Using `re.sub()` for pattern-based replacements • Using `str.maketrans()` with `translate()` for efficient multi-character mapping Each method serves a different purpose. The real skill is knowing when to use which one. Many learners struggle not because programming is difficult, but because they learn syntax without context. Tutorials teach commands. Mentorship builds clarity, problem-solving ability, and clean coding habits. At CodingZap, our focus is on strengthening fundamentals, improving logical thinking, and guiding students through practical coding scenarios. We believe real growth happens when learners understand the “why” behind the code. If you want to deepen your understanding of Python string handling, explore the full guide here: [https://lnkd.in/gPC-Wgjs) Strong fundamentals create confident developers. #PythonProgramming #CodingMentorship #LearnToCode #CodingZap #SoftwareDevelopment

🚀 30 𝐃𝐚𝐲𝐬 𝐨𝐟 𝐏𝐲𝐭𝐡𝐨𝐧 — 𝐃𝐚𝐲 #12 | 𝐑𝐞𝐯𝐢𝐬𝐢𝐨𝐧 𝐃𝐚𝐲 Day 12 was dedicated to revising the topics I learned earlier and strengthening my understanding of core Python concepts. Instead of learning something new today, I focused on going back through previous lessons and practicing them again to build a stronger foundation. 📌 𝑾𝒉𝒂𝒕 𝑰 𝑹𝒆𝒗𝒊𝒔𝒆𝒅: 🔹 Python operators (arithmetic, comparison, logical) 🔹 Conditional statements — if, if-elif-else, and nested if 🔹 Loop concepts — while loop and for loop 🔹 Understanding how these concepts work together in problem-solving 🛠 𝑾𝒉𝒂𝒕 𝑰 𝑹𝒆𝒗𝒊𝒔𝒆𝒅: ✔️ Solving practice questions using operators and conditions ✔️ Writing logic using if-elif-else statements ✔️ Revising while and for loops with small coding exercises ✔️ Strengthening problem-solving by revisiting earlier tasks 💡 𝑲𝒆𝒚 𝑻𝒂𝒌𝒆𝒂𝒘𝒂𝒚 Revision is just as important as learning new topics. Reviewing previous concepts helps reinforce logic and makes coding feel more natural. Each day of practice is helping me become more confident with Python. Day 12 complete ✅ Consistency and revision are building a strong coding foundation. 💻✨ #Python #30DayChallenge #Day12 #PythonLearning #CodingJourney #LearnToCode #Programming #TechGrowth #WomenInTech

When I started preparing for placements and solving problems on LeetCode, I kept running into the same issue. If my data got too big and I needed to check if an item was already there, searching through a normal list took O(n) time, which was just too slow. I knew Python dictionaries were fast and gave O(1) lookups, but they need key-value pairs, which didn't always fit my problem. What I didn't know back then was that Python sets are just as fast. Once I understood how sets work internally using hashing, my solutions became much cleaner and faster. They help in: 1. Finding items instantly 2. Removing duplicates automatically 3. Writing more efficient and readable code I wrote a short blog post explaining how sets actually handle duplicates internally and why they are so helpful for solving problems. The link to my Medium blog: https://lnkd.in/gPphiy6E I would love to hear your thoughts. What is your favorite built-in Python feature? Special thanks to Innomatics Research Labs for supporting continuous learning and encouraging us to share knowledge openly. #Python #DataStructures #LearningInPublic #Coding #Programming #Hashing #LeetCode #SoftwareDevelopment #TechBlog

🚀 Day 12 | Exception Handling in Python ⚠️ Every strong application starts with handling errors gracefully. In today’s notebook / carousel, I explored how Python manages errors and how we can convert technical crashes into clean, user-friendly experiences. 📌 In today’s learning, I covered: ✔ Purpose of Exception Handling ✔ Types of Errors (Compile-time, Logical, Runtime) ✔ What Exceptions actually are in Python ✔ Built-in vs User-Defined Exceptions ✔ try, except, else, finally, raise keywords ✔ Various forms of except blocks ✔ Standard exception handling flow ✔ Custom Exception development ✔ Using raise for project-specific rules What stood out most to me is this: Exception handling isn’t just about avoiding crashes — it’s about writing robust, production-ready code that protects user experience and keeps applications stable. Understanding how Python’s PVM reacts to errors, how control flow changes, and how custom exceptions model real-world business rules gave me a deeper engineering perspective beyond basic coding. 🙏 Grateful to my mentor Nallagoni Omkar Sir for guiding me through these fundamentals with clarity and practical understanding. 📌 Part of my learning-in-public journey — building strong Python foundations step by step. 👉 Next up: File Handling & Working with Files in Python 📂 #Python #ExceptionHandling #CorePython #DataScienceJourney #LearningInPublic #ProgrammingFundamentals #PythonDeveloper #StudentOfDataScience #NeverStopLearning

✅ 2. Student Grade Calculator (if–elif–else) Created a grading system that assigns grades based on marks obtained. Key Features: Implemented if–elif–else ladder for multiple conditions Automated grade classification (A, B, C, D, Fail) Used range checking and logical operators Eliminates manual grading errors Skills: Conditional Branching, Logical Operators, Problem Solving 🚀 Overall Learning Outcomes Through these projects, I strengthened: ✔ Problem-solving skills ✔ Logical thinking ✔ Python fundamentals ✔ Real-world decision automation Tech Stack: Python | Conditional Statements | Operators | Control Flow #Python #Programming #MiniProject #ProblemSolving #CodingPractice #SoftwareDevelopment #LearningJourney #DataScience #100DaysOfCode

Closing a chapter. Opening a new mindset. I just wrapped up the final topic of my Python module — and it hit different. This section was all about digit-based programming, and it pushed me to truly think in logic: ✅ Extracting digits from a number ✅ Printing only the odd digits ✅ Finding the sum of digits ✅ Identifying the greatest & smallest digit ✅ Calculating the difference between them ✅ Checking Spy Numbers 🕵️ (sum of digits = product of digits) ✅ Checking Neon Numbers ✨ (square's digit sum = original number) What started as simple number problems turned into a deep dive into loops, conditionals, and number manipulation — the real building blocks of programming logic. This wasn't just about solving problems. It was about learning how to think like a programmer. 💡 Every concept clicked a little more. Every bug fixed made me a little sharper. That's the journey. If you're just starting out in Python — keep going. The small wins stack up. 🚀 #Python #CodingJourney #LearnToCode #PythonProgramming #100DaysOfCode #BeginnerCoder #TechLearning #Programming #GrowthMindset #LinkedInLearning

📅 Day 6 — Classes & Exception Handling (Writing Smarter and Safer Code) Today’s learning introduced two concepts that made Python feel more structured and practical. 🔹 Classes (Object-Oriented Programming) Until now, I was writing small pieces of code. But classes help organize related data and functions together. Example idea: class Student: def init(self, name, marks): self.name = name self.marks = marks A class acts like a blueprint. Using this blueprint, we can create multiple student objects with their own data. This helps when working with larger datasets or real-world applications. 🔹 Exception Handling While coding, errors are normal. But instead of the program crashing, Python allows us to handle errors gracefully. Example: try: result = 10 / 0 except: print("An error occurred") This prevents the program from stopping suddenly and helps manage unexpected situations. ✨ What I understood today • Classes → Help structure and organize code • Exception Handling → Helps manage errors smoothly Learning Python step by step is slowly helping me see how real applications are built. #Day6 #PythonLearning #DataAnalyticsJourney #Codebasics #OnlineCredibility

📅 Day 16 of my Python Learning Journey 🚀 Logic is the real superpower behind programming. Today I practiced an important logical problem in programming — checking whether a number is a Prime Number using loops. 💻 Here’s what I worked on today: 🔹 Taking user input for a number 🔹 Using a for loop to test divisibility 🔹 Applying break to stop the loop when a divisor is found 🔹 Using for-else logic to determine if the number is prime 🔹 Strengthening my understanding of loop-based problem solving 🧠 Key insight from today: A number is prime if it is divisible only by 1 and itself. By checking divisibility from 2 to n-1, we can determine whether a number is prime or not. This exercise helped me understand how loops + conditions + break statements work together to solve logical problems efficiently. Small problems like this are powerful because they train the brain to think algorithmically. 📈 Day 16 complete — one step closer to mastering Python fundamentals. . . . . . . . . . . . . . . . . . . . #Python #CodingJourney #100DaysOfCode #Programming #LearningInPublic #ComputerScience #BuildInPublic 🚀💻