Polymorphism in Python Explained

🚀 Day 8 of Python Learning: Tuples and Sets in Python Today I learned about Tuples and Sets — two important data structures in Python used for storing collections of data efficiently. 🔹 What is a Tuple? A tuple is an ordered collection of items that cannot be changed after creation (immutable). 🔸 Creating a Tuple my_tuple = (1, 2, 3, 4, 5) 🔸 Accessing Elements print(my_tuple[0]) # First element print(my_tuple[-1]) # Last element 🔹 What is a Set? A set is an unordered collection of unique items. Duplicate values are automatically removed. 🔸 Creating a Set my_set = {1, 2, 3, 4, 4, 5} print(my_set) Output: {1, 2, 3, 4, 5} 🔸 Adding Elements my_set.add(6) 🔸 Removing Elements my_set.remove(3) 💡 Key Learning: Use tuples when data should not change, and sets when you need unique values only. 🧪 Practice Task: ✔ Create a tuple of 5 numbers ✔ Create a set with duplicate values ✔ Add and remove elements from a set ✔ Print all tuple values using a loop 🎯 Interview Question: What is the difference between list, tuple, and set in Python? Answer: List is ordered and mutable, tuple is ordered and immutable, while set is unordered and stores only unique values. 📌 Day 8 completed — learning one step at a time! #Python #Learning #CodingJourney #Day8 #Programming #SDET #100DaysOfCode Masai #masaiverse #dailylearning

Day 11 of my Python learning journey Today I tried solving the Two Sum problem using the Two Pointer technique. Before this, I was only solving Two Sum using a dictionary. But today I learned another approach that works when the array is sorted. Problem: Two Sum (Two Pointer Approach) Given a sorted array and a target value, find two numbers whose sum equals the target. Example: nums = [1, 2, 4, 6, 10] target = 8 Output: [2, 6] Because 2 + 6 = 8. What is the Two Pointer technique? Two pointers means using two positions in the array: one pointer starts from the left side one pointer starts from the right side Then we move them based on the sum. How it works: • If the sum is too small, move the left pointer forward • If the sum is too large, move the right pointer backward • If the sum equals the target, we found the answer Code: nums = [1, 2, 4, 6, 10] target = 8 left = 0 right = len(nums) - 1 while left < right: s = nums[left] + nums[right] if s == target: print(nums[left], nums[right]) break elif s < target: left += 1 else: right -= 1 Problems I faced while coding this: At first I did not understand why the array needs to be sorted. I was confused about when to move the left pointer and when to move the right pointer. I also tried using this method on an unsorted array and it did not work. What I finally understood: The Two Pointer technique works well when the array is sorted because it lets us adjust the sum efficiently without checking every pair. This reduces the time complexity compared to nested loops. Question: Would this approach still work if the array was not sorted? #Python #DSA #Coding #Programming #LearningInPublic #100DaysOfCode #PythonProgramming

🚀 Day 27 of My Python Learning Journey 🚀 Today I explored one of the most powerful concepts in Python: Polymorphism. 📌 Topics I Learned: 🔹 Advantages of Polymorphism • Improves code reusability • Makes programs more flexible • Reduces complexity • Helps in writing cleaner and scalable code 🔹 Important Terminologies in Python Polymorphism • Method Overriding • Operator Overloading • Duck Typing • Magic Methods 🔹 Duck Typing Philosophy in Python “If it walks like a duck and talks like a duck, then it is a duck.” 🦆 Python does not care about the object type, it only cares whether the required method or behavior is present. 🔹 Operator Overloading Python allows us to redefine the behavior of operators for user-defined objects. Example: + operator can perform different tasks: • Addition for numbers • Concatenation for strings and lists 🔹 Method Overriding A child class can redefine the method of the parent class with its own implementation. 🔹 Magic Methods Used for Operator Overloading • add() → + • sub() → - • mul() → * • truediv() → / • lt() → < • gt() → > • eq() → == 🔹 Error Associated with + Operator Trying to add incompatible data types gives an error. Example: 5 + "Python" Output: TypeError: unsupported operand type(s) for +: 'int' and 'str' Learning polymorphism made me realize how Python gives flexibility to write smart and dynamic code. Excited to learn more every day! 💻✨ Thanks for your support G.R NARENDRA REDDY sir #Day27 #Python #Polymorphism #DuckTyping #OperatorOverloading #MethodOverriding #MagicMethods #PythonProgramming #CodingJourney #LearningPython #FutureDeveloper

Day 3 of my Python & DSA learning journey 🚀 A simple string completely confused me today 🤯 "A man, a plan, a canal: Panama" — is this a palindrome? At first glance I thought — no way, there are too many symbols! But Python solved it in just a few lines. Here's what I learned today 👇 ❓ Valid Palindrome (Ignore Symbols) A palindrome is a word that reads the same forward and backward. Examples: madam racecar But what if the string contains spaces, commas, or symbols? Example: "A man, a plan, a canal: Panama" It is still a palindrome — we just need to ignore the non-alphanumeric characters. 📌 Python provides a very useful function for this: isalnum() → it checks whether a character is a letter or a number. 💻 Example in Python s = "A man, a plan, a canal: Panama" result = "" for ch in s: if ch.isalnum(): result += ch.lower() if result == result[::-1]: print("Palindrome") else: print("Not Palindrome") Output: Palindrome ✅ Here we: • Removed symbols using isalnum() • Converted characters to lowercase using .lower() • Compared the string with its reverse Just a few lines of code — problem solved! 🔥 🔥 Question for developers: Is "race a car" a valid palindrome according to this logic? Drop your answer in the comments and explain why 👇 👀 Day 4 Teaser Tomorrow I’ll share a very interesting string trick used in coding interviews: How to check if two strings are rotations of each other in just one line of Python. Stay tuned 🚀 #Python #DSA #Coding #Programming #LearningInPublic #100DaysOfCode #PythonProgramming

Day 18 of my Python learning journey Today I tried another good problem based on the Two Pointer technique. Problem: Merge Sorted Array Given two sorted arrays, merge them into one sorted array. Example: arr1 = [1, 3, 5] arr2 = [2, 4, 6] Output: [1, 2, 3, 4, 5, 6] What I understood: Since both arrays are already sorted, we do not need to sort again. We can compare elements from both arrays and place the smaller one first. Better approach (Two Pointer): One pointer for arr1 One pointer for arr2 Compare both values Add the smaller value to the result Code I wrote: arr1 = [1, 3, 5] arr2 = [2, 4, 6] i = 0 j = 0 result = [] while i < len(arr1) and j < len(arr2): if arr1[i] < arr2[j]: result.append(arr1[i]) i += 1 else: result.append(arr2[j]) j += 1 while i < len(arr1): result.append(arr1[i]) i += 1 while j < len(arr2): result.append(arr2[j]) j += 1 print(result) Problems I faced while coding this: At first I thought I had to combine both arrays and then sort them. I was confused about why two pointers are enough. I also forgot to handle the remaining elements after one array finishes. What I finally understood: Because both arrays are sorted, we can merge them in one pass. This saves extra sorting work and makes the solution efficient. Time and Space Complexity: Time Complexity: O(n + m) Space Complexity: O(n + m) Question: What will be the output for: arr1 = [1, 2, 7] arr2 = [3, 4] Today’s realization: Sometimes the best solution is not creating something new, but combining what is already ordered. #Python #DSA #Coding #Programming #LearningInPublic #100DaysOfCode #PythonProgramming

🚀 Day 11 of Python Learning: Loops and Patterns in Python Today I practiced loops in Python and learned how to create patterns using nested loops. This helps improve logic building and problem-solving skills. 🔹 What are Patterns? Patterns are shapes or number/star designs created using loops. They are great for understanding loop control and nested loops. 🔸 Using For Loop for i in range(5): print("*") 🔸 Star Pattern Example for i in range(1, 6): print("*" * i) Output: * ** 🔸 Number Pattern Example for i in range(1, 6): for j in range(1, i + 1): print(j, end=" ") print() 💡 Key Learning: Nested loops are useful when one loop runs inside another loop, especially for patterns and matrix-style problems. 🧪 Practice Task: ✔ Print reverse star pattern ✔ Print square pattern using stars ✔ Print number triangle pattern ✔ Try same patterns using while loop 🎯 Interview Question: What is a nested loop in Python? Answer: A nested loop is a loop inside another loop. It is used when repeated iterations are needed within each cycle of the outer loop. 📌 Day 11 completed — logic building step by step! #Python #Learning #CodingJourney #Day11 #Programming #SDET #100DaysOfCode Masai #dailyleaning #masaiverse

Day 6 of my Python learning journey Today I tried solving a problem that looked easy at first, but understanding the logic took some time. Problem: Two Sum Given a list of numbers and a target value, find the indices of the two numbers that add up to the target. Example: nums = [4, 5, 1, 8] target = 9 Output: [0, 1] Because 4 + 5 = 9. Code I wrote: nums = [4, 5, 1, 8] target = 9 d = {} for i in range(len(nums)): num = nums[i] comp = target - num if comp in d: print("Indices:", d[comp], i) print("Values:", nums[d[comp]], nums[i]) break d[num] = i Problems I faced while coding this: At first I tried two nested loops, which worked but felt inefficient. I was confused about why we store numbers in a dictionary. The line d[num] = i also confused me because I didn’t understand why we save the index. It also took time to understand how comp = target - num helps find the pair. What I finally understood: Instead of checking every pair, we store numbers we have already seen in a dictionary. Then we check if the required number already exists. This reduces the time complexity from O(n²) to O(n). From tomorrow we will start something different. I’m planning to build a small Python project that will take about 1 week. Tomorrow I will share the project roadmap, and then we will start with Day 1 of the project. #Python #DSA #Coding #Programming #LearningInPublic #100DaysOfCode #PythonProgramming

I started learning Python. Here's everything I've built into my brain so far day by day, concept by concept. → if / else statements Teaching the computer to make decisions. The moment this clicked, I felt like I was actually writing logic not just typing commands. → for loops & while loops Automation starts here. Instead of repeating myself, I let the code do the work. → logical operators Combining conditions with and, or, not. Simple but incredibly powerful once you see it in action. → arithmetic & comparison operators The foundation of every calculation and every decision in code. → operator precedence Python follows rules just like math. Understanding this saved me from confusing bugs. → formatted strings (f-strings) My favourite discovery so far. Clean, readable, dynamic text output in one line. → string methods .upper() .strip() .replace() .split() tools that make working with text feel effortless. → math functions Built-in tools like round(), abs(), pow() — Python does the heavy lifting. The biggest lesson so far? Confusion is not a sign you're failing. It's a sign you're learning. Every single concept above confused me at first. I stayed with it. I kept going. I'm sharing this publicly to hold myself accountable and because I know many people are quietly upskilling on the side without telling anyone. If that's you you're not alone. Keep going. 💪 What skill are you currently learning? Drop it in the comments. Let's inspire each other. 👇 #Python #LearningInPublic #CareerGrowth #SelfDevelopment #CodingJourney #GrowthMindset #ProfessionalDevelopment #TechSkills #100DaysOfCode #CodeNewbie

I started learning Python by copy-pasting code. Ran it. It worked. Felt like I was learning. I wasn't. So I changed how I approach it. First, I ask Claude to explain the code line by line. Then I close everything and rewrite it myself. No pasting. Then I break it on purpose. Change a value. Remove a line. Pass something wrong. Watch it crash. Read the error slowly. And here's the habit that actually stuck; I maintain an error book. Every error I hit, I write it down. What broke. Why. How I fixed it. Now when something fails, I follow this order: Try to solve it from memory first. If I can't, check the error book. If it's not there, go research it properly. Docs, articles, forums. AI is the last resort. Not the first. Because if I ask Claude every time something breaks, I'm not learning Python. I'm learning how to ask Claude. The error book made me remember more than any tutorial ever did. #Python #CloudSecurity #LearningInPublic

“Python doesn’t just teach you code… it teaches you how to think.” Before starting my journey, coding felt like a different world — full of complexity and confusion. But learning Python at ACTE Technologies completely changed my perspective. Python is a versatile and beginner-friendly programming language used in everything from web development to Artificial Intelligence. What makes it special is how simple and readable it is — even complex problems can be solved with clean, understandable code. The more I learn, the more I realize that Python is not just about writing programs — it’s about solving real-world problems, step by step. From automation to data analysis, Python opens doors to endless opportunities. And with the right guidance at ACTE Technologies the journey becomes even more practical and industry-focused. Still learning, still growing… one line of code at a time. If you're learning Python too, what’s something new you discovered recently? Let’s share in the comments 👇🏻 #Python #LearningEveryday #ACTETechnologies #CodingSkills #FutureInTech #AI #Programming #StudentLife #Upskill #TechJourney