Python Equality vs Identity: Understanding is vs ==

DAY 9 – Python Revision | Recursion Masterclass (Core Logic Building) #Python #Recursion #LogicBuilding #FAANGPrep #DSA Recursion means a function calling itself until a base condition stops it. Ye technique har FAANG interview ka core hoti hai, specially: Tree problems Backtracking Divide & Conquer Dynamic Programming Aaj ke 4 powerful recursion problems 👇 (clean code + explanation) 🧩 Problem 1 — Factorial using Recursion (Base Concept) Input: 5 Output: 120 ✔ Recursion Logic Base case → n == 0 → return 1 Recursive case → n * factorial(n-1) def factorial(n): if n == 0: return 1 return n * factorial(n - 1) print(factorial(5)) Output: 120 🧩 Problem 2 — Fibonacci Using Recursion (Interview Favorite) Input: 6 Output: 8 ✔ Recursion Logic Fib(n) = Fib(n-1) + Fib(n-2) def fib(n): if n <= 1: return n return fib(n - 1) + fib(n - 2) print(fib(6)) Output: 8 🧩 Problem 3 — Sum of Digits Using Recursion (Logic Booster) Input: 1234 Output: 10 ✔ Recursion Logic Base → jab number 0 ho Recursive → last digit add + remaining digits ka sum def sum_of_digits(n): if n == 0: return 0 return (n % 10) + sum_of_digits(n // 10) print(sum_of_digits(1234)) Output: 10 🧩 Problem 4 — Reverse a String Using Recursion (Amazon) Input: "hello" Output: "olleh" ✔ Recursion Logic Base → length 0 or 1 Recursive → last char + reverse of remaining string def reverse_string(s): if len(s) <= 1: return s return reverse_string(s[1:]) + s[0] print(reverse_string("hello")) Output: olleh

I recently explored Python Lists and how they work in real-world scenarios, and here’s what I learned 👇 Python lists are one of the most powerful and beginner-friendly data structures. They allow us to store multiple values in a single variable and work with them efficiently. In my blog, I covered: • Creating and accessing lists • Indexing and slicing • Adding, removing, and updating elements • Important methods like append(), remove(), sort(), reverse() • Real-world examples like shopping lists, student marks, and to-do lists 🔑 Key Learnings: • Lists are mutable, which makes them flexible for real-time changes • Built-in methods simplify complex operations • Lists are widely used in real-world applications and problem-solving Read the full blog here: https://lnkd.in/g5kK2jPF #Python #DataStructures #Coding #Programming #LearningInPublic #Tech #Beginners A heartfelt thanks to Vishwanath Nyathani, Raghu Ram Aduri, Kanav Bansal, and Mayank Ghai, along with my mentors Harsha Mg for their continuous guidance and motivation.

🚀 #100DaysOfPython – Day 2: Dictionary & Set Comprehension Yesterday was list comprehension—today, taking it a step further. 👉 Dictionary comprehension squares_dict = {i: i*i for i in range(5)} 👉 Set comprehension unique_squares = {i*i for i in range(5)} ✨ Same idea, different data structures ✨ Clean and expressive 💡 When is this useful? Transforming data into key-value format Removing duplicates (sets) Quick data reshaping ⚠️ Watch out: Overcomplicating comprehensions can hurt readability. If it feels hard to read, use a loop. 🔍 My takeaway: Python gives multiple ways to solve a problem—choose the one that’s easiest to understand later. Read more: https://lnkd.in/dXMCutRw #Python #100DaysOfCode #CodingJourney #LearnPython

🚀 Day 10 of Python Learning: Strings in Python Today I learned about Strings — one of the most commonly used data types in Python for working with text data. 🔹 What is a String? A string is a sequence of characters enclosed in single quotes, double quotes, or triple quotes. 🔸 Creating Strings name = "Rohit" city = 'Meerut' 🔸 Accessing Characters print(name[0]) # First character print(name[-1]) # Last character 🔸 String Slicing print(name[0:3]) # Roh print(name[2:]) # hit 🔸 Common String Methods text = "python learning" print(text.upper()) # PYTHON LEARNING print(text.lower()) # python learning print(text.title()) # Python Learning print(text.replace("python", "Java")) 🔸 String Length print(len(name)) 💡 Key Learning: Strings are immutable, which means individual characters cannot be changed directly. 🧪 Practice Task: ✔ Create a string with your name ✔ Print first and last character ✔ Convert text to uppercase ✔ Replace one word in a sentence 🎯 Interview Question: What is the difference between list and string in Python? Answer: A string stores text characters and is immutable, while a list stores multiple values and is mutable. 📌 Day 10 completed — consistency creates success! #Python #Learning #CodingJourney #Day10 #Programming #SDET #100DaysOfCode Masai #dailyleaning #masaiverse

🚀 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

Assalam o Alaikum 👋 💡 Python Tip: Stop Writing Extra Code — Use "enumerate()"! If you’re learning Python, this small function can make your code cleaner and smarter 🚀 What is "enumerate()"? "enumerate()" is a built-in Python function that helps you loop through a list while keeping track of the index (position) of each item. 👉 Normally, you do this: You create a counter variable, update it manually, and then access elements. But with "enumerate()"… Python does it for you automatically Example: my_list = ['apple', 'banana', 'cherry'] for index, fruit in enumerate(my_list): print(index, fruit) Output: 0 apple 1 banana 2 cherry Why use "enumerate()"? No need to create a separate counter Cleaner & more readable code Less chance of mistakes Perfect for loops where position matters Pro Tip: You can even change the starting index! for index, fruit in enumerate(my_list, start=1): print(index, fruit) 👉 Now counting starts from 1 instead of 0 🚀 Real Use Cases: • Numbering items in a list • Working with indexed data • Tracking positions in loops • Displaying ordered results If you're learning Python, mastering small functions like this will level up your coding fast! 👉 Follow for more simple Python & AI tips #Python #PythonTips #CodingForBeginners #LearnPython #AIAutomation #TechLearning

🔹 I recently explored how strings work in Python and how small syntax choices can make code more readable and efficient 👇 🔹 Blog Summary In this blog, I explain how Python allows strings to be defined using single quotes, double quotes, and triple quotes. I also cover when to use each approach, especially for multi-line text and writing clean, maintainable code. 🔹 Key Learnings ✔ Gained clarity on different ways to define strings in Python ✔ Learned how to handle quotes within strings effectively ✔ Understood the importance of readability in real-world coding  #Python #DataStructures #MachineLearning #AI #LearningInPublic #Coding #Tech A heartfelt thanks to Vishwanath Nyathani, Raghu Ram Aduri, Kanav Bansal, and,  Mayank Ghai, along with my mentors Harsha M. for their continuous guidance and motivation. Innomatics Research Labs

Python Lists: More Than Syntax—They’re a Mindset A list in Python is an ordered collection of items. Simple, right? But that simplicity is exactly why it matters. Because a list teaches something fundamental about how we think and build: 1) Order Creates Meaning A list doesn’t just store data—it stores sequence. In real life, progress is rarely random. It’s what we put first, second, and next that shapes outcomes. 2) Mutability Is Growth A list is changeable. You can update it. Remove what no longer serves you. Add what your next version needs. That’s what iteration is. That’s what learning is. That’s what improvement looks like in code—and in life. 3) Capacity for Diversity Lists can hold different data types. Not everything in your journey will look the same. Some days will be structured. Others will be messy. Still, they all belong in the same system—because you’re still moving forward. 4) Indexing Reflects Awareness Indices start at 0—meaning clarity comes from knowing where you begin. How we measure matters. What we count matters. Where we start matters. Sometimes the most profound tools are the ones we use so often that we forget their depth. A Python list is not just a data structure. It’s a model of how to organize thought, adapt with intention, and build something that can evolve. #Python #Lists #LakkiData #LearningSteps

Python Learning Journey – Dictionaries Deep Dive Dictionaries are one of the most powerful and flexible data structures in Python. Today, I explored some important functions that every developer should know 👇 📌 Core Dictionary Functions: ✔️ len() – Returns number of key-value pairs ✔️ clear() – Removes all elements ✔️ get() – Access values safely without errors ✔️ pop() – Removes specific key and returns its value ✔️ popitem() – Removes last inserted key-value pair ✔️ keys() – Returns all keys ✔️ items() – Returns key-value pairs ✔️ copy() – Creates a shallow copy ✔️ setdefault() – Returns value of key (adds if not present) ✔️ update() – Updates dictionary with new key-value pairs 💡 Advanced Concept: ✨ Dictionary Comprehension – A concise way to create dictionaries in a single line Example: {x: x*x for x in range(5)} 🎯 Mastering dictionaries helps in writing efficient and clean code, especially when working with real-world data. #Globalquesttechnologies #GR Narendra Reddy #Python #CodingJourney #100DaysOfCode #Programming #SoftwareDevelopment #PythonBasics #Learning

"ChatGPT just taught me Python in 5 steps. Here's exactly what it said 👇 Teaching mode is ON 🎓 Topic: Python (Basics) 1. Simple Explanation (Beginner Friendly) Python is a programming language used to give instructions to a computer. Just like you follow instructions in real life (e.g., “wake up → brush → go to school”), Python lets you give step-by-step instructions to a computer so it can do tasks for you. 2. Step-by-Step Breakdown Step 1: Your First Python Code Python print("Hello, World!") 👉 This tells the computer: “Display Hello, World!” Step 2: Output (Showing Results) print() is used to show something on the screen. Python print("I am learning Python") Step 3: Variables (Storing Information) Variables store data so you can use it later. Python name = "Soubhagya" age = 17 👉 Now Python remembers these values. Use them like this: Python print(name) print(age) Step 4: Taking Input from User Python name = input("Enter your name: ") print("Hello", name) 👉 The user types something, and Python uses it. Step 5: Basic Math in Python Python a = 10 b = 5 print(a + b) # addition print(a - b) # subtraction print(a * b) # multiplication print(a / b) # division 3. Real-Life Example 🏪 Imagine you're calculating your monthly pocket money. You get ₹100 every week. Python weekly_money = 100 total = weekly_money * 4 print(total) 👉 Python calculates your monthly money automatically instead of you doing it manually. 4. Quick Summary Python = language to talk to computers print() = display output Variables = store values input() = take user input Can do calculations and automate tasks 5. Your Turn (Test Question) 🧠 What will this code output? Python x = 8 y = 2 print(x * y)