KRISHNA SAI TEJA PRATAP ELLAMPALEPU’s Post

Python Dictionary Comprehension Practice Today I Practiced solving problems using Dictionary Comprehension in Python, which helped me write shorter, cleaner, and more efficient code. Concepts I worked on: Creating dictionaries of squares and filtered even numbers Character frequency counting Inverting keys and values Conditional filtering (values > 10) Odd/Even labelling Working with ASCII values and word lengths Learning these helped me understand how Python handles key-value pairs efficiently using just one line of logic. Every day, one new concept, one step closer to mastering Python! Sharing my practice work below #Python #DictionaryComprehension #CodingPractice #LearningJourney #FullStackDeveloper #10000Coders #CodeEveryday #Programming #Thank_You Ajay Miryala Sir

Welcome back, Python learners! 🐍 Today, let’s dive into one of the most interesting topics — Type Casting, Type Conversion in Python and Operators ✨   ->Converting data types correctly helps avoid errors and write cleaner, more flexible code.   ->Operators are the tools that help Python perform calculations, comparisons, and logic. Swipe to explore all with examples 👇 #Python #PythonBasics #LearnWithMe #Coding #LinkedInLearning #DataScience #Programming #TechCommunity #Upskill

🐍 Day 3: Python Learning Today I explored one of Python’s most powerful concepts — Slicing — and practiced a program to count vowels and consonants in a string. 🧩 Topic Covered: Slicing in Python 💡 Learned how to extract parts of strings using the syntax: sequence[start:end:step] ✨ Highlights: Understood start, end & step parameters Practiced reversing strings using [::-1] Wrote a Python program to count vowels and consonants efficiently >> And along with these two new function i known: > lower(): used to make string in lowercase. > isalpha(): used to check the character value is alphabet not any other character. Every small step adds up — building my Python foundation stronger each day! 💪 #Python #PythonLearning #CodingJourney #CodeNewbie #LearnToCode #100DaysOfCode #PythonForBeginners #Programming #DeveloperCommunity #TechSkills #DailyLearning #PythonProgramming

Copying in Python doesn’t have to be tricky.   Shallow copy → new object, shared nested objects (changes reflect in original) Deep copy → fully independent object, nested objects copied recursively (original stays safe)   If you’re exploring Python tips and tricks, follow us for more. . . . . . . #techedin #python #codingtips #programming #devlife

🚀 Day 15 – Python Practice Problems Continuing my Python learning journey, today’s focus was on mastering List Comprehensions, Nested List Comprehensions, and Generators — three powerful tools that make Python code concise, efficient, and elegant. 🐍 🧩 Topics Covered: 1️⃣ List Comprehension Created a list of squares of numbers from 1 to 10. Generated a list of even numbers from 1 to 20 using a conditional expression. 2️⃣ Nested List Comprehension Built a 3x3 matrix using nested comprehensions. Modified it to display the square of each element. 3️⃣ Generators Implemented a generator function fibonacci(n) to yield the first n Fibonacci numbers efficiently. #100DaysOfCode #Python #LearningJourney #Day15

PYTHON JOURNEY - Day 13 / 50 !! TOPIC : While loop in python What if you want a piece of code to run again and again until a condition fails? That’s exactly what the while loop does --- Syntax while condition: # code to execute repeatedly The loop continues as long as the condition is True. --- Example: count = 1 while count <= 5: print("Count:", count) count += 1 Output: Count: 1 Count: 2 Count: 3 Count: 4 Count: 5 --- Be Careful! If you forget to update the variable inside the loop, you’ll end up with an infinite loop 😅 --- Quick Tip: Use while when the number of iterations isn’t fixed, like reading input until the user quits. --- #Python #WhileLoop #LearnPython #PythonBasics #Coding #Programming #LinkedInLearning

🚀 Day 15 – Python Practice Problems Continuing my Python learning journey, today’s focus was on mastering List Comprehensions, Nested List Comprehensions, and Generators — three powerful tools that make Python code concise, efficient, and elegant. 🐍 🧩 Topics Covered: 1️⃣ List Comprehension Created a list of squares of numbers from 1 to 10. Generated a list of even numbers from 1 to 20 using a conditional expression. 2️⃣ Nested List Comprehension Built a 3x3 matrix using nested comprehensions. Modified it to display the square of each element. 3️⃣ Generators Implemented a generator function fibonacci(n) to yield the first n Fibonacci numbers efficiently. #100DaysOfCode #Python #LearningJourney #Day15 #ListComprehension #Generators #CodingPractice #Programming #CodeNewbie #DeveloperJourney