☕ Mini Python Project: Python Mini Cafe 🍔🍕 Built a small Python project to simulate a cafe ordering system! ✅ What I used: Dictionaries, Functions & Recursion ✅ Features: Dynamic menu display Take multiple orders Calculate total bill Handle unavailable items gracefully 💡 Skills demonstrated: Python basics, user input handling, dictionaries, functions, recursion. A fun way to see Python applied to real-life scenarios! I’d love to hear your thoughts or suggestions for improvement! #Python #PythonProjects #Coding #Programming #LearningByDoing #Recursion #Functions #Dictionary #Projects
Built a Python Cafe Ordering System with Dictionaries, Functions, and Recursion
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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
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**🚀 Day 45 of my #50DaysOfCode Challenge** 📘 **Topic:** Python Objects 🔍 **What I Learned:** In Python, everything is an **object**. Anything that can be assigned to a variable—like strings, integers, floats, or lists—is treated as an object. For example: * `"A"` → String object * `1.25` → Float object * `[1, 2, 3]` → List object Objects make Python a powerful and flexible object-oriented language. 🧠 **Key takeaway:** Every value in Python is an object, no matter how simple it looks! #Python #Learning #CodingChallenge #100DaysOfCode #Programming #NxtWave
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Python range() Function The range() function in Python is used to generate a sequence of numbers — perfect for controlling loops! 📘 Syntax: range(start, stop, step) start → where the sequence begins (default is 0) stop → where the sequence ends (exclusive) step → the interval between numbers (default is 1) 📍The range() function is simple but powerful — especially useful for iterating through datasets or automating tasks in data analytics! 📊 #Python #Coding #LearningPython #DataAnalytics #Programming
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Python Tip: Swap Two Variables in One Line! Did you know you can swap the values of two variables in Python without using a temporary variable? Just a single line does the trick: python a, b = 5, 10 a, b = b, a Now, a becomes 10 and b becomes 5! Quick, clean, and Pythonic—perfect for making your code more readable and efficient. #Python #CodingTips #Programming #LearnPython #CodeNewbies
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#python #webdeveloper #coding #learning #pythonprogramming DAY 3: Learning Python Question: When the user for a string and print it in reverse format constants Answer : n= input("Enter a string: ") reverse_text = n[::-1] print("Reverse string:", reverse_text) O/P :
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Today I explored two important Python concepts-casting and slicing! 💠 Casting helps to convert one data to another. For example: x = 10 # integer y = float(x) # converted to float print(y) # Output: 10.0 💠 Slicing allows us to access specific parts of strings, lists, or tuples For example: text: "Python" print(text[0:3]) #output: Pyt print(text[-3:1]) #output: hon These small concepts are so powerful- they make data handling and manipulation much easier..... 🧡 #Python #LearningJourney #CareerGrowth #Programming #Beginner #Datatypes
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Elegant Fibonacci Series with Recursion in Python Want to generate Fibonacci numbers with just a few lines of code? Python's recursion makes it super simple and readable! python def fib(n): return n if n <= 1 else fib(n-1) + fib(n-2) This function elegantly captures the logic of the Fibonacci sequence using recursion—showcasing the beauty and power of Python for mathematical calculations. Keep exploring creative ways to solve problems with Python! #Python #Recursion #CodingTips #Fibonacci #Programming #LearnPython #CodeNewbies
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🚀 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
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Hello Connections 👋 🌟🚀Today, I explored some interesting 🌱 Python problem-solving concepts, including: ✅Checking prime numbers 🔹A Prime Number is a number that has only two factors: 1 and itself. ✅Pyramid Number Pattern 🔹Patterns help in understanding loops and iteration control. ✅Finding and handling duplicate values in data 🔹Identifying the records or values in a dataset that appear more than once. ✅Print Repeated Words in a Sentence 🔹Useful in string handling and data processing. 🚀 Excited to keep learning and solving more problems! #ManojKumarReddyParlapalliSir #10000Coders🐍#Python #ProblemSolving #CodingPractice #LearningJourney #Programming #DeveloperGrowth
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