Understanding Python's id() Function and Object Identity

🚀 Python Learning Journey – Understanding Functions 🐍 Today, I explored the concept of Function Creation in Python. 🔹 A function is defined using the def keyword. 🔹 It can take parameters as input. 🔹 The function body contains the logic to perform a task. 🔹 The return statement sends the result back to the function call. In the example, a function is created to add two numbers: ✔ It takes num1 and num2 as parameters ✔ Performs addition inside the function body ✔ Returns the final result ✔ The function is then called and the result is printed Understanding functions helps in writing reusable, clean, and modular code. Step by step, building strong Python fundamentals 💻✨ #Python #PythonLearning #CodingJourney #Functions #Programming #100DaysOfCode

Day 71 – Map Function in Python: Day 71 focused on learning the map() function in Python, which is used to apply a function to every item in an iterable like a list. I practiced using map() along with lambda functions to square numbers in a list and to create greeting messages for a list of names. This exercise helped me understand how map() can process data efficiently and reduce the need for traditional loops, making Python code more concise and functional. GitHub Code: https://lnkd.in/gxBQmHAs #Day71 #100DaysOfCode #Python #MapFunction #Lambda #LearningPython #CodingJourney #DailyCoding #Consistency

Day 19 of my 20 Day Linkedin Challenge I recently learned about loops in Python. Here’s the simplest way to understand them: A loop tells the computer to repeat something. Instead of writing the same instruction multiple times you write it once and let the loop handle the repetition. For example: If you want to print numbers from 1 to 10, You don’t write 10 separate lines. You use a loop. This matters because computers are great at repetition. Loops allow you to: - save time - reduce errors - handle large tasks efficiently It’s one of those concepts that seems small but it’s actually very powerful. #AfricaAgility #ArtificialIntelligence #Python #MachineLearning #GIT20DayChallenge

Day 69 – Try, Except, Finally Example in Python: Day 69 focused on practicing a Try–Except–Finally example in Python using user input. In this program, I asked the user to enter a number and attempted to divide 100 by that number. I handled possible errors such as invalid input using ValueError and division by zero using ZeroDivisionError. I also used a finally block to ensure a message is displayed when the program execution completes. This exercise helped me understand how to safely handle user input errors and make Python programs more reliable. GitHub Code: https://lnkd.in/g__F-gup #Day69 #100DaysOfCode #Python #ExceptionHandling #TryExceptFinally #LearningPython #CodingJourney #DailyCoding #Consistency

Return Uniqueness in Python with Ease As a Python programmer, returning unique values is crucial for effective data handling In this article, you'll learn how to return unique values in Python, covering various methods and techniques to help you master this skill. From using built-in functions to implementing custom solutions, we'll dive into the details python Read the full article 👉 https://lnkd.in/dN8z7q5u #pythonprogramming #pythonfresher #uniquevalues #datahandling #TechLab Code. Learn. Build. — TechLab by Neeraj

🤜 Python Challenge #2 – Answer Revealed! b = a does not create a new list. It simply makes b reference the same list object in memory as a. When we do: a += [4] Python modifies the list in-place instead of creating a new one. Since both a and b point to the same list, the change appears in both variables. #Python #PythonLearning #CodingChallenge #100DaysOfCode #LearnPython

Codebreaker 🧑💻 In this Python project, kids will analyse a graph to crack the code, whilst learning about lists and Python functions. This project is part of our More Python path, which is perfect for learners who already have a foundation knowledge of Python. Find out more here: rpf.io/more-python-blog #LearnPython #CodingForKids #CodingProjects

Unlock the Power of Sums with Python Tuples Discover the different methods to sum tuple elements and learn how to apply them in real-world scenarios. Python SummationMethods ITFreshers Read the full article 👉 https://lnkd.in/dHWhuU-K #PythonProgramming #Tuples #SummationMethods #ITFreshers #PerformanceOptimization #TechLab Code. Learn. Build. — TechLab by Neeraj

Day 70 – Lambda Functions in Python: Day 70 focused on learning Lambda functions in Python, which are small anonymous functions written in a single line. I practiced creating simple lambda functions to calculate the square of a number, add two numbers, and return a greeting message. This exercise helped me understand how lambda functions make code shorter and more readable when defining small, quick operations. Working with lambda functions improved my understanding of functional programming concepts and how Python allows concise function definitions for simple tasks. GitHub Code: https://lnkd.in/ghqQ-bEm #Day70 #100DaysOfCode #Python #LambdaFunction #LearningPython #CodingJourney #DailyCoding #Consistency

Searching through large datasets doesn’t have to be slow. This guide explains how binary search works in Python, how to implement it, and where it’s most useful. https://lnkd.in/gFT4BuYp