Python Try Except Finally Example with User Input

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

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

🚀 Mastering loops in Python: Dive into the essentials of iteration and optimization! 🐍 Loops in Python are fundamental for repeating actions efficiently. They allow developers to iterate over elements in a sequence like lists, strings, or ranges. Understanding loops is crucial for building complex algorithms and processing large datasets. Here's a breakdown on how to use a 'for loop' for iterating over a list of numbers in Python: 1. Define the list of numbers 2. Utilize the 'for' keyword to iterate through the list 3. Perform actions within the loop block 👨💻 Pro tip: Use list comprehensions for concise loop expressions! 🚫 Common mistake: Forgetting to update the loop variable, leading to an infinite loop. What's your favorite use case for loops in Python? Share your thoughts below! 🤔 🌐 View my full portfolio and more dev resources at tharindunipun.lk #PythonProgramming #CodeOptimization #LearningPython #DeveloperTips #PythonLoops #TechSkills #CodingCommunity #AlgorithmDesign

That simple x = 10 in Python? It’s doing much more than storing the number 10. Under the hood, a Python integer is a full object (implemented in C) that includes: -- The actual value (stored as a dynamic array of digits) -- Type information -- A size field -- A reference count for memory management Unlike C, where an integer is just fixed-size raw bytes, Python stores a reference to an object. This is why a Python list of 1000 integers is actually 1000 separate objects in memory, each with its own overhead. And this is exactly where NumPy shines: -- Fixed-type arrays -- Contiguous memory -- No per-object overhead More flexibility = more memory. That’s the trade-off Python makes for you silently, every single day. #Python #SoftwareEngineering #BackendDevelopment #NumPy #PythonInternals

Mastering Substrings in Python can simplify your coding By the end of this article, you'll be able to perform and dry run of substrings in Python and understand its complexity and optimization techniques. You'll learn how to use various Python libraries and modules to make the process efficient and fast. PythonForFreshers LearnPythonProgramming SubstringOperations ITFreshers PythonCodingBasics TechLab Read the full article 👉 https://lnkd.in/d2irTf5n #PythonForFreshers #LearnPythonProgramming #SubstringOperations #ITFreshers #PythonCodingBasics #TechLab Code. Learn. Build. — TechLab by Neeraj

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

Built a simple Dice Roller using Python. As part of practicing Python basics, I created a small program that simulates rolling a dice. This program: • Generates a random number between 1 and 6 • Allows the user to roll multiple times • Uses loops and user input for interaction Through this project, I practiced: • Random module • Loops • Conditional statements • Handling user input It’s a simple project, but it helped me understand how randomness and control flow work together. Still learning and building step by step. #Python #BeginnerProject #DiceRoller #LearningInPublic #CodingJourney

Unlock the Power of Strings in Python As a beginner Python programmer, understanding strings is essential to build reliable and efficient code. You will learn the concepts of strings in Python, including basic operations like concatenation and indexing. Read the full article 👉 https://lnkd.in/dq9fGA94 #LearnPython #PythonProgramming #StringsInPython #ITFreshers #PythonForBeginners #TechLab Code. Learn. Build. — TechLab by Neeraj

Hot take: Python is fast enough for most things. For the other things? 🦀 Rust. Just published a guide on using PyO3 v0.28 + maturin to drop Rust into your Python stack — the same approach Polars, Ruff, and Pydantic v2 use. One function. Native speed. Still pip install-able. 👉 https://lnkd.in/g794MZxa #Rust #Python #PyO3 #Engineering #Performance

📌 Encapsulation in Python Today I practiced Encapsulation in Python using a simple BankAccount example. Encapsulation means binding data and methods together inside a class. It helps organize code and control how data is accessed or modified. In this example, the class manages the account balance and provides methods to deposit money and check the balance. Step by step, strengthening my understanding of Python OOPS concepts. #Day11 #Python #OOPS #Encapsulation #LearningPython #CodingJourney