Python Built-in Function print() Displays Text

What Really Happens When You Pass a Variable to a Function in Python? In Python, variables don’t hold values — they hold references to objects. When you pass a variable to a function: 👉 Python passes the reference, not a copy of the object. This model is often called “pass-by-object-reference” (or call by sharing). Why this confuses people? Immutable objects (int, str, tuple): Reassignment inside a function creates a new object → original stays unchanged. Mutable objects (list, dict, set): In-place modification changes the same object → caller sees the change. So it feels like: Immutable → pass by value Mutable → pass by reference But that’s just an illusion. The real rule Python always passes a reference to an object. What you do with that reference determines the outcome. #Python #ProgrammingConcepts #PythonInternals #Mutable #Immutable #CleanCode

🐍❓ Python Lambda Functions [Quiz] — Python lambdas are little, anonymous functions, subject to a more restrictive but more concise syntax than regular Python functions. Test your understanding on how you can use them better. #python

Simple Logic, Powerful Results: Building a Palindrome Checker in Python 🐍 I recently worked on a classic logic puzzle: identifying palindromes—words or phrases that read the same forward and backward. While the concept is simple, it’s a great exercise for practicing string manipulation and clean conditional logic in Python. It's often the foundational projects like these that sharpen a developer's problem-solving mindset! Check out the code here: [ https://lnkd.in/gZs4RciQ ] #Python #Coding #SoftwareDevelopment #Programming #PythonProjects #CodingLogic

#Day4 was about understanding how Python communicates information clearly. Today, I learned the difference between using f-strings and regular strings in Python. With f-strings, variables inside {} are evaluated and replaced with their actual values. Without the f, Python treats everything as plain text — no substitution happens. This small detail makes a big difference, especially for: -Debugging -Logging -Writing clean, readable output I also learned about conditionals (if, elif, else) and how programs make decisions based on logic and conditions. It was a good reminder that clear logic is just as important as correct syntax. Day by day, I’m building a stronger foundation bit by bit. On to Day 5 🚀 #365DaysOfCode #Day4 #Python #LearningInPublic #Conditionals #ProgrammingFundamentals #DataEngineeringJourney #Consistency

🐍 Day 30 — Common Python Errors Day 30 of #python365ai 🐞 Some errors you’ll see often: SyntaxError NameError TypeError ValueError Example: print(x) # NameError if x is not defined 📌 Why this matters: Understanding error messages saves hours of debugging. 📘 Practice task: Intentionally create a small error and read Python’s message carefully. #python365ai #Debugging #PythonErrors #LearnCoding

🐍📺 Create Callable Instances With Python's .call() [Video] Learn Python callables: what "callable" means, how to use dunder call, and how to build callable objects with step-by-step examples https://lnkd.in/dcPrVFfS

Create Callable Instances With Python's .__call__() From https://lnkd.in/eyC4kxEy Learn Python callables: what "callable" means, how to use dunder call, and how to build callable objects with step-by-step examples.

Understanding Variable Scope in Python (LEGB Rule) Explored how Python resolves variable names using the LEGB hierarchy: Local (L): Variables defined inside a function Enclosing (E): Variables in the scope of enclosing (nested) functions Global (G): Variables declared at the module level Built-in (B): Python’s built-in identifiers like len(), type(), print() Practiced how nested functions access enclosing variables, why outer scopes cannot access inner variables, and how the nonlocal keyword enables modification of enclosing-scope variables. Also worked with the global keyword to understand how global variables can be accessed and modified inside functions and why it should be used carefully. #Python #ProgrammingFundamentals #LEGB #SoftwareEngineering #LearningInPublic #DataAnalytics

Clean code starts with understanding the basics.  Let's refresh our concept of numbers, logical operator and booleans in python. Give it a read .... https://lnkd.in/gtn-bKbP

The Secret Life of Python: The Lazy Baker By Aaron Rose Why your Python code runs out of memory, and how yield fixes it. The library smelled faintly of ozone and burning plastic. Timothy was sitting in front of his laptop, but he wasn't typing. He was staring blankly at a spinning cursor. The fan was screaming. "It crashed again," Timothy groaned. Mar... https://lnkd.in/ewC8Cj_n