Florin Lungu’s Post

Bala Priya C walks beginners through recursion in Python, from the basics to real-world use cases like nested data and tree traversal. If you are learning Python and want to understand recursion clearly, this is a great starting point. Read it here:

🚀 Excited to share my latest learning milestone in Python! Recently, I explored one of the most important concepts in Python: Mutable vs Immutable objects — and the idea that everything in Python is an object. Here are a few key takeaways: - Every variable in Python is an object with its own identity (id) and type - Mutable objects (like lists, dictionaries) can change without changing their memory address - Immutable objects (like strings and integers) create new objects when modified - Function arguments behave differently depending on mutability I wrote a detailed blog with examples : https://lnkd.in/dqejKiHU #Python #Programming #Backend #SoftwareDevelopment #Learning

🐍 Learning Python step by step! In this lesson, discover how Python Tuples work, when to use them, and how they are different from lists. Perfect guide for beginners. #Python #LearnPython #PythonTuples #PythonForBeginners #PythonCourse #Coding #Programming #DevelopOurself #PythonTutorial #CodeLearning

🐍📰 Why Are Membership Tests So Fast for range() in Python? In Python, range() is commonly used in for loops. However, ranges have some other use cases too. In this tutorial, you'll explore why performing a membership test on a range is so fast. #python

🐍📰 Python "while" Loops (Indefinite Iteration) In this tutorial, you'll learn about indefinite iteration using the Python while loop. You’ll be able to construct basic and complex while loops, interrupt loop execution, and more. #python

✨ Python Learning Update (ft. me vs. code) This week’s Python practice has taught me two things: I actually can code. Python is far friendlier than it looks. Highlights from my mini coding adventure: Dictionaries: Discovered .update() and .setdefault() — basically the “polite” and “politer” ways to add data. Comprehensions: Turns out you can write elegant one‑liners without breaking the computer (or your spirit). Tuples: Found out these are the “don’t even think about editing me” data types. APIs: Simple version — the messengers that help systems talk to each other. Big takeaway: Small, consistent practice really does make the scary parts less scary. And yes, I’m celebrating every tiny win.

🐍📰 Working With Files in Python In this tutorial, you'll learn how you can work with files by using built-in modules to perform practical tasks that involve groups of files, like renaming them, moving them, getting their metadata,and more. #python

List comprehensions are one of those Python features that look intimidating at first and then become second nature fast. New tutorial on PythonCodeCrack walks through everything from the ground up: — The three-part syntax and what each part does — How a comprehension maps to an equivalent for loop — Adding filter conditions — Using enumerate() and zip() as source iterables — Ternary expressions vs. filter conditions (a common point of confusion) — When not to use a comprehension — How CPython executes them differently from for loops, including what changed in Python 3.12 — Dict and set comprehensions Includes an interactive syntax visualizer, step tracer, spot-the-bug challenges, quizzes, and a final exam with a certificate of completion. https://lnkd.in/g6VisquH #python #FreeCertificationCourse #tutorials

I was memorizing Python keywords… and realized something important. Most beginners try to remember everything at once but Python doesn’t work like that. It works on logic, not memorization. What I learned: Python has reserved keywords words you can’t change because they already have a meaning in the language. Examples: if, else, elif → decision making for, while → loops def, return → functions True, False, None → core values and, or, not → logic 💡 Instead of memorizing 30+ keywords… I started grouping them like this: 🔹 Decision → if, else, elif 🔹 Loops → for, while, break, continue 🔹 Functions → def, return 🔹 Logic → and, or, not 🔹 Structure → class, try, except And suddenly… everything made sense. Big realization: Programming is not about remembering keywords. It’s about understanding how they work together. If you’re learning Python right now: Don’t memorize. Connect concepts. That’s when coding becomes easy. #Python #Coding #LearnToCode #DataAnalytics #Programming