Jens Bruno Wittek’s Post

🚀 New Article Published: Inheritance in Python When we write programs, we often notice something interesting — many objects share common features. Instead of rewriting the same code again and again, Inheritance helps us reuse code, build cleaner designs, and model real-world relationships more naturally. In my latest article from the “Mastering OOP in Python” series, I’ve explained: • What inheritance really means (in simple terms) • Parent vs Child classes • All types of inheritance in Python • Method overriding (and why it’s different from overloading) • Common misconceptions beginners face This article is written especially for Python learners who want clarity, not confusion. 📘 Read here: 🔗 https://lnkd.in/gVNNtmi4 If you’re learning OOP in Python, this will strengthen your foundation before moving to polymorphism. Would love to hear your thoughts or feedback 😊 #Python #OOP #Inheritance #PythonForBeginners #LearningInPublic #ObjectOrientedProgramming #Hashnode #TechWriting #WomenInTech

🔢 Most beginners get formulas wrong in Python. Not the logic — the syntax. One missing * or () and your area, speed, or displacement is completely wrong. I wrote a step-by-step guide so you can turn any math formula into correct Python in minutes: ✅ Problem-solving method that works for any formula ✅ When to use int() vs float() (and why it matters) ✅ Parentheses rules that save you from wrong answers ✅ Triangle area, trapezoid, displacement — with full code ✅ 10 practice exercises + solutions ✅ Formula → Python cheat sheet ~31 min read. No fluff — just the patterns you’ll reuse everywhere. https://lnkd.in/gbhj9cAC #Python #Programming #Coding #Beginners #LearnToCode #ProblemSolving #Tech #SoftwareDevelopment #CodingTips

🚀 Day 6 | Flow Control Statements in Python This is the point where Python stops being just syntax and starts becoming logic. In today’s notebook, I deeply worked on Flow Control (Control Structures) — the backbone of decision-making and iteration in Python programs. What I covered today: if, if-else, if-elif-else with real decision-based programs Special cases and condition evaluation rules match-case (Python 3.10+) for clean multi-way decision making for and while loops (including else with loops) Transfer statements: break, continue, pass Nested loops and their use cases Hands-on programs: biggest of numbers digit-to-word logic prime number check perfect number check string reversal using loops What stood out to me is how small condition mistakes completely change program flow, and how important it is to understand execution order, not just syntax. 🙏 Grateful to my mentor Nallagoni Omkar Sir for emphasizing clarity, edge cases, and real-world logic while learning these fundamentals. 📌 Continuing my learning-in-public journey — building Python foundations the right way. 👉 Next up: Functions 🚀 #Python #CorePython #FlowControl #ConditionalStatements #Loops #LearningInPublic #StudentOfDataScience #ProgrammingFundamentals #NeverStopLearning

Just published my one more latest Python guide I spent my first month of Python copying list examples that made zero sense in real projects. So I wrote the guide I wish I'd had – Mastering Python Lists: 10 Real-World Examples, actual situations where lists matter: → Processing messy spreadsheet data → Building undo buttons → Handling shopping carts → Pagination that actually works If you're learning Python, save yourself the headache I had a solution for it. 📖 https://lnkd.in/gbVscJnZ #Python #Programming #DataStructures #SoftwareDevelopment #Coding #TechBlog #LearnToCode #PythonProgramming #CleanCode #InnomaticsResearchLabs

🔐 Difference between process_data() vs _process_data() vs __process_data() in Python In Python classes, small naming changes show how a method should be used: • process_data() → Public method, safe to call from anywhere. • _process_data() → Meant for internal use inside the class (still accessible, but by convention). • __process_data() → Strongly private using name-mangling, not directly accessible from outside the class. Simple naming… clearer intention… more professional code 🚀 #Python #Programming #CodingTips #SoftwareDevelopment

Python Data Types – The Foundation of Every Program 🐍 In today’s post, I covered the 4 basic data types every beginner must know: 🔹 int 🔹 float 🔹 str 🔹 bool These may look simple, but every Python program you write depends on them 💡 Now let’s test your understanding 👇 What will be the output of this? print(type(99.0)) A) int B) float C) str D) bool Drop your answer below ⬇️ Let’s see who’s paying attention 😌🔥 #Python #Programming #CodingJourney #LearnToCode #WomenInTech #TechBasics

A brief history of Python programming language • 1989 – Guido van Rossum starts Python as a hobby project • 1991 – Python 0.9.0 released (functions, exceptions, core data types) • 2000 – Python 2.0 introduces list comprehensions & garbage collection • 2008 – Python 3.0 released (clean break, better design) • 2010s – Python explodes in data science, web, automation & AI • Today – One of the most used languages in the world Why Python won: ✅ Simple syntax ✅ Huge ecosystem ✅ Strong community Simple language. Massive impact.

Python Clarity Series – Episode 9 Topic: Dictionary get() vs Direct Access 📌 Why does this code crash sometimes? d = {"a": 10} print(d["b"]) Error ❌ KeyError Better way: print(d.get("b")) Output: None 👉 d["key"] → Throws error if key missing 👉 d.get("key") → Returns None (safe access) 💡 Smart Tip: Use .get() when key might not exist. In real-world coding, this prevents crashes. This is beyond exam — this is practical Python. Have you used .get() before? #PythonTips #CodingClarity #FutureProgrammers

🐍 Week 9 of Refining my Python Skills 🐍 This week, I focused on the fundamentals of Python classes and Object-Oriented Programming (OOP). When I first learned to code, I used Functional Programming (FP) for most of my tasks. The scripts I made were straightforward and didn't require complex object interactions. As my projects became more advanced, I started to see where OOP would be useful. Topics I worked through:   • Initializing classes using __𝗶𝗻𝗶𝘁__().  • Methods and attributes, and the difference between instances and classes.  • The special (dunder) methods that Python uses, such as __𝘀𝘁𝗿__() and __𝗮𝗱𝗱__(). Where are you in your Python journey? #Python #CodingJourney #LearningInPublic

Installed the latest Python version today and learned more than I expected. What looked like a simple upgrade turned into a real debugging session: • Removed older versions installed via Scoop • Fixed PATH conflicts • Resolved broken pip launcher errors • Cleaned up legacy Python entries • Reconfigured environment variables properly At one point, python and py were pointing to different versions. Then pip started throwing launcher errors referencing an uninstalled Python312 path. Instead of reinstalling everything blindly, I traced it using: where python where pip python -m pip --version Step by step, I fixed the environment and finally got: Python 3.14.3 pip 26.0.1 Working cleanly and correctly. Small reminder: Being a developer is not just about writing code. It is about understanding how your tools actually work under the hood. Today was not about Python. It was about problem solving. #Python #DeveloperJourney #Debugging #Learning #Programming #ProgrammingTools