Stop Writing "Ugly" Python Code! 🐍✨ PEP 8 (Python Enhancement Proposals 8) is the official style guide for Python, and it's the secret to writing code that is clean, professional, and most importantly readable. As Guido van Rossum (the creator of Python) famously said: "Code is read much more often than it is written." Following these rules doesn't just make your code look better; it makes collaboration easier for anyone reading your work. 🔗 Full guide: https://lnkd.in/dnMzjw9x #Python #Coding #CleanCode #ProgrammingTips #PEP8 #PythonDeveloper

🐍 Free Platforms to Host Your Python Projects If you’re learning Python, don’t stop at writing code — deploy it 🌍 These free platforms help you host Python apps, APIs, and web projects without spending money 💻⚡ Build → Deploy → Share → Get noticed 🚀 👉 Which platform have you used or want to try first? 🔗 https://lnkd.in/g5P5TNWx #Python #PythonDeveloper #PythonProjects #WebDevelopment #BackendDeveloper #FullStackDeveloper #DeployYourCode #BuildInPublic #FreeTools #CloudHosting #APIs #SoftwareDeveloper #TechCareers #Programming #LearnPython #CodingLife #GaneshM

Most Python developers think they understand encapsulation. They don’t, and honestly, Python intentionally breaks what most of us were taught in Java/C++. No private No protected No compiler enforcement Yet… senior engineers still build safe, maintainable, encapsulated systems in Python. The real problem isn’t “public attributes”. It’s shared mutable state, reference leaks, and uncontrolled mutation. In this article I break down: - Why _ and __ are not about privacy - How encapsulation actually fails in real Python code - Why @property, defensive copies, immutability, and __slots__ matter - The mental model seniors use: ownership > visibility If you’ve ever said “Python has weak encapsulation”, this one might change your mind. 👉 Read here: https://lnkd.in/gTpdybv5 #python #softwarearchitecture #backend #engineering

Most Python developers think they understand encapsulation. They don’t, and honestly, Python intentionally breaks what most of us were taught in Java/C++. No private No protected No compiler enforcement Yet… senior engineers still build safe, maintainable, encapsulated systems in Python. The real problem isn’t “public attributes”. It’s shared mutable state, reference leaks, and uncontrolled mutation. In this article I break down: - Why _ and __ are not about privacy - How encapsulation actually fails in real Python code - Why @property, defensive copies, immutability, and __slots__ matter - The mental model seniors use: ownership > visibility If you’ve ever said “Python has weak encapsulation”, this one might change your mind. 👉 Read here: https://lnkd.in/gYnqnefQ #python #softwarearchitecture #backend #engineering

Published a blog on medium ! Title : Common Mistakes Beginners Make with Python Lists, Dictionaries, and Sets In this article, I analyzed common conceptual errors developers make while working with core Python data structures, including: • Misusing lists instead of sets • Ignoring time complexity differences • Misunderstanding mutability • Improper dictionary key usage • Inefficient membership testing Understanding these distinctions is essential for writing scalable and optimized Python code. https://lnkd.in/gnx--PvY #Python #DataStructures #Programming #SoftwareDevelopment #LearningJourney Innomatics Research Labs

Learning how to convert data types in Python 3 is one of the most essential and frequently used skills in Python programming — data often arrives in one form (e.g., string from user input or file) but needs to be transformed into another (e.g., number...

C# vs. Python. These two programs do exactly the same thing: load test data from a JSON file and run each line in the data as a test (xUnit vs. Pytest). 51 lines in C# vs 15 lines in Python.

Program 13/20 | Python – Merging Two Lists Using a Function Implemented a Python function to merge two lists by appending elements of the second list into the first one. 🔹 Used user-defined functions 🔹 Demonstrated in-place list modification 🔹 Simple and efficient logic using loops Output: [3, 5, 2, 6, 56, 33] #Python #Programming #Coding #ProblemSolving #SoftwareDevelopment #PythonDeveloper #engineeringinkannada #algorithams365

TIA Tip 074 - TIA Scripting Python TIA Scripting Python is a Python module which allows you to remotely control TIA Portal using small Python scripts to automate tasks - powerful, flexible and designed to save you time! Download & update via TIA Package Manager: https://lnkd.in/etgqXExj Download from SiePortal: https://lnkd.in/d4nw4rWZ #EfficientEngineering #TaskAutomation #Python #TIAPortal #TIAtips #MisterAutomation

🐍 90 Days of Python – Day 31 Inheritance in Python | Building on Existing Code Today, I explored inheritance in Python, one of the most powerful OOP concepts that allows a class to acquire properties and behaviors from another class. Inheritance helps reduce code duplication and makes programs more organized and scalable. 🔹 Concepts covered today: ✅ Understanding base (parent) and derived (child) classes ✅ Using the super() function ✅ Method overriding ✅ Types of inheritance (single & multilevel) ✅ Code reusability through inheritance Why inheritance matters: Promotes reusability of existing code Makes applications easier to extend Simplifies maintenance of large systems Widely used in frameworks and real-world projects 📌 Day 31 completed — learning how to extend functionality without rewriting code. 👉 Do you prefer composition or inheritance when designing applications? #90DaysOfPython #PythonInheritance #LearningInPublic #PythonOOP #CleanCode #DeveloperJourney