Building wxPython GUI with Python

The runtime offers new features for Python: an experimental async API and access to many native Python libraries like NumPy.

The runtime offers new features for Python: an experimental async API and access to many native Python libraries like NumPy.

Yes, Python compiles code! Many people think Python is only interpreted, but internally Python first compiles your source code into bytecode and creates a .pyc file (compiled/frozen binaries). These files are stored inside the __pycache__ folder and are executed by the Python Virtual Machine (PVM). In this article, I’ve explained: ✔️ How Python converts code into bytecode ✔️ What .pyc files are ✔️ How the Python Virtual Machine works ✔️ CPython and other Python implementations If you want to understand Python’s internal working in a simple way, check it out 👇 https://lnkd.in/g-438rDB

Python Starters Day 7 Foundation Nugget FUNCTIONS REDUCE EFFORT Functions package instructions. def greet():   print("Welcome!") greet() Now the behaviour can be called anytime. Large programs are just many small functions working together. A good programmer organises actions into reusable steps. Follow the Python 🐍 Starters Hub: WhatsApp: https://lnkd.in/dbjAFv52 LinkedIn: https://lnkd.in/dkJE3tZq

🐍 Python Term of the Day: higher-order function (Python Glossary) A function that either takes one or more functions as arguments or returns a function as its result. https://lnkd.in/dGJvANsK

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

Built a simple Python CLI To-Do List application that allows adding, viewing, and removing tasks with file-based persistence. This project helped me practice Python lists, file handling, and basic CLI interaction. GitHub: https://lnkd.in/ggigJvp9

🐍 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

🐍 Python Term of the Day: conditionals (Python Best Practices) Guidelines and best practices for writing reliable conditionals and making decisions in your Python code. https://lnkd.in/dMd-9ugR

🚀 Understanding Prime Number Logic in Python In this exercise, I implemented a simple program to check whether a number is prime using Python. 🔎 Approach Used: I applied the trial division method to determine if a number has any factors other than 1 and itself. The logic checks divisibility from 2 up to n-1 using a loop. 💡 Key Concepts Used: Variables to store the number and a boolean flag for loop for iteration range() function for generating possible divisors Modulus operator % to check divisibility Conditional statements (if) break statement for performance optimization 📌 Key Insights: Used a flag variable (is_prime) to track prime status. The modulus operator helps determine whether a number is divisible. The break statement improves efficiency by stopping the loop early once a factor is found. This approach has a time complexity of O(n) and can be optimized to O(√n). ✨ Even though this looks like a basic problem, it strengthens understanding of loops, conditionals, and logical thinking — which are fundamental in coding interviews and real-world problem solving. #Python #Coding #Programming #DataStructures #InterviewPreparation #LearningJourney code :-