Python ipaddress Module for IPv4 and IPv6 Operations

🐍 Python Term of the Day: bdb (Python Standard Library) A Python standard library module that provides a generic debugger framework for setting breakpoints, stepping through code, and managing trace events. https://lnkd.in/gy-5CM4K

🐍 Python Mini Project Update – Improved Calculator As part of my Python practice, I enhanced my basic calculator program by adding better logic handling and improvements. Key updates in this version: • Used multiple input options (add, +, addition) for better flexibility • Implemented proper conditional checks using "in" operator • Added division by zero handling to avoid runtime errors • Improved overall code structure and readability This update helped me understand how small logical mistakes can affect program behavior and how to fix them effectively. Instead of just writing code, I’m focusing on improving, debugging, and making it more user-friendly step by step. Next goal: Adding loops and functions to make this a fully interactive calculator. Learning → Practicing → Improving 🚀 #Python #LearningJourney #MiniProject #CodingPractice #ProblemSolving #Consistency

Reverse a number in Python n = 1234 Expected reverse numbers = 4321 Python code n = 1234 rev = 0 while n > 0: digit = n % 10 rev = rev * 10 + digit n = n // 10 print(rev)

🚀 Calculating TF-IDF Scores with Python (System Design) This Python code calculates TF-IDF scores for a set of documents. It uses the `TfidfVectorizer` from the `sklearn` library to create a TF-IDF matrix. The matrix represents the TF-IDF scores for each term in each document. This example demonstrates how to use a library to efficiently compute TF-IDF, a crucial component in ranking search results. Understanding TF-IDF is critical for optimizing search relevance in system design. #SystemDesign #Architecture #Scalability #DistributedSystems #professional #career #development

Day 19 of My 30-Day Python Challenge at GQT (Global Quest Technologies) Today I explored advanced concepts in Python functions and variable scope. 🔹 Default values for function arguments 🔹 Variable-length arguments: *args and **kwargs 🔹 Understanding Functions, Modules, and Libraries 🔹 Local vs Global variables 🔹 Demonstration of the global keyword 🔹 Accessing global variables using the globals() function 📌 Sharing an infographic summarizing these concepts with practical code examples. 💡 “Mastering scope and modularity is essential for writing scalable Python programs.”

Your Python app is one bad API response away from a production crash Pydantic fixes that in 5 lines. #Pydantic

How to Add a Row to a DataFrame in Python Master the surprising truth about DataFrame row additions - from basic loc[] tricks to advanced concat() techniques. Python experts hate this approach. https://lnkd.in/dmyXyETX

The Aethelgard Python SDK is a zero-dependency, mathematically verifiable primitive. It utilizes only the Python Standard Library, eliminating third-party supply chain risks entirely...

Python is amazing, but it has one major flaw: The Global Interpreter Lock (GIL). 🐍 Because of the GIL, standard Python threads can't execute Python bytecodes in parallel on multiple CPU cores. For I/O-bound tasks, threading is great. But for CPU-bound tasks? You need to use Multiprocessing. Know your tools, but more importantly, know their limitations. #Python #Programming #BackendDevelopment #Architecture

🐍📺 Caching is an essential optimization technique. In this video course, you'll learn how to use Python's lru_cache decorator to cache the results of your functions using the LRU cache strategy #python