Improved data processing with numpy.where() in Python

I have been asked about moving notebooks to production countless times. This is why scripting is a better place to start for end-to-end development education.

🚀 Set in Python - A Set in Python is a collection data type that is unordered, unindexed, and contains unique elements. It is mainly used when you want to store non-duplicate items and perform mathematical set operations like union, intersection, and difference. 🧩 Key Features: ▪️ Unordered: Elements have no defined order. ▪️ Mutable: You can add or remove items after creation. ▪️ No duplicates: Automatically removes repeated elements. ▪️ Supports set operations like union(), intersection(), difference(), etc. 💡 When to Use: 🔸 You need unique values. 🔸 You want to perform fast membership testing. 🔸 You need set-based operations (like finding common elements). #Python #PythonLearning #PythonBasics #DataStructures #Coding #LearnPython #SetInPython

💡 Struggling to understand how Async in Python is different from threading or multiprocessing? Async isn’t about raw speed - it is about smarter waiting. When used right, it makes your apps more responsive, scalable, and efficient. Start coding smarter, not harder—your career in data, AI, or automation begins here. 👉 Interest? Here is our Python Masterclass : https://lnkd.in/eMPRNGms 📲 Join the free python newsletter: https://lnkd.in/eWG4WyPZ #Pythoncourse #programming #pythonprogramming #pythoncourse #pythondev #CodingJourney #Zerotoknowing

If you have ever worked with Python, you know how one language can open doors to many different fields, from artificial intelligence and automation to web applications and analytics. I created this visual to show how flexible Python can be when paired with the right tools. But here is the interesting part 👇 ➡️ What is your favorite Python library or framework? ➡️ What is something impressive you have built or would like to build using Python? Let us share ideas and inspire new projects in the comments. #Python #Developers #DataScience #AI #MachineLearning #WebDevelopment #Programming #TechCommunity #CodingLife

Python: The language that truly embodies the phrase "batteries included." 🐍 It's not just elegant and readable; it’s the default choice for the world's most exciting fields: Data Science, Machine Learning, Web Development, and Automation. From a simple script to power the backbone of a major service like Instagram, Python's versatility is unmatched. If you value rapid development, a massive ecosystem (think NumPy, Pandas, flask and Django), and community support, you know Python is a modern essential. What was the first impressive thing you built with Python? Share your 'Hello World' moment! 👇 #Python #Programming #DataScience #MachineLearning #WebDevelopment #Coding

Tomorrow (Oct 7), Python Kills the GIL If you’ve ever hit a performance wall in Python because of the Global Interpreter Lock (GIL)… you’re going to want to hear this. Starting with Python 3.14, the long-awaited free-threaded mode (PEP 703) is finally ready for prime time. This isn’t just an experiment anymore, it’s real, stable, and fast. What’s happening: Python 3.14 completes the “no-GIL” implementation that began in 3.13. It allows true multi-threading, meaning Python threads can finally run in parallel on multiple CPU cores, without taking turns waiting for the GIL. Why it matters for you: Data pipelines? Faster. Training loops? Scalable. Async APIs + background threads? Smoother. And the entire Python ecosystem (NumPy, PyTorch, etc.) will evolve around this shift. #python #python3.14 #GIL #GenAI #agent #datapipeline #ml

⚙️ Day 2 – Python for Data Science: Operators & Expressions Continuing my #DataScience journey, today I explored how Python performs calculations and logical operations using operators. 🧮 💡 What I learned: Operators help Python process data, perform math, and make comparisons — essential for data analysis and condition checking. 🔹 Types of Operators: ➕ Arithmetic → +, -, *, /, %, ** ⚖️ Comparison → ==, !=, <, >, <=, >= 🧩 Logical → and, or, not 🧱 Assignment → =, +=, -=, *=, /= ✨ Takeaway: Operators are the tools that help Python “think” — combining logic and math to make decisions in your programs. #Python #LearningEveryday #DataScienceJourney #100DaysOfCode

You don’t need 500 lines of code to prove your skill. In data engineering, the real challenge is making something clean, readable, and reproducible. The code you’re proudest of isn’t the longest — it’s the one someone else can understand a year later and say: “Ah, that’s smart.” #CleanCode #Python #DataEngineering #SoftwareCraftsmanship #TechBestPractices

As someone who sometimes builds with Python, I’m really excited about its new free threaded mode. According to some benchmarks, performance can increase by up to 5 times, which is impressive. In some cases this multi threaded mode even outperforms the traditional multi process approach. Python keeps proving it’s not just relevant, it’s everywhere, powering systems, research, and tools across industries. I’m looking forward to seeing how teams use this new power to drive innovation and efficiency. What’s your favorite new Python feature? #Python #SoftwareEngineering #AI #Automation #DevCommunity #TechInnovation #Programming #Python314 #OpenSource