Launch: Eric Chat, Eric Transformer & Eric Search Open-Source Packages

Understanding a data structure like linked list in Python is a lot easier when you can just see it. Linked_List demo: https://lnkd.in/ek658S5U 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵 visualizes Python objects and references, so data structures stop being abstract and become something you can debug with ease. No more endless print-debugging. No more stepping through 50 frames just to find one sneaky reference/aliasing mistake.

CPython Unveils Chained Assignment Mechanics in Python Bytecode Execution 📌 Chained assignments in Python don’t create separate objects-they share the same underlying instance, a bytecode-level quirk that can silently break your code. A deep dive into CPython’s execution reveals how a = b = [] uses COPY and STORE_FAST to assign the same list to multiple variables, exposing a common pitfall for developers working with mutable data. 🔗 Read more: https://lnkd.in/dUfiAJ44 #Cpython #Pythonbytecode #Chainedassignment #Interpreterexecution #Variablebinding

Let's review 300 alignments' intersection point in 10 seconds with the new 👉 Intersections Checker 👈 It’s time to add Python tools to the Civil3D ribbon.

Tuples might look simple… but they’re powerful! 👀✨ If you’re working with fixed data that shouldn’t change, tuples are your best friend 💡 ✔️ Ordered ✔️ Immutable ✔️ Supports heterogeneous data Understanding CRUD on tuples helps you clearly see why immutability matters in Python 🐍 Save this post for quick revision & follow for more Python concepts explained visually 🚀 #PythonProgramming #LearnPython #CodingJourney #SoftwareDevelopment #TechCareer

Just launched: Open Telemetry in Python — Part 1 If you've ever stared at logs at 2 AM wondering "which" service broke and "why" — this tutorial is for you. Part 1 covers the foundations: → What observability actually is (and how it differs from monitoring) → The three pillars: Traces, Metrics, and Logs → What OpenTelemetry is — and what it isn't → Your first instrumented Python app with real spans No fluff. Just clear explanations, working code, and a cheat sheet you'll actually use. 📖 Read it free at www.getspanforge.com 🔗 https://lnkd.in/geWXMD2w Parts 2–6 (Flask, Jaeger, Prometheus, the Collector) are coming soon. Follow along if you don't want to miss them. Share your comments, thank you. #OpenTelemetry #Python #Observability #SoftwareEngineering #DevOps

🚀 Day-46 of #100DaysOfCode 🐍 Python Pattern Programming – Right-Angled Star Pattern Today I implemented a basic Right-Angled Star Pattern using nested loops. 🔹 Concepts Practiced: ✔ Nested for loops ✔ Row and column control ✔ Output formatting using end=' ' ✔ Understanding incremental patterns 🔹 Approach: The outer loop controls the number of rows The inner loop prints stars equal to the current row number 🔹 Key Learning: Even simple pattern problems help strengthen loop fundamentals, logical thinking, and output control, which are essential for mastering programming basics. #Python #PatternProgramming #StarPattern #CorePython #100DaysOfCode #Day46 #LearnPython #CodingPractice #PythonDeveloper

If you're not automating your daily workflows in 2026, you're missing out on massive time savings. 🛑⏳ Python has always been the king of automation, but the libraries leading the charge this year are taking things to a whole new level. From simple task automation to complex orchestration, there’s a modern tool for exactly what you need. 🛠️✨ Curious about which Python libraries you should be adding to your tech stack right now? I found a great guide that ranks and reviews the best options available today. 🔗 The link is in the first comment! Let me know what tasks you are automating this year. #WorkflowAutomation #PythonCoding #TechTrends #ProductivityHacks #SoftwareEngineering #Python

Stop using for loops to process data in Python. Do this instead. Day 6/47: Calculating Batting Strike Rates! 🏏 Processing millions of rows with a standard Python loop will freeze your system. The fix? Vectorization. Instead of looping row-by-row, NumPy aligns arrays in memory, executing math (runs / balls) * 100 instantly in parallel. Standard Lists = Slow & Iterative. NumPy Arrays = C-Speed & Parallel. 🔊 Watch my 43-second animated Masterclass to see the data flow! Ever crashed a notebook with a bad loop? Let me know! 👇 #DataScience #NumPy #Python #MachineLearning #CodingJourney #BSCIT

Somebody at Canonical started a series of interviews to the maintainers of kwown/less known open-source projects for their Youtube channel. As a daily user of coverage.py and strong fan of metric-driven unit testing in general, I can't be happier of this. I filed a bug report/feature request for them once as well, which has been partially integrated in the codebase. "Ned Batchelder (nedbat), creator and long-time maintainer of coverage.py, joins Push to Talk | Meet the Maintainers to share his path into programming and open source and the real story behind one of Python’s most popular testing tools. We talk about the journey to coverage.py, the turning points that shaped it, and why the measurement of the library is only 94%." #python #softwaredevelopment #unittesting https://lnkd.in/djvneQ7M