Leveling up the lab 💻⚡ Installed essential Python tools 'Nornir', locked in dependencies, and upgrading the stack—one step closer to full network automation mastery 🚀 #LearningInPublic #DevNet #CCNA #Python #Homelab

The biggest misunderstanding in networking: “More knowledge = better engineer” Not anymore. Today, a strong engineer is not the one who knows the most commands… But the one who can apply changes across 100+ devices reliably. That requires: • Automation • Validation • Repeatability Think beyond CLI: → Push configs using Python (Netmiko / APIs) → Validate state automatically → Detect & fix issues before users notice And that’s exactly where most engineers are stuck. #NetworkAutomation #Python #NetDevOps #Networking

Microsoft has released Agent Framework 1.0 as the production-ready foundation for building AI agents and multi-agent workflows in both .NET and Python. The release brings stable APIs, long-term support and a unified path forward that builds on Semantic Kernel and AutoGen while adding enterprise-grade orchestration and multi-model support. See what Agent Framework 1.0 means for developers: https://lnkd.in/drneyWyR #Microsoft #dotNET #Python #AIagents #DeveloperTools

**New video: Debug Python the Right Way** Got a Python traceback but no idea why? The VS Code debugger shows the actual data — no print() rewriting, no guesswork. Breakpoints, variables panel, debug console, and watch expressions — all on a real script hitting an IOS-XR device via the free Cisco DevNet Always-On Sandbox. Part 3 of the Month of Developer Productivity series. 🔗 https://cs.co/6047BBKdlW #DeveloperProductivity #CiscoDevNet #NetworkAutomation #PythonDebugging #VSCode

Another video I wanted to share. Debugging #Python took me a while to grasp it, specially since it was difficult for me to use pdb, so prints were always easier. But once I saw how to do it in VSCode I always use it when investigating why something is not working. Worth to get this skill.

In this week’s lecture, Dr. Hartmut Kaiser focuses on the seamless integration of C++ and Python. The lecture highlights essential foundational concepts by exploring how to combine the user-friendliness and extensive library ecosystem of Python with the raw performance of C++, setting the stage for highly efficient scientific computing. A core discussion demonstrates how to utilize the Pybind11 library as a lightweight solution for creating Python bindings, specifically addressing the practical challenges of mapping C++ functions, classes, and diverse data types. Finally, critical strategies for integrating NumPy arrays are explored, offering a comprehensive approach to maximizing performance in advanced mathematical and data-driven applications. Watch the full lecture here: https://lnkd.in/dNkKbBWc #ParallelComputing #HPC #Cplusplus #HPX #ScientificComputing #StellarGroup

🔍 if-else in Python (Real Use Case) if CPU > 80: print("High Usage Alert") This is how automation works: 👉 Condition → Action Used in: ✔ Monitoring ✔ Alerts ✔ Decision making #Python #Automation

Learn about computer vision with Python and OpenCV, including its basics, applications, and a tutorial on getting started https://lnkd.in/gvTsj_v9 #ComputerVision Read the full article https://lnkd.in/gvTsj_v9

Mastering Concurrency in Python: Async vs. Threading vs. Multiprocessing Dive deep into Python's powerful concurrency models: Threading, Multiprocessing, and Async/Await. Understand their core differences, practical use cases, and how they interact with the Global Interpreter Lock (GIL) to optimize your applications for both I/O-bound and CPU-bound tasks. This tutorial provides clear explanations, detailed code examples, and best practices to help you choose the right tool for the job. Read the full article 👇 https://lnkd.in/g9ejg6Q7 #Technology #Programming #SoftwareDevelopment #PythonConcurrency #AsyncIO #Threading #Multiprocessing #GIL #FutureOfWork #DigitalTransformation

20+ years of business in a nutshell: Details matter. In Python, the is operator is a silent trap. It checks if two variables point to the same memory address, not if they have the same value. Senior developers know that Python’s memory management handles 256 and 257 completely differently. Don't just write code—understand the "game beneath the game". #PythonDeveloper #CleanCode #SoftwareArchitecture #ProgrammingTips #CareerGrowth