Unlocking asyncio: Nginx, Redis, and epoll under the hood

Linux, Docker, Python, DuckDB. Master these four and you're 80% there. The essentials: Linux commands - you'll live in the terminal. Dockerfiles - containerize everything. Python tools - the glue language. DuckDB - for everything SQL. I've seen too many junior engineers try to learn Kafka before mastering SQL. Or deploy on Kubernetes before understanding Docker. The foundation matters more than the flashy tools on top. https://lnkd.in/e8hHR4wP

Why Every Python Developer Should Use Virtual Environments If you're still installing Python packages globally, you're likely creating dependency conflicts without realizing it. Virtual environments (venv) provide a clean and isolated workspace for each project. Why it matters: Avoid version conflicts between projects Keep your global Python installation clean Easily reproduce environments across teams Safely experiment with new libraries Quick setup: python -m venv myenv source myenv/bin/activate # Mac/Linux myenv\Scripts\activate # Windows pip install -r requirements.txt Each project gets its own environment, which makes your development workflow more predictable and maintainable. Pro tip: Always include a requirements.txt or pyproject.toml file so others can replicate your setup. Virtual environments are a foundational best practice in Python development. #Python #SoftwareDevelopment #BackendDevelopment #DevOps #Programming

If you're not using virtual environments in Python… you're making a big mistake. Here’s why they matter Problem: Different projects need different package versions → This creates conflicts (and headaches) Solution: Virtual Environments They let you: → Isolate dependencies per project → Avoid version conflicts → Keep your system clean How to use: → Create Virtual Environment python -m venv myvenv → Activate Virtual Environment in (Windows) myvenv\Scripts\activate → Activate Virtual Environment in (Mac/Linux) source myvenv/bin/activate → Install packages pip install <package_name> → Deactivate Virtual Environment deactivate Simple habit. Huge impact #Interview_Question: What is a virtual environment, and why is it created? →In Python, a venv (Virtual Environment) is an isolated folder that stores specific Python libraries and versions for a particular project. It is distinct from the main system's Python installation, thereby preventing package version conflicts and providing an independent environment for projects. Do you use virtual environments in your projects? #Python #VirtualEnv #BackendDevelopment #Coding #Developers #Backend #Python #FastAPI #Flask #Django

⚙️ Python Automation: Process Checker ```python import os process = "nginx" output = os.popen("ps aux").read() if process in output: print("Process Running") else: print("Process Not Found") ``` 💡 Use case: ✔ Check critical services #Python #Linux

RISWIS Applied semantic winner ≠ policy winner Ran on a fresh Windows machine (PowerShell, Python 3.12) Clone → install → run. No setup issues. Validation: ✅ general phrasing → no flip ✅ trust-sensitive phrasing → rank flip Behavior: ✅ system does not force overrides ✅ makes ranking changes visible Observed runs: ✅ same query family → different outcomes ✅ ranking changes only when weighting actually matters GitHub below. #RAG #LLM #AIEngineering #MLOps

How to Fix Azure Blob Storage ConnectionResetError 10054 in Python (On-Prem Windows VM Guide) Fix Azure Blob Storage upload error 10054 in Python from on-prem VM. Step-by-step guide to resolve ConnectionResetError 10054 with working code. https://lnkd.in/guKNYkFf

Did you know you can comment out an entire block of code in R with a simple shortcut? This is super useful when testing or debugging parts of your script. Select the code and press: 🔹 Ctrl + Shift + C (Windows/Linux) 🔹 Cmd + Shift + C (Mac) The same shortcut also uncomments code, making it easy to toggle between active and inactive sections. Check out this tutorial for more details: https://lnkd.in/ezWsUg5f Stay updated on R, Python, and data science. Join my newsletter for hands-on tutorials and useful insights. See this link for additional information: https://lnkd.in/dcyXHzap #RStats #datastructure #R #DataScience

If you’re still manually running backups, checking server health, or triggering API integrations—you’re leaving productivity on the table. 📉 Our latest guide breaks down the following: 1️⃣ Writing the Script: Clean, efficient Python code for any task. 💻 2️⃣ Safe Testing: How to verify your script works before it goes live. 🧪 3️⃣ Scheduling with Cron: The industry-standard way to automate execution on Linux. ⏰ Get the full step-by-step tutorial here: 🔗 https://lnkd.in/dzwxf-MY #Python #Linux #Automation #Programming #CloudComputing #PythonScripts #CodingLife

day 19 [no zero days] take 17yo to airport to start his spring break walk 8k+ steps to Walgreens [the looooonnnng way] ***then*** 1. Cyber Range: SOCs introduction 2. Automate the boring stuff with Python [https://lnkd.in/enm-f53y]: Lesson 1 3. Python.org: download and install version 3.143 4. Codewith.mu: download and install mu editor 1.2.0 5. Ultimate Kali Linux Basics Tutorial for Beginners (2025/2026 Edition)! Kali Linux from Scratch [https://lnkd.in/enDZ8n54] #day19 #nozerodays #100daygoal

Python and Rust developers, please, I need your attention for 10 seconds! I have been working on https://lnkd.in/dhEADfGH last week. This is the cross-platform event loop for asynchronous applications written in Python. In simpler words: this makes your code faster than the default implementation. For APIs, it has better jitter than uvloop (written in C) and it has native Windows support based on IOCP. Linux already has io_uring support. Take a look at the library in your free time, this is worth it. Thank you!