Debugging Docker: Missing Dependencies in Production

Real-world APIs often break Python naming conventions, forcing awkward compromises between code quality and external integration requirements. You want to maintain clean Pythonic code and avoid incidental complexity. But you also need to handle camelCase, kebab-case, and other non-Pythonic field naming for third-party integrations. Unfortunately, most teams end up with messy field mapping or abandoned code standards because traditional approaches force you to choose between code quality and integration functionality. Here's where Pydantic's alias system transforms your integration architecture: use Field(alias='externalName') for clean external mapping while preserving perfect Python naming internally. Result: More maintainable Python code + seamless API integration #Python #Pydantic

pip install neo4j-mcp-server Our official MCP Server has been wrapped as a standard Python package on PyPI means installation follows the conventions every Python developer already knows. It integrates cleanly with pip, uv, pipx, and uvx. That's all you need to install our official MCP Server using Python tooling. Huge shout out to the excellent team of Engineers , that I am privileged to work with on a daily basis, who have made this possible. #mcp #genai #ai #neo4j

Killpy Launches Unified CLI for Python Environment Cleanup 📌 Killpy revolutionizes Python dev cleanup by unifying environment deletion across 11 package managers - from Conda to Pipenv - in one CLI. It smartly targets obsolete artifacts while sparing active setups, slashing disk bloat with zero-risk automation. Perfect for devs drowning in 10–40GB of stale virtual environments. 🔗 Read more: https://lnkd.in/d4n_iGqk #Killpy #Python #Cli #Virtualenvironment #Packagemanager

Log 2/100: Telnetting into the Switch Python Library: telnetlib Today, I wrote a script to Telnet into my lab switch, but it kept crashing. After some troubleshooting, I found the exact issue: Python is just too fast. The script kept pasting the username before the switch had even generated the login prompt. The Fix: I added an extra line to the script (read_until) to force Python to wait and read the output until it actually saw the word "login:", and then asked it to paste the username. I applied the same logic to the Password prompt as well. Suddenly, the script started working flawlessly. The Takeaway: Writing the code is the easy part. Anticipating timing issues and making sure the script actually works without breaking in production is the tough part! The scirpts executes the show version command on the switch. Git Hub Repo: https://lnkd.in/gFkfNyWm Git hub Profile: https://lnkd.in/gjJJJQeT #Python #NetworkAutomation #NetDevOps #NetworkEngineering #100DaysOfCode #ArubaCX #CodingJourney

TeamPCP backdoored litellm Python package versions 1.82.7 and 1.82.8 via a likely Trivy CI/CD compromise. Malicious code harvests credentials, enables Kubernetes lateral movement, and installs a persistent systemd backdoor. #SupplyChain #PythonSecurity ➡️ https://ift.tt/hcY8Ck2

PART 1 of building my python final! In my previous post, I mentioned that we focused on structure before coding the python project- heres a more detailed breakdown of how it went! (also a small guide if you wanna try it yourself!) We designed the system using a three-layer architecture: • GUI Layer • Service Layer • Data Access Layer This ensured that the interface, logic, and database were all separated. At first, it felt slower than just coding everything together. But as features increased, this structure kept the code clean, made debugging easier and allowed independent changes. Next, we needed to define how different users would interact with it. In the upcoming posts, I'll elaborate more and you can join me on the journey!! DAY 10 #SystemDesign #CleanCode #BackendDevelopment

Been building a small Python toolkit over the past few days to automate the stuff I kept doing manually on my machine monitors CPU/RAM/disk in real time, sorts files automatically, runs scheduled jobs in the background, backs up folders to zips, and plots a live stats chart all from one CLI menu nothing groundbreaking, just scratching my own itch and figured I'd clean it up and open source it repo's up if you want to check it out or use it https://lnkd.in/dSyts_Gx built under Litends we're slowly open sourcing more of our internal tooling #Python #OpenSource #Automation #Litends

CI/CD has improves code quality - and GitHub Actions makes it easier than ever to get started. I just built my first CI/CD pipeline with GitHub Actions! Check out my documentation for the step-by-step process 👇 ✅ Created a Python project with pytest tests ✅ Set up GitHub Actions workflow ✅ Configured automated testing on every push ✅ Watched my first green build pass Huge thanks to @NextWork for this awesome project guide. https://lnkd.in/gqvEJrP9 #CICD #GitHubActions #Python #DevOps #NextWork

Pydantic is a Python library that helps you: 👉 Validate data automatically 👉 Convert data types safely 👉 Define clear data structures Before Pydantic, these were the problems: - You forget validation → bugs - Wrong types → crashes - Messy code everywhere With Pydantic: - Converts "25" → 25 - Validates data - Throws error if invalid Pydantic is heavily used in: - APIs → with FastAPI - Data pipelines - Backend systems - Config validation These are some of the advantages of Pydantic. #Python #Pydantic #datavalidation #LLMs

Advanced Python 2026 (Part 7) is Live: Virtual Environments As your Python projects grow, managing dependencies becomes critical. In Part 7 of the Advanced Python 2026 series, we explore virtual environments—a must-have skill for every serious developer. Key highlights: • Isolating project dependencies • Avoiding version conflicts • Creating clean, reproducible setups • Managing libraries professionally This is how developers ensure their code runs consistently across different systems. If you want to build reliable, production-ready applications, this is a step you can’t skip. Read Part 7 here: https://lnkd.in/ewjUtv-7 #Python #Programming #JMSM #KNKA #SoftwareDevelopment #Developers #TechEducation #CleanCode #DevOps #Python2026