Exploring APIs with Python | Learning in Action Today, I worked on a simple yet powerful Python script using the requests library to fetch geolocation data from an API. 🔹 API Used: ipinfo.io 🔹 Method: GET request 🔹 Output: JSON data (IP details like city, country, region, etc.) Understanding how to interact with APIs and handle JSON responses is a fundamental skill for automation, DevOps, and backend development. Here’s what I practiced: ✔ Sending HTTP requests using Python ✔ Parsing JSON responses ✔ Iterating over dictionary data ✔ Debugging syntax errors effectively This small step is helping me move forward in my journey as a Python Automation Engineer & Linux Admin. #Python #API #Automation #Linux #DevOps #Learning #CodingJourney
Python API Exploration with ipinfo.io
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⚡ Built a containerized Python-based network availability monitoring system The application performs continuous network checks, logs performance metrics, and runs inside containers for better scalability and portability. This approach makes deployment consistent and reduces system dependency issues. A great learning experience in combining Python scripting with container technologies to build reliable monitoring tools. #Python #Docker #Networking #SystemDesign #DevOps
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Stop shipping massive, bloated Python containers. 🐳🐍 As a DevOps engineer, one of the easiest wins for performance and security is optimizing your FastAPI Dockerfiles. Moving from a single-stage "heavy" build to a multi-stage workflow isn't just about saving disk space—it’s about: ✅ Security: Removing compilers, pip, and OS packages in the final image. ✅ Speed: Faster CI/CD pipelines and quicker scaling during deployments. ✅ Efficiency: Using non-root users and slim base images to reduce the attack surface. Check out this breakdown: 1.2 GB (Bad) ➡️ 150 MB (Good) How are you optimizing your Python builds? Let's discuss in the comments! 👇 #DevOps #Docker #Python #FastAPI #CloudNative #ProgrammingTips
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Python Reimplementation of Claude Code Agent Now Available for Local Models 📌 Claw Code Agent lets devs run Claude-style coding agents locally-no cloud subscription needed. Built in pure Python, it strips away enterprise bloat for lean, open-source control over tool calls, file edits, and shell commands. Perfect for Python engineers wanting to experiment with agentic workflows using local models like Qwen3-Coder. 🔗 Read more: https://lnkd.in/d7SNVJ4f #Python #Claudecodeagent #Clawcodeagent #Localmodels #Opensource
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𝐑𝐮𝐬𝐭 𝐟𝐨𝐫 𝐂𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬 𝐔𝐩𝐝𝐚𝐭𝐞 𝐀𝐩𝐫𝐢𝐥 𝟐𝟎𝟐𝟔 The Rust for CPython project aims to enhance Python's performance by integrating Rust. This will enable developers to write Python extensions in Rust, offering better safety and concurrency features. 💡 It is recommended to integrate Rust in new Python projects now. This will position teams advantageously for performance improvements in the upcoming quarters. 👉 https://lnkd.in/eMpFvQNA PYTHON — Python · 🟡 MEDIUM #AWS #AmazonWebServices #CloudComputing #DevOps #CloudUpdates
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🚀 Learning Docker Step by Step Dockerfile for a Python application Key things: ✅ How to use a base image (python:3.11-slim) ✅ Setting up a working directory ✅ Installing dependencies using requirements.txt ✅ Exposing ports for application access ✅ Running the application inside a container Docker makes application deployment consistent, scalable, and environment-independent — which is a must-have skill for DevOps 🚀 Next step: Moving towards multi-stage builds & container optimization 💡 #Docker #DevOps #CloudComputing #LearningJourney #Python #Containers #ITCareer #TechSkills
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I wrapped up the Python fundamentals module this week of the DevOps roadmap I’ve been following for the past couple months. Of the languages I’ve worked with, Python is the one that actually feels fun to write. The syntax is clean, the logic reads like English, and you spend your time thinking about the problem instead of debugging semicolons like with Java. It’s been awhile since I worked with Python, so I refreshed my memory on everything from variables and functions to error handling, data structures, and modularizing code. The next module shifts into Python automation, which is the part I’ve been waiting for. Fundamentals are necessary but writing scripts that automate real tasks is where Python earns its spot in the DevOps toolkit. #Python #DevOps #LearningInPublic
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Stepping towards Network Automation - Learning should never stop. 👍 #NetworkAutomation #Ansible #Python #RestAPI #YANG #IaC #SwaggerUI #PyATS #RESTCONF #NETCONF #AIAutomation #Git
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Your Path to DevNet Associate (Step-by-Step) Confused about where to start with Network Automation? I’ve broken down the DevNet learning journey into 5 clear phases. Whether you’re a traditional net-eng looking to upskill or a dev moving into infrastructure, this roadmap highlights the core tools and concepts you need to succeed. #DevNet #CiscoDevNet #NetworkAutomation #Python #NetEng #InfrastructureAsCode #DevOps #LearningRoadmap
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🚀 Just built a simple yet useful Python script! The idea is straightforward: 📂 Read files from a directory 🔍 Scan for errors inside those files 🖥️ Print detected errors on the screen This is a small step towards building automation tools for log analysis and debugging — something really important in DevOps workflows. Currently away from my laptop, but soon I’ll: ✅ Push the complete code to GitHub ✅ Share screenshots and detailed explanation Stay tuned! 👨💻 #Python #DevOps #Automation #Learning #CodingJourney
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Engineers are rewriting Python automation engines in Golang and getting up to ten times more throughput with the same logic. Python works well for automation, but at scale issues appear. High memory usage under concurrency, the GIL limiting parallelism, slow cold starts, and complex thread management. 💪 Golang changes the game. Goroutines are lightweight and scale easily, true concurrency uses all CPU cores, memory usage is lower, and cold starts are near zero. 🦢 Python is still ideal for machine learning and rapid prototyping. But for high throughput automation systems, Golang is often the better choice. Choose the language based on the problem, not habit.
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