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
Python Claude Agent for Local Models Now Available
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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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Stop fighting with Docker and timeout limits just to run a simple Python script in your n8n or Zapier workflows. Visual automation tools are incredible, but the moment you need a heavy Python package like pandas or BeautifulSoup, you usually hit a wall. Suddenly, you are spending hours configuring environments instead of building workflows. That is exactly why V-RUN was created. It is a serverless Python engine built specifically to remove DevOps friction from automations. We’ve designed a workflow that feels like magic: 1️⃣ Write your Python code in V-RUN (or let our AI agent - V-Dev write it for you). 2️⃣ Click "Copy to n8n". 3️⃣ Hit Ctrl+V in your n8n canvas. It instantly drops a fully configured HTTP Request Node into your workspace. All the heavy lifting and pip install dependency management happens in the cloud, and your workflow simply receives the clean JSON data. Zero infrastructure setup. Just copy, paste, and run. Try the platform directly here: https://lnkd.in/gS_jB6Qb Demo: https://lnkd.in/gqxi28na Let me know what workflows you are automating! 👇 #n8n #Automation #Python #DevOps #Productivity #NoCode #WebScraping
Turn Python Code into an n8n Node in 1 Minute
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Elevate Your Coding Foundation with Python Essentials 🚀 Python continues to be one of the most versatile and in-demand languages in the tech industry today. Whether you are building AI models, managing cloud infrastructure, or developing web applications, a solid grasp of the fundamentals is non-negotiable. I’m excited to share this quick-guide module covering: ✅ Variables & Dynamic Typing – The building blocks of Python. ✅ Control Flow – Making logical decisions within your programs. ✅ Iterative Logic – Using for loops to handle data sequences effectively. At VaruncodeX, we believe in making complex technical concepts accessible and practical. Check out the guide below for a concise breakdown of theory, code implementation, and live output. What are your favorite Python libraries for modern development? Let’s discuss in the comments. #Python #SoftwareEngineering #TechStartup #VaruncodeX #Programming #DataScience #WebDevelopment #PythonBasics #LearningAndDevelopment #CSE
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Kubernetes Jobs + Python ThreadPoolExecutor + Jeffrey Epstein Files Hej! I am Rina and for today I will be showing how Kubernetes Jobs, Python ThreadPoolExecutor and Jeffrey Epstein Files works. We will give this de@d pedow a little spotlight. In the https://lnkd.in/e7tsiJaU, there are 12 data sets. And each data set consists of many pdf files. I am going to download them randomly using ThreadPoolExecutor with 50 workers and 4 kubernetes pods. Link to the complete video: https://lnkd.in/eyRQirxP Github: https://lnkd.in/eiwPCGEk The Github repo rinavillaruz/jeffrey-epstein-files comes with dev, staging and production Kubernetes, ArgoCD, Jenkins as Code, Python, Skaffold, and Github Actions setup. It's an ongoing project and everything is not perfect. #DevOps #Kubernetes #JeffreyEpsteinFiles #Python
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🐍 Why Python is the Best Language for Beginners What makes Python powerful? ✔ Easy syntax (almost like English) ✔ Less code, more output ✔ Huge community support Example: Print a message → print("Hello World") That simplicity is why Python is widely used in: ✔ Cloud ✔ Automation ✔ Data #Python #LearningToCode
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🔥 Mastering Lambda Functions in Python (In Simple Words) Lambda functions in Python are small, anonymous functions that are defined without a name. They are designed for short, one-time use—especially when you need a quick function without the overhead of a full function definition. 🚀 Why developers love Lambda functions • Reduces code length • Improves readability for simple operations • Perfect for functional programming style • Eliminates the need for temporary functions ⚠️ But remember… Lambda functions are not meant for complex logic. If your function involves multiple steps, conditions, or statements, a regular function is always a better choice. 🎯 Real mindset shift Start thinking: “Do I really need a full function for this?” If the answer is no → Lambda is your weapon ⚡ 📌 Pro Tip Use lambda when: ✔ Logic is small ✔ Function is used only once ✔ You want concise and clean code Avoid lambda when: ❌ Logic is complex ❌ Multiple operations are needed ❌ Readability is affected --- 💬 In Python, simplicity wins. Lambda functions are a perfect example of writing less and doing more. --- #Python #LambdaFunction #Coding #Programming #Developers #SoftwareEngineering #LearnPython #Tech #100DaysOfCode #CodeSmart #CleanCode #FunctionalProgramming #PythonTips #DeveloperLife
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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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📂 File Handling in Python with open("log.txt") as f: data = f.read() Real-world use: ✔ Read logs ✔ Analyze errors Cloud Support = Log analysis #Python #LogAnalysis
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Node.js vs Python: Which Backend Should You Learn in 2026? In 2026, Node.js excels in real-time, scalable applications with JavaScript ecosystems, while Python dominates AI, data science, and rapid development. Choosing the right backend depends on your project needs, performance goals, and career focus. For a deeper dive, check out the complete blog on our website. https://lnkd.in/dyCrb9Uq #Nodejs #Python #BackendDevelopment #WebDevelopment #FullStackDevelopment #JavaScript #Coding #Programming #TechTrends2026 #BackendFrameworks #LearnToCode #ManifestInfotech #DeveloperCommunity #NodejsVsPython #SoftwareDevelopment #TechBlog #FutureOfCoding #WebDevelopers #CodingLife #ManifestInfotech
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Vera Anchor just released its Python SDK. This marks a significant step forward in Vera Anchor's mission to provide researchers, developers and community members with tools to make their data, compute, and workflows both verifiable and reproducible. The Vera Anchor Python SDK is the simplest way to anchor any file, file set, or dataset to Hedera with a secure, deterministic evidence trail which can be fully verified by reviewers. With just a few lines of python you can anchor files of any format, and the best part is your raw data never leaves your machine. I just released a full demo walking through live SDK workflows. If you work with data that needs to be verifiable, reproducible, or tamper-evident this was built for you. Sign up for early access now at https://veraanchor.com
Excited to share some info on the new Vera Anchor Python SDK: a local-first evidence anchoring system built on Hedera. The Python SDK allows users to deterministically anchor any file, file set, or dataset to Hedera through Vera Anchor. Whether it be image, CSV, PDF, or whatever else you may be working with, the Vera Anchor Python SDK makes anchoring your evidence easy! Raw data never leaves the user's machine, allowing you to prove what data you possessed and when, without exposing the underlying data. This brings Python support to Vera Anchor, with identical deterministic evidence package construction to the existing JS SDK. Just dropped a full demo walking through live SDK workflows: single file ingest, diverse file sets, larger datasets, verification flows, and a tour of the Hash Factory UI including live HCS transaction decryption. Links: Build with Vera Anchor + Early Access Signup: https://lnkd.in/eCMRU_G3 Github Repo: https://lnkd.in/epz-MVZq Demo Video: https://lnkd.in/e7DRNB9p Expanded early access will begin next week. Happy to answer any questions here. Register now for end-to-end access to Vera Anchor! Hedera Hedera Foundation
Vera Anchor Python SDK
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