Zavod-IT’s Post

Built a Pipeline Parser app using FastAPI + React 🧩 ➤ Backend (FastAPI): Parses nodes & edges and checks DAG validity ➤ Frontend (React + React Flow): Visualizes and sends pipeline data for parsing 🔗 Check it out here → https://lnkd.in/gtcfUCQf #Python #FastAPI #React #ReactFlow #FullStack #BuildInPublic

Python Project Series: Part 31 - Typing Speed Test It’s been over two weeks since the last project. I know, I know… the streak took a coffee break. But we’re back, and this time, on the web! After 30 terminal-based projects, this starts a new chapter: our transition to web-based development using Flask (Python) and JavaScript. For this one, I built a Typing Speed Test App that measures WPM and accuracy, with difficulty-based paragraphs and a clean UI. A small yet fun project and a solid start to the web era of the series. Break taken, Focus restored and Projects resumed #PythonProjectSeries #Flask #WebDevelopment #LearningByBuilding #KeepCoding #Frontend #Backend #100DaysOfCode #PythonProjects #ProjectSeries #Part31

TypeScript is now the most used language on GitHub in 2025 Yep, you read it right, TypeScript overtook both Python and JavaScript. Its rise illustrates how developers are shifting toward typed languages that make agent-assisted coding more reliable in production. It doesn’t hurt that nearly every major frontend framework now scaffolds with TypeScript by default. Even still, Python remains dominant for AI and data science workloads, while the JavaScript/TypeScript ecosystem still accounts for more overall activity than Python alone. #AI #TypeScript #Python

Thrilled to dive into the world of FastAPI! 🚀 This modern Python web framework for building APIs is truly a game-changer. I'm currently exploring its key features like blazing fast performance, automatic data validation using Pydantic, and the incredible out-of-the-box interactive documentation (Swagger UI/ReDoc) based on OpenAPI standards. The use of standard Python type hints not only makes the code cleaner and less error-prone but also significantly speeds up development time. Looking forward to building some high-performance, production-ready REST APIs and microservices! Has anyone else recently made the switch to FastAPI? What's your favorite feature so far? Share your thoughts and projects below! #FastAPI #Python #WebDevelopment #API #BackendDevelopment #Programming #Coding #Microservices #SoftwareDevelopment #TechLearning #Pydantic

Came across an impressive Chrome Side Panel extension recently. It automatically generates production-ready Page Object Model (POM) files directly from any webpage. You can instantly get clean, structured code for your tests in TypeScript or Python, with: 🔹 Smart element detection and stable locators 🔹 Semantic, readable naming 🔹 Ready-to-use POM structure for direct integration This is a great step by the Playwright team making automation faster, cleaner, and more developer-friendly. Definitely worth trying if you work in test automation or framework design. https://lnkd.in/d-iPrQZR #Playwright #TestAutomation #PageObjectModel #TypeScript #Python #SDET #QA #AutomationFramework

Created and deployed a Flask web API. basically, a small server that listens for web requests and returns data in JSON format. That’s the same principle behind any real backend from Instagram’s APIs to WhatsApp bots. Visit this page: https://lnkd.in/dj-urQwD #LearnInPublic #Python #flask #webapi #git #API #Routing #Coding

Why is everyone suddenly obsessed with Python and TypeScript? 🔥 It's not just hype – these languages are driving MASSIVE developer product adoption! Think about it: Python's simplicity makes it perfect for everything from data science to scripting. TypeScript brings much-needed structure to JavaScript, making large projects manageable. When a language is easy to learn and use, more developers adopt it, and their tools flourish. The result? Libraries, frameworks, and tools built with Python and TypeScript gain instant traction. This creates a powerful network effect: more users, more contributors, and ultimately, better products. So, what language are you betting on to dominate the developer landscape next? 🤔 Let's discuss! —- Try out some of these AI concepts yourself! https://lnkd.in/gJJWVVBE #Python #TypeScript #DeveloperTools #Programming #TechTrends #SoftwareDevelopment #Coding

Leveling up my FastAPI game! 🚀 Here’s a quick look at the rate limiting implementation I just finished. It's stable, scalable, and essential for API resilience. What are your favorite tools for API security? 👇 #FastAPI #Python #API #CodingLife #DevOps #BackendEngineering https://lnkd.in/e6Qxatnk

In one of my videos about Typescript (https://lnkd.in/ddCexNgd), I mentioned that as of 2024, TypeScript held the third spot among the most used languages on GitHub — but that’s no longer the case. Python still lags behind the combined JavaScript and TypeScript ecosystem, continuing the previous year’s trend that underscores how dominant the broader JavaScript community remains. However, starting in 2025, Python’s growth began to run almost parallel to that of JavaScript and TypeScript, indicating that the rise of AI development is influencing language preferences across these ecosystems. More details: https://lnkd.in/djxSYVzx #typescript #js

A startup rewrote their entire backend from Python to Node.js... just one week after product launch. The motive? Reduce latency, improve asynchrony and better handle competition. Does that mean Node is better than Python? No. It means there is no perfect stack, but yes technical decisions that make the difference when you understand their limits. . . . . . #nodejs #javascript #developer #coding #webdevelopment #backend #python