Introducing fastreactpy: Python's Lightweight Reactive State Library

Choosing your first Python web framework can feel overwhelming—especially when everyone has an opinion. Flask, Django, and FastAPI each solve different problems, and picking the wrong one early can slow your learning or overcomplicate your project. In this beginner-friendly guide, I break down Flask vs Django vs FastAPI using simple explanations, clear comparisons, and real-world examples. From Flask’s minimalist flexibility, to Django’s batteries-included approach, to FastAPI’s modern, high-performance API focus—this post helps you understand when and why to use each framework. If you’re starting a new Python project or trying to decide which framework fits your goals, team size, and performance needs, this article will help you make a confident, informed choice. Read the full guide here: https://lnkd.in/gG4eRkXa #Python #WebDevelopment #Flask #Django #FastAPI #BackendDevelopment #APIs #SoftwareEngineering #BeginnersGuide #CodedByAzm

A “simple Python script” rarely stays simple in production. 🧩😅 In our latest article, we show how to turn Kitsu pipeline scripts into a single command-line tool that runs anywhere! No Python installs, no dependency headaches, no environment setup. ⚙️🚀 By wrapping Gazu in a CLI and compiling it into a standalone binary, studios can deploy reliable tools across artist machines, render nodes, and CI servers with confidence. 💡🖥️ Read the full article here:

An animation pipeline can start with something very basic, but the whole concept of deployment is a showstopper for many small studios that don't have sufficient IT resources. There are solutions to make it simpler, and this one is Open Source. Check it out.

🚀 Taking my first steps into modern python backend development with FastAPI! ’m excited to share that I’ve been diving into FastAPI, one of the fastest and most intuitive Python frameworks for building APIs. To put my learning into practice, I built a fully functional Calculator App where the logic doesn't just live in the browser—it's powered by a Python backend! 🐍 What I built: A Clean, responsive Calculator web app where every operation (addition, subtraction, multiplication, division) is processed via API calls to a FastAPI server. Why FastAPI? Coming from a Python background, I was blown away by how fast it is to get up and running. The auto-generated documentation (Swagger UI) made testing my endpoints a breeze. Check it out live and let me know what you think! Live Demo: https://lnkd.in/dSMmBFX5 GitHub Repo: https://lnkd.in/dCYHnfHZ I’m just getting started. Any FastAPI pros out there? specific libraries or best practices I should look into next? #FastAPI #Python #WebDevelopment #CodingJourney #Backend #Render #OpenSource #LearningByDoing https://lnkd.in/dCYHnfHZ

Hey folks 👋 Was getting a bit bored recently, so decided to build something that actually felt interesting and useful from an engineering point of view. I’ve been working on a small Python tool called FastAudit — it checks whether a Python app is actually production-ready before deployment. Things like: • DEBUG flags • settings misconfigurations • unsafe defaults • Python setup issues that usually show up at the worst time Right now it works in Django mode only, and it’s still very much a work in progress. I’m focusing on making the Django side solid first before extending it to other frameworks like FastAPI, flask, etc. Not trying to make it perfect — just building in public, learning a lot about Django internals, packaging, and real-world edge cases along the way. Will keep improving it, and later plan to cover other Python frameworks too. If you’ve faced similar “it works locally but breaks in prod” moments, you’ll know why this exists 🙂 More updates soon. #BuildingInPublic #Django #Python #BackendEngineering #SoftwareEngineering #DeveloperTools

🚀 Continuing My Journey with FastAPI & Python Today I focused on strengthening my backend foundations by exploring how FastAPI works with Python to build dynamic APIs. 💡 Key learnings from today: How path parameters help fetch specific data (like /users/10) Using query parameters for filters and search (like ?page=2&limit=10) Type validation in FastAPI and why it prevents runtime issues Default values and optional parameters Real-time API examples similar to real products, users, and orders Comparing FastAPI behavior with Django and REST concepts FastAPI continues to impress me with its speed, simplicity, and automatic documentation — making backend development more intuitive and enjoyable. Step by step, building consistency and confidence. Onwards! 🚀 #FastAPI #Python #BackendDevelopment #APIDevelopment #RESTAPI #WebDevelopment #Microservices #Swagger #AsyncProgramming #LearningJourney #ContinuousLearning #SoftwareEngineering #DeveloperJourney #CodeLearning #Programming #Python #Django #Docker #BackendDevelopment #WebDevelopment #FullStackDevelopment #FullStackDeveloper #SoftwareDevelopment #Programming #Coding #PythonDeveloper #DjangoDeveloper #DjangoORM #DjangoRESTFramework #DjangoProjects #RESTAPI #APITesting #AutomationTesting #QualityAssurance #BugFixing #Postman #TestCases #EmailAutomation #EmailIntegration #SMTP #SendGrid #NotificationSystem #ApplicationEmails #BackendFeatures #DockerCompose #Containerization #DevOps #CloudComputing #SoftwareDeployment #Microservices #ScalableSystems #100DaysOfCode #100DaysCodingChallenge #DailyCoding #CodingChallenge #CodeEveryday #LearningJourney #TechLearning #ContinuousLearning #KeepLearning #Upskilling #SelfLearning #PracticeMakesPerfect #BuildInPublic #LearningInPublic #PersonalProjects #RealWorldProjects #ProjectBasedLearning #DeveloperJourney #DeveloperLife #TechJourney #GrowthMindset #FromStudentToDeveloper #CareerGrowth #ITDevelopment #SoftwareEngineering #ProblemSolving

🚀 Full Stack Journey Day 38: Advanced Python - Encapsulation, Getters & Setters for Robust Classes! 🔐🐍 Day 38 of my #FullStackDevelopment learning series took a deep dive into a core OOP pillar: Encapsulation in Python, and how we achieve it using Getter and Setter methods! 🔒 This principle is vital for bundling data with the methods that operate on that data, controlling access, and protecting an object's internal state. Today's crucial advanced OOP topics covered: Encapsulation in Python: Explored the concept of encapsulation as the bundling of data (attributes) and methods that operate on that data within a single unit (a class). Understood how it hides the internal state of an object from the outside world, allowing only controlled access, which helps prevent accidental modification and improves maintainability. Learned about the convention of using single (_var) and double (__var) leading underscores for "private" (by convention) and "name-mangled" attributes, respectively. Setter Methods: Mastered setter methods. These are special methods used to modify the value of an object's private (or protected) attributes. Setters often include validation logic to ensure that new values are valid before they are assigned, providing a controlled way to update an object's state. Getter Methods: Dived into getter methods. These are used to retrieve the value of an object's private (or protected) attributes. Getters provide a controlled interface for reading an object's state without directly exposing its internal representation. Encapsulation, implemented effectively with getters and setters (or Python's @property decorator for more advanced use), is fundamental for creating secure, maintainable, and robust object-oriented designs. It's a cornerstone skill for any full-stack developer! 📂 Access my detailed notes here: 👉 GitHub: https://lnkd.in/gRCENQ8Z #Python #AdvancedPython #OOP #ObjectOrientedProgramming #Encapsulation #Getters #Setters #DataHiding #FullStackDeveloper #LearningToCode #Programming #TechJourney #SoftwareDevelopment #DailyLearning #CodingChallenge #Day38 LinkedIn Samruddhi P.

I recently revised Django from basics to advanced and converted my handwritten notes into a clean PDF , Sharing this with the community in case it helps anyone who’s learning Django or revising concepts for interviews. Topics covered include Django architecture, models, views, templates, ORM, authentication, DRF, and deployment basics. Feel free to download, share, and give feedback 🚀 #Django #Python #WebDevelopment #LearningInPublic #BackendDevelopment

Day 3 — Django Basics Focused on Templates and the Request–Response cycle today. Templates handle how data is presented to the user. Django follows a clear request → view → response flow, which makes the separation of logic and presentation very explicit. Starting to understand how Django connects backend logic with what the user actually sees. #Django #Python #BackendEngineering #WebDevelopment #SoftwareEngineering #LearningInPublic #100DaysOfCode #PythonDeveloper

🚀 6 Python Libraries That Transformed My Backend Development Workflow After years of building production-grade APIs, these are the tools I genuinely can’t live without. ✨ The best part? Once configured, most of them work silently in the background—improving performance, reliability, and scalability without adding complexity. 👉 Read the full breakdown here: https://lnkd.in/d_HD-uwu #Python #BackendDevelopment #SoftwareEngineering #Django #PostgreSQL #APIs