FastAPI with Tortoise ORM for Asynchronous APIs

FastAPI with pytest-asyncio: Testing Asynchronous APIs In the rapidly evolving world of web development, building high-performance APIs is crucial. FastAPI, with its asynchronous capabilities and modern Python syntax, has emerged as a popular choice for developers. However, writing robust and reliable APIs requires rigorous testing. This is where pytest-asyncio comes in, providing a seamless way to test asynchronous FastAPI applications. Why Test Asynchronous APIs? Asynchronous programming allows your API to handle multiple requests concurrently, leading to improved performance and responsiveness....

IDE vs. Code Editor – Understanding the Difference Python in 2026: IDE or Code Editor? The Choice Matters More Than You Think. Every Python developer starts with the same question: What do I write my code in? The answer used to be simple. Today, the landscape is more nuanced, and the choice between an IDE and a code editor defines your workflow. Let us clarify the difference. An Integrated Development Environment, or IDE, is a comprehensive toolkit. It bundles a text editor with a debugger, build automation tools, version control integration, and often a profiler. Everything comes in one package, ready to work together. PyCharm is the classic example. It understands your code deeply, points out errors as you type, and manages complex projects out of the box . A code editor is the lightweight alternative. Tools like Visual Studio Code or Sublime Text start simple. They are fast, flexible, and customizable. But they require plugins and extensions to gain IDE-like features. You build your own environment piece by piece . So which path is right for you? Choose a full IDE like PyCharm if you want everything configured from day one. It is ideal for large, organized projects where structure matters and you prefer a batteries-included approach . Choose a code editor like VS Code if you value speed and customization. You can add exactly what you need and nothing more. It scales from simple scripts to microservices, especially with its Python extension and Jupyter support . The right tool depends on your project and your preferences. There is no single correct answer. But understanding the trade-offs between a complete IDE and a modular editor will save you hours of frustration. What is your daily driver for Python development and why? #Python IDEs CodeEditors VS Code #PyCharm DeveloperTools Programming Productivity

Object-Oriented Programming (OOP) is one of the most important concepts in software development. Today, I strengthened my understanding of OOP in JavaScript by practicing: Classes Constructors Inheritance (extends) Parent constructor using super () Working with real examples like Employee and Manager classes helped me understand how real-world relationships are implemented in code. Here is a simple example I practiced: class Employee {   constructor(name, salary){     this.name = name;     this.salary = salary;   }   work(){     console.log(`${this.name} is working`);   } } class Manager extends Employee {   constructor(name, salary, department){     super(name, salary);     this.department = department;   }   manage(){     console.log(`${this.name} manages ${this.department}`);   } } let M1 = new Manager("Pankaj", 2000, "IT"); M1.work(); M1.manage(); OOP makes code more structured, reusable, and scalable. Continuously improving my JavaScript fundamentals 🚀 #JavaScript #OOP #Programming #LearningJourney

FastAPI with Pytest: Effective API Testing for Beginners In the world of web development, building APIs is just the beginning. Ensuring that your API functions as expected, handles various scenarios gracefully, and remains robust against changes is paramount. This is where testing comes in. Testing is not just a good practice; it's a necessity for creating reliable and maintainable APIs. In this tutorial, we'll dive deep into testing FastAPI applications using Pytest, a powerful and versatile testing framework for Python....

🚀 Excited to share my new open-source project: PyArchitect! 🏗️ As developers, we know that as Django and Python projects grow, it becomes increasingly difficult to keep track of architectural integrity. Things get messy: views import models directly, files grow to 1,000+ lines, and circular dependencies start causing absolute chaos. 🤯 That's exactly why I built PyArchitect, an intuitive command-line and web dashboard tool designed to automatically analyze your project's architecture! Here is what it can do out-of-the-box: ✅ Circular Dependency Detection: Highlights exact import loops so you can easily break them. ✅ Architecture Rule Engine: Warns you when you break standard patterns (e.g., if a models.py imports a views.py). ✅ Complexity Metrics: Immediately flags overflowing files with too many classes or specific excessively long functions. ✅ Interactive UI: Launch the web dashboard via pyarchitect --web for a premium glassmorphic interface that delivers real-time analytics! Best part? It parses your code purely through abstract syntax trees (AST)! 🌳 Whether you want to enforce rules across your team or just tidy up your side projects, check it out and give it a spin! 🔗 GitHub Repository: https://lnkd.in/dYu9XTTc I would love your feedback and contributions. Let me know what architectural rules you'd like to see added next! 👇 #Python #Django #OpenSource #SoftwareArchitecture #DeveloperTools #CodeQuality #PyArchitect #TechInnovation

How I install Django in 2026. Based on the Django documentation: https://lnkd.in/dE2xn2Pv Django Tutorial Project - Terminal > python --version Python 3.x.x > python -m ensurepip --upgrade > python -m venv env > source env/bin/activate (env) > python -m pip install --upgrade pip (env) > python -m pip install "Django>=6,<7" (env) > python -m django --version (env) > django-admin startproject config . (env) > python manage.py migrate (env) > python -m pip freeze > requirements.txt (env) > python manage.py runserver If you need to fix your Python version: deactivate rm -r env py -3.14 -m venv env source env/Scripts/activate python -m pip install --upgrade pip python --version If you need to fix your Django version: python -m pip install --upgrade pip python -m pip install --upgrade "Django>=6,<7" python -m django --version Dive deep. Fly high. Django Deep Dive - Engineering from the foundations up. #Django #Python #Backend #DeepDive #SoftwareDevelopment

Django – A Powerful Python Web Framework Django is a high-level Python web framework that enables developers to build secure, scalable, and maintainable web applications quickly. It follows the MVT (Model–View–Template) architecture, which separates application logic, data management, and presentation. 🔹 Key Features of Django • Rapid development with built-in tools • Powerful ORM for database interaction • Built-in Admin Panel for easy data management • URL routing and template engine • Authentication and security features 🔹 Why Django is Popular ✔ Secure by default ✔ Less code, more productivity ✔ Highly scalable for large applications ✔ Strong community support Django is widely used to build web applications, REST APIs, and enterprise platforms because it helps developers focus on innovation rather than repetitive coding. 💡 Learning frameworks like Django strengthens backend development skills and opens opportunities to build powerful real-world applications. #Django #Python #BackendDevelopment #WebDevelopment #Programming #SoftwareDevelopment #TechLearning

There is a website you use regularly that has no Application Programming Interface (API). You want to automate your interactions with it — searching for people, managing your profile, sending messages. The traditional approach would be to spend days reverse-engineering the site’s Hypertext Markup Language (HTML) structure, writing a scraper, building a command-line interface (CLI), setting up tests, configuring Continuous Integration (CI), and deploying. What if you could do all of that in under ninety minutes, producing a well-tested, well-structured Python package with over two hundred tests and nearly five thousand lines of code? This essay describes exactly that process. It is not theoretical. Every claim here is verifiable from session logs, git history, and GitHub pull request records. The project is a Python CLI tool managed with uv (a fast Python package manager from Astral) for a website that has no public API. The tool uses authenticated Hypertext Transfer Protocol (HTTP) requests, scrapes HTML responses with BeautifulSoup, validates data with Pydantic models, and presents results through a Click command-line interface. It was built from a template project to a working tool with auth, search, and member-view commands in eighty-four minutes of wall-clock time. https://lnkd.in/giC9RzsP

FastAPI with Pytest: A Comprehensive Guide for API Testing In the world of web development, building APIs has become a cornerstone of modern applications. FastAPI, with its speed and ease of use, has quickly become a favorite for developers looking to create efficient and robust APIs. But building an API is only half the battle. Ensuring its reliability, functionality, and security is where testing comes in. This is where Pytest, a powerful and versatile testing framework for Python, shines....

🚀 Day 71 – Emergency Alert Button & Backend API Continuing the development of my project in the 90 Days of Python Full Stack journey, today I implemented the core functionality of the system — the Emergency Alert trigger. 📌 Project: Real-Time Emergency Alert & Live Location Sharing System This feature allows users to instantly send an emergency alert when they are in a dangerous situation. With a single action, the system records the alert and prepares it for further processing such as location tracking and notifications. 🔹 Work completed today • Created an API endpoint to handle emergency alert requests • Implemented the Emergency Alert button logic • Connected the alert system with authenticated users • Stored alert details in the database • Linked each alert with user information and timestamp 🔹 System Workflow User clicks Emergency Alert Button ⬇ Request sent to Django backend ⬇ Alert is created and stored in database ⬇ System prepares for location detection and notification process 🔹 Why this step is important This is the core feature of the entire application. With this implementation: ✔ Users can trigger alerts instantly ✔ Backend can capture emergency events ✔ System is ready for real-time location tracking ✔ Foundation is set for sending notifications to admin and guardians 📌 Day 71 completed — implemented the emergency alert trigger system. #90DaysOfPython #PythonFullStack #Django #BackendDevelopment #APIDevelopment #ProjectDevelopment #LearningInPublic