Python Advanced – Web series, designed for those ready to tackle complex web development challenges! We’ll start with Full-Stack Development, where you’ll learn to build both frontend and backend applications using powerful frameworks like Django, Flask, and FastAPI, along with creating asynchronous web apps using WebSockets. You’ll also explore essential concepts of authentication and authorization with OAuth and JWT. Next, delve into Advanced API Design & GraphQL, covering REST API best practices and how to implement GraphQL using Python libraries like Graphene for flexible data querying. Then, we’ll discuss Scalability & High Availability, focusing on caching strategies with Redis and Memcached, load balancing, reverse proxying with NGINX, and managing message queues using RabbitMQ and Celery. Finally, you’ll learn about Containerization & Serverless architectures, including deploying Python applications on AWS Lambda and GCP Cloud Functions, and utilizing API Gateway and Serverless Framework for efficient application management. Get ready to enhance your web development skills and create powerful, scalable applications!
Full-stack development is a crucial skill in modern web development, requiring expertise in both frontend and backend technologies. Python, with its powerful frameworks—Django, Flask, and FastAPI—offers versatile solutions for developing robust and scalable web applications. In this article, we will explore building full-stack applications with Python, focusing on: By the end of this guide, you […]
In modern web development, designing efficient and scalable APIs is critical for ensuring seamless data communication between clients and servers. REST APIs have long been the standard, but GraphQL has emerged as a powerful alternative, providing flexible and efficient querying mechanisms. This article explores: By the end of this guide, you’ll have an advanced understanding
As web applications grow in complexity and user base, ensuring scalability and high availability becomes a critical concern. Without proper architectural decisions, applications can suffer from slow response times, downtime, and security vulnerabilities. In this post, we will dive deep into advanced techniques that help scale Python web applications efficiently. We will explore: By the
The shift towards serverless computing and containerization has revolutionized how applications are deployed, managed, and scaled. Python, being one of the most popular languages for web applications and automation, seamlessly integrates with AWS Lambda, Google Cloud Functions (GCP), and API Gateway, making it an excellent choice for serverless architectures. In this article, we will explore:
This capstone project will guide you through building a Web Intelligence Solution, Intelligence agencies require secure and scalable full-stack platforms to handle classified communications, data analysis, and real-time threat monitoring. This project demonstrates a high-security, full-stack Python application with a focus on authentication, real-time web interactions, advanced API design, and scalability. Objective: Build a secure
