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In the previous project, we developed a Python port scanner that leveraged threading and sockets to scan TCP ports. While effective, there's room for improvement using third-party packages.

This project guides you through creating a simple URL shortener service using Flask and MySQL. You'll learn to set up a database, design a web interface, and implement functionality to shorten URLs, search for URLs by tags, and view analytics. The project is beginner-friendly and offers a comprehensive insight into web development with Python and database management.

This project guides you through the process of deploying a pre-trained MobileNetV2 model using TensorFlow.js within a Flask web application. MobileNetV2 is a lightweight deep neural network used primarily for image classification. TensorFlow.js enables running machine learning models directly in the browser, allowing for interactive web applications. Flask, a Python web framework, will serve as the backend to host our application. By the end of this project, you will have a running web application that classifies images on the fly using the MobileNetV2 model.

In this project, we will learn how to create a URL shortener using Python and Flask. A URL shortener is a tool that takes a long URL and converts it into a shorter, more manageable URL. This can be useful for sharing links on social media or in emails, as well as making long URLs more user-friendly.

In this project, we will learn how to build a REST API in Flask using SQLite as the database. We will start by creating a sample SQLite database and populating it with some data. Then, we will build a Flask application with endpoints to perform CRUD (Create, Read, Update, Delete) operations on the data in the SQLite database.

In this lab, you will learn how to test Flask applications using the pytest framework. Testing is an important part of the software development process, as it helps to ensure the correctness and reliability of your application. Flask provides utilities for testing, making it easy to write tests for different parts of your application.

This lab will guide you through the process of using async and await in Flask, a popular Python web framework. You will learn how to define asynchronous views and handlers, understand the performance implications of using async code, and explore background tasks in Flask.

In this lab, we will walk through how to create and use Flask blueprints to structure your application using views. Flask blueprints allow you to group related views, code, and resources together making your application modular and scalable. We will create a simple application which will include user authentication and blog posts functionality.

In this lab, we will learn how to write unit tests for a Flask application. We will use pytest and coverage to test and measure our code. By the end of this lab, you will understand how to ensure your application works as expected and identify areas that need improvement.

In this lab, we will learn how to define and access a SQLite database using the Python Flask framework. We will set up a SQLite database, establish a connection with it, create tables, and initialize the database.

This Lab will guide you through the process of setting up a basic Flask application. Flask is a lightweight web application framework for Python. It's designed to make getting started with web development quick and easy.

This lab will guide you through the process of getting started with Flask, a lightweight web framework for Python. You will learn how to create a basic Flask application, run it locally, and understand the basic concepts of routing and rendering templates.

In this lab, we will explore important security considerations when developing web applications using Flask. We will cover topics such as Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), JSON security, security headers, and secure cookie options. By following these steps, you will learn how to enhance the security of your Flask applications.

In this lab, you will learn how to use signals in Flask, which are a lightweight way to notify subscribers of certain events during the lifecycle of the application and each request. Signals allow you to perform actions in response to specific events without directly affecting the application code. They are useful for testing, metrics, auditing, and more.

In this tutorial, you will learn how to use the development server in Flask to run your Flask application during local development. The development server provides an interactive debugger and automatically reloads the code when changes are made. This tutorial will guide you through the steps to run the development server and handle common issues that may arise.

Generating HTML from within Python is not fun, and actually pretty cumbersome because you have to do the HTML escaping with escape on your own to keep the application secure. Because of that Flask configures the Jinja2 template engine for you automatically. Templates can be used to generate any type of text file. For web applications, you’ll primarily be generating HTML pages, but you can also generate markdown, plain text for emails, and anything else.

In this lab, you will learn how to handle configuration in a Flask application. Configuration allows you to change settings in your application based on different environments, such as toggling debug mode, setting secret keys, and other environment-specific variables.

In this lab, we will learn how to create and use templates in Flask. Templates are a crucial part of web applications. They allow us to generate dynamic HTML pages that can display different data each time they are loaded. We'll be using the Jinja2 template engine that comes bundled with Flask.