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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 use the Flask Command Line Interface (CLI) to manage your Flask application. The Flask CLI provides a set of commands that can help you run the development server, create custom commands, and more.

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 lab, you will learn how to use Jinja2 templates in Flask. Jinja2 is a powerful template engine that allows you to generate dynamic HTML pages in your Flask application. Templates are a great way to separate the presentation logic from the business logic of your application.

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 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.

The Python Flask tutorial 'Working with the Shell' provides guidance on using the interactive shell in Flask to execute Python commands in real-time. This tutorial explains how to create a request context, fire before/after request functions, and improve the shell experience.

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 deploy a Flask application to a server. We will create a distribution file for our application and install it on the server. The lab assumes you have a basic understanding of Flask, Python's virtual environments, and the command line.

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 make a Python Flask project installable. This will make the project deployable and manageable using standard Python tools. This process is beneficial as it allows the project to be installed in different environments, manage dependencies, and isolate test environments.

In this lab, we'll walk through creating a blog application using Flask, a popular web framework in Python. This application will list all blog posts, allow logged-in users to create posts, and let authors edit or delete their own posts.

In this lab, we will learn how to add CSS to our Flask application to make it visually appealing. We will use static files, specifically a CSS file, to style our application. Static files are files that don't change, such as CSS files, JavaScript files, and images.