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Build Your Own Link Tree with React, Next JS, Tailwind, and Typescript

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Let’s see wifi password using python

Hey guys, welcome to the world of Python and wifi hacking… just kidding! In this article, we will be taking a look at a Python script that can be used to view the Wi-Fi password for a network you are currently connected to. The script uses the subprocess module to run the command netsh wlan show profile [network name] key=clear. This command retrieves information about the specified network and the stdout=subprocess.PIPE redirects the output to a variable. The output is then decoded and stored in the output variable. After that, the script splits the output into a list of lines, and iterates through each line. If a line contains the string “Key Content”, the script extracts the wifi password from the line and prints it. Here’s the full script for your reference: import subprocess network_name = "Your_Network_Name" result = subprocess.run([ 'netsh' , 'wlan' , 'show' , 'profile' , network_name, 'key=clear' ], stdout =subprocess.PIPE) ou

Build Your Own Link Tree with React, Next JS, Tailwind, and Typescript

Forget about Link tree, it’s time to build your own custom link tree! And with the magic of Typescript, Next.js, and Tailwind CSS, you’ll have a tree that’s both functional and fashionable. Live Site Linktree CLone First things first, you’ll need to clone the repository from Github. Just head on over to https://github.com/Pandeyashish17/linktree-clone-using-typescript-and-nextjs-app-dir and hit the “Clone or download” button. Copy the link and use your favorite Git tool to clone the repository to your local machine. Or, if you’re feeling adventurous, you can teleport the repository directly onto your computer using your mind powers (just kidding, don’t do that). Next, it’s time to install the dependencies. Make sure you have Yarn installed or NPM , then navigate to the project directory and run the following command: yarn or do npm install This will install all the necessary Node modules for the project, including Tailwind CSS for styling. Now it’s time to customize your link tree! O

Let’s built an image generator using openai Dall-e and flask python - Ashish Pandey

In this article, I will show you how to use the OpenAI Image Generator in a web application built with the Flask framework. The OpenAI Image Generator is a deep learning model that can generate images from text prompts, making it a powerful tool for creating custom images for various purposes such as website backgrounds, illustrations, or even creating data sets for machine learning. Photo by Jason Leung on Unsplash The first step is to install the necessary libraries. You will need to install Flask, the web framework we will be using to build the application and openai, the python library that provides access to the OpenAI API. You can install them by running the following command: pip install flask openai Next, you will need to create a new Flask application and define a route for it. The following code sets up a basic Flask application and defines a single route that generates an image when accessed. from flask import Flask, render_template import openai app = Flask(__name__)

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