To speed up my code, I just decided to (finally) dive into Python’s async with statement. 🚀 In this article, you’ll find some of my learnings – let’s go! 👇 What Is Python Async With? Python’s async with statement is a way to work with asynchronous context managers, which can be really useful when dealing … Read more
I have just released another blog post with some of the most popular generative AI projects: 💡 Recommended: From Crafting Dog Portraits to Exposing Twitter Bots — 8 Unbelievable AI Innovations Shaking Up the World Today! 🐶🐦💡 The projects in this article I found after publishing the article but they are so exciting that I … Read more
If you are interested in natural language processing (NLP) and computer vision, you may have heard about MiniGPT-4. 🤖 This neural network model has been developed to improve vision-language comprehension by incorporating a frozen visual encoder and a frozen large language model (LLM) with a single projection layer. MiniGPT-4 has demonstrated numerous capabilities similar to … Read more
🖌️ Paws-itively Amazing: Creating a Masterpiece with AI 🐾 2023-04-16 How I Used Stable Diffusion and Dreambooth to Create A Painted Portrait of My Dog 🐶: Discover the dedication behind creating the perfect AI-generated portrait of a photogenic Golden Retriever named Queso. Learn how Jake Dahn used Dreambooth, Replicate, Lexica, Draw Things img2img, Automatic1111 inpainting, … Read more
Step 1: Create Your Gif GIFs, short for Graphics Interchange Format, are attention-grabbing! To create GIFs, you can use various online platforms such as Giphy (giphy.com) and Ezgif (ezgif.com) provide user-friendly interfaces to create and customize GIFs from images or video clips. I used PowerPoint to create a simple Gif: How to Make a Gif … Read more
You can click on the image or the link below to download your version of the Finxter Python OpenAI API Cheat Sheet for free (PDF format): 👇 🔒 Download Link: https://blog.finxter.com/wp-content/uploads/2023/04/Finxter_OpenAI_Python_API.pdf For more free cheat sheets and daily programming and tech emails on prompting, coding, artificial intelligence, and blockchain engineering, check out our free email … Read more
To generate an image, you need to create an account and API key if you haven’t already. You can learn more about this in my tutorial here: 👇 ✅ Recommended: OpenAI API Getting Started Do you have an API key? Great! To generate an image with DALL·E copy&paste the following code and replace your API … Read more
This code creates a simple Snake game using the Pygame library in Python. The game starts with a small snake moving around the screen, controlled by arrow keys, eating randomly placed food items. Each time the snake eats food, it grows longer, and the game gets faster. The game ends if the snake collides with … Read more
When working with ChatGPT, sometimes you might face issues with cut-off code. Don’t worry! 🤗 ChatGPT Code Length Limit Based on my experiments, the ChatGPT code length limit for GPT-4 is roughly 70 lines. This depends on the programming language and complexity of the program. A more complex program in a less space-efficient programming language … Read more
Setting up the Environment Before diving into web scraping with Python, set up your environment by installing the necessary libraries. First, install the following libraries: requests, BeautifulSoup, and pandas. These packages play a crucial role in web scraping, each serving different purposes.✨ To install these libraries, click on the previously provided links for a full … Read more
Are you tired of feeling boxed in by your Python plots and ready to break free from the constraints of traditional legend placement? In this guide, I’ll show you how to put legends outside your plot for (click to 🦘 jump): Let’s start with the first! 👇👩💻 Matplotlib Put Legend Outside Plot Let’s start with … Read more
To convert a list of tuples to a Pandas DataFrame, import the pandas library, call the DataFrame constructor, and pass the list of tuples as the data argument such as in pd.DataFrame(tuples_list, columns=[‘Number’, ‘Letter’]). Here’s a minimal example: The output of the given code will be a Pandas DataFrame with two columns, ‘Number’ and ‘Letter’, … Read more