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Describe any image, then let a computer create it for you. What sounded futuristic only a few years ago has become reality with advances in neural networks and latent diffusion models (LDM). DALL·E by OpenAI has made a splash through the amazing generative art and realistic images that people create with it.

OpenAI allows access to DALL·E through their API, which means that you can incorporate its functionality into your Python applications.

In this tutorial, you’ll:

• Get started using the OpenAI Python library
• Explore API calls related to image generation
• Create images from text prompts
• Create variations of your generated image
• Convert Base64 JSON responses to PNG image files

You’ll need some experience with Python, JSON, and file operations to breeze through this tutorial. You can also study up on these topics while you go along, as you’ll find relevant links throughout the text.

Get Your Code: Click here to download the free sample code that you’ll use to generate stunning images with DALL·E and the OpenAI API.

Take the Quiz: Test your knowledge with our interactive “Generate Images With DALL·E and the OpenAI API” quiz. You’ll receive a score upon completion to help you track your learning progress:

Interactive Quiz

Generate Images With DALL·E and the OpenAI API

In this quiz, you'll test your understanding of generating images with DALL·E by OpenAI using Python. You'll revisit concepts such as using the OpenAI Python library, making API calls for image generation, creating images from text prompts, and converting Base64 strings to PNG image files.

Complete the Setup Requirements

If you’ve seen what DALL·E can do and you’re eager to make its functionality part of your Python applications, then you’re in the right spot! In this first section, you’ll quickly walk through what you need to do to get started using DALL·E’s image creation capabilities in your own code.

Install the OpenAI Python Library

Confirm that you’re running Python version 3.7.1 or higher, create and activate a virtual environment, and install the OpenAI Python library:

• Windows
• Linux + macOS

Windows PowerShell PS> python --version Python 3.12.5 PS> python -m venv venv PS> .\venv\Scripts\activate (venv) PS> python -m pip install openai Copied! Shell $ python --version Python 3.12.5 $ python -m venv venv $ source venv/bin/activate (venv) $ python -m pip install openai Copied!

The openai package gives you access to the full OpenAI API. In this tutorial, you’ll focus on image generation, which lets you interact with DALL·E models to create and edit images from text prompts.

Get Your OpenAI API Key

You need an API key to make successful API calls. Sign up with OpenAI and create a new project API key by clicking on the Dashboard menu and then API keys on the bottom left of the navigation menu:

On this page, you can create and manage your API keys, which allow you to access the service that OpenAI offers through their API. You can create and delete secret keys.

Click on Create new secret key to create a new API key, and copy the value shown in the pop-up window.

Note: OpenAI assigns your API usage through unique key values, so make sure to keep your API key private. The company calculates the pricing of requests to generate images on a per-image basis that depends on the model you use and the resolution of the output image.

Keep in mind that OpenAI’s API services and pricing policies may change. Be sure to check their website for up-to-date information about pricing and offers.

Always keep this key secret! Copy the value of this key so you can later use it in your project. You’ll only see the key value once.

Save Your API Key as an Environment Variable

A quick way to save your API key and make it available to your Python scripts is to save it as an environment variable. Select your operating system to learn how:

• Windows
• Linux + macOS

Windows PowerShell (venv) PS> $ENV:OPENAI_API_KEY = "<your-key-value-here>" Copied! Shell (venv) $ export OPENAI_API_KEY="<your-key-value-here>" Copied! Read the full article at https://realpython.com/generate-images-with-dalle-openai-api/ »

[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

libffcall version 2.5 is released.

New in this release:

• Added support for the following platforms: (Previously, a build on these platforms failed.)
  • loongarch64: Linux with lp64d ABI.
  • riscv64: Linux with musl libc.
  • hppa: Linux.
  • powerpc: FreeBSD, NetBSD.
  • powerpc64: FreeBSD.
  • powerpc64le: FreeBSD.
  • arm: Android.

• Fixed support for the following platforms: (Previously, a build on these platforms appeared to succeed but was buggy.)
  • ia64: Linux.
  • arm64: OpenBSD.

• Simplified the environmental requirements (the library no longer allocates a temporary file in /tmp) on the following platforms:
  • Linux.
  • macOS.
  • FreeBSD 13 and newer.
  • NetBSD 8 and newer.

Beer, cake and ISO testing amidst rugby and jazz band chaos

On Saturday, the Debian South Africa team got together in Cape Town to celebrate Debian’s 31st birthday and to perform ISO testing for the Debian 11.11 and 12.7 point releases.

We ran out of time to organise a fancy printed cake like we had last year, but our improvisation worked out just fine!

We thought that we had allotted plenty of time for all of our activities for the day, and that there would be plenty of time for everything including training, but the day zipped by really fast. We hired a venue at a brewery, which is usually really nice because they have an isolated area with lots of space and a big TV – nice for presentations, demos, etc. But on this day, there was a big rugby match between South Africa and New Zealand, and as it got closer to the game, the place just got louder and louder (especially as a band started practicing and doing sound tests for their performance for that evening) and it turned out our space was also double-booked later in the afternoon, so we had to relocate.

Even amidst all the chaos, we ended up having a very productive day and we even managed to have some fun!

Four people from our local team performed ISO testing for the very first time, and in total we covered 44 test cases locally. Most of the other testers were the usual crowd in the UK, we also did a brief video call with them, but it was dinner time for them so we had to keep it short. Next time we’ll probably have some party line open that any tester can also join.

Logo

We went through some more iterations of our local team logo that Tammy has been working on. They’re turning out very nice and have been in progress for more than a year, I guess like most things Debian, it will be ready when it’s ready!

Debian 11.11 and Debian 12.7 released, and looking ahead towards Debian 13

Both point releases tested just fine and was released later in the evening. I’m very glad that we managed to be useful and reduce total testing time and that we managed to cover all the test cases in the end.

A bunch of things we really wanted to fix by the time Debian 12 launched are now finally fixed in 12.7. There’s still a few minor annoyances, but over all, Debian 13 (trixie) is looking even better than Debian 12 was around this time in the release cycle.

Freeze dates for trixie has not yet been announced, I hope that the release team announces those sooner rather than later, also KDE Plasma 6 hasn’t yet made its way into unstable, I’ve seen quite a number of people ask about this online, so hopefully that works out.

And by the way, the desktop artwork submissions for trixie ends in two weeks! More information about that is available on the Debian wiki if you’re interested in making a contribution. There are already 4 great proposals.

Debian Local Groups

Organising local events for Debian is probably easier than you think, and Debian does make funding available for events. So, if you want to grow Debian in your area, feel free to join us at #debian-localgroups on the OFTC IRC network, also plumbed on Matrix at #debian-localgroups:matrix.debian.social – where we’ll try to answer any questions you might have and guide you through the process!

Oh and btw… South Africa won the Rugby!

In this quiz, you’ll test your understanding of How to Use Conditional Expressions With NumPy where().

By working through the questions, you’ll consolidate the knowledge you gained from the tutorial and take yourself beyond what you learned.

To answer some of the questions, you’ll need to do some research outside of the tutorial itself. Embrace this challenge because exploration can take you on a valuable learning journey.

[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

In this quiz, you’ll test your understanding of generating images with DALL·E by OpenAI API using Python.

By working through this quiz, you’ll revisit how to use the OpenAI Python library, make API calls related to image generation, create images from text prompts, create variations of an image, and convert Base64 strings to PNG image files.

[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

Mobile Apps Powered by Drupal Backend (Android, iOS) Editor Mon, 09/02/2024 - 13:24

There are new CMSs coming into the market almost every year. Aggregation of ratings and other dull figures are carried out to see how they match with each other. However, there is a solo survivor – Drupal among the rest. While this CMS has competed for the Viewers' Choice Awards for the last 10 years, its ratings have not ceased to soar. It has been used to build sites for UNICEF, Teach for America (website of the US Department of Education), Le Figaro (a well-known French newspaper), and others.

Airport integrations in Python 2024-09-02, by Dariusz Suchojad

Did you know you can use Python as an integration platform for your airport systems? It's Open Source too.

From AODB, transportation, business operations and partner networks, to IoT, cloud and hybrid deployments, you can now use Python to build flexible, scalable and future-proof architectures that integrate your airport systems and support your master plan.

➤ Read here about what is possible and learn more why Python and Open Source are the right choice.

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