Mouse vs Python

Learn Python with a Book Designed for Beginners Hello! I’m Michael Driscoll, and I’m excited to announce the third edition of Python 101. For years, Python 101 has helped readers take their first steps into programming. Whether you’re a complete beginner, a student, or someone looking to learn Python for work or personal projects, the goal has always been the same: make learning Python approachable, practical, and enjoyable.

Have you ever wanted to create a presentation in your computer’s terminal? While this is an uncommon need, a clever open source developer has provided a solution to this problem! The project is called Spiel, and while it is currently archived, the idea is pretty cool. Spiel uses the Rich package to create the slides for your presentation. Note: while the GitHub page doesn’t explain why the project is archived, it appears to use a very old version of Textual which cannot be upgraded.

I am happy to announce that my latest book, Python Typing, is now available on all platforms. You can get your copy on Gumroad or Leanpub or Amazon Python has had type hinting support since Python 3.5, over TEN years ago! However, Python’s type annotations have changed repeatedly over the years. In Python Typing: Type Checking for Python Programmers, you will learn all you need to know to add type hints to your Python applications effectively.

It’s officially summer, and I am bringing you some HOT Python deals today! Get 33% off almost all my books and courses on Gumroad today using the following H5N5F7K You can start learning the basics of Python with Python 101, or get more targeted learning with my book, Python Logging. If you want to create a user interface, then you might enjoy Creating TUI Applications with Textual and Python.

In previous articles on this website, you learned how to extract EXIF data from JPG image files. This week, you will learn how to get similar data from the TIFF image format. The TIFF format also has its metadata. Pillow provides a similar dictionary for TIFF images in its TiffTags module.

Last month, you learned the basics of Textual’s DOM queries. If you missed it, you can read the article now! In this tutorial you will be learning about the following topics: The DOMQuery object Getting the first or last widget Query filters Query exclusions Other query methods Let’s get started! query[1] len(query) reverse(query) etc However, DOMQuery has additional methods of its very own. You can get a list of these methods using Python’s dir() function against the DOMQuery object.

I always thought it would be fun to create my own open source libraries or applications and distribute them somehow. When I started writing my book, Creating TUI Applications with Textual and Python, I took the plunge and wrote a helper package called textual-cogs, which is a collection of reusable dialogs and widgets for Textual. Right now, it is mostly just dialogs, but I do hope to add some widgets to it as well.

When you are developing a user interface, it can be valuable to have a log of what’s going on. Creating a log in Textual, a text-based user interface, is even easier than creating one for wxPython or Tkinter. Why?

In this article, you will learn how to query the DOM in Textual. You will discover that the DOM keeps track of all the widgets in your application. By running queries against the DOM, you can find widgets quickly and update them, too. You will be learning the following topics related to the DOM: The query one method Textual queries You will learn more in the second part of this series next week! You will soon see the value of working with DOM queries and the power that these queries give you.

You will sometimes come across examples of code that use one or two asterisks. Depending on how the asterisks are used, they can mean different things to Python. Check your understanding of what a single asterisk means in the following quiz! What will be the output if you run this code? numbers = range(3) output = {*numbers} print(output) A) {range} B) (range) C) [0, 1, 2] D) (0, 1, 2) E) {0, 1, 2} “Unpacking generalizations” is the term to look up if you get stuck..