Best of Planet Python — November 2024

1. 1
   Article

   Planet Python·1y

   Python in Visual Studio Code

   The November 2024 release of the Python, Pylance, and Jupyter extensions for Visual Studio Code introduces several new features like generating docstrings with Pylance, new commands for folding and unfolding docstrings, import suggestions with aliases from user files, and an experimental AI Code Action for implementing abstract classes. It also updates the REPL variables view and announces the upcoming deprecation of Python 3.8 support. Users can explore these features by updating their extensions and reviewing the changelogs.

   68

   2
2. 2
   Article

   Planet Python·1y

   From React to a Django+HTMX based stack

   Learn about Sheena O'Connell's journey of moving from a React-Django application to a pure Django with HTMX stack. Discover a real-world success story, lessons learned, and relevant resources including workshops, courses, and tools related to HTMX and Django development.

   41
3. 3
   Article

   Planet Python·1y

   Creating Reusable Dialogs for Textual

   Textual-cogs offers a collection of reusable dialogs for Textual applications, including MessageDialog, SaveFileDialog, SingleChoiceDialog, and TextEntryDialog. Installing the package is straightforward using pip, and example usages demonstrate how to implement these dialogs in your applications easily, enhancing development efficiency.

   26

   1
4. 4
   Article

   Planet Python·1y

   Python's pathlib module

   Python's pathlib module offers a powerful way to handle file paths effortlessly across different platforms. It provides a comprehensive set of methods for common path-related operations like reading/writing files, joining paths, getting file attributes, and more. Unlike older methods from the os.path module, pathlib makes the code more readable and cross-platform compatible, improving the overall development experience.

   23
5. 5
   Article

   Planet Python·1y

   Meaningful automation in Python

   Zato is a Python-based open-source platform for automation, integrations, and interoperability. Designed for industries needing robust backend solutions, it facilitates the connection of various data sources and systems, offering high performance and secure services deployable in the cloud or on premises. Key features include service-oriented design, reusability, and high availability, making it suitable for telecommunications, healthcare, government, and more. Python's flexibility and readability further enhance its utility in creating scalable, maintainable solutions.

   20