Make Python output cleaner: PrettyPrinter

PrettyPrinter is a powerful and expressive pretty-printing library for Python 3.6 and above. It utilizes an enhanced Wadler-Leijen layout algorithm, similar to the one used in Haskell’s prettyprinter and other tools like anti-wl-pprint, JavaScript's Prettier, Ruby's prettypreinter.rb, and IPython’s Ipython.lib.pretty. By building on the strengths of these tools and improving upon them, PrettyPrinter has become the most advanced and flexible solution for formatting output in Python. Here’s a screenshot of the output using PrettyPrinter:

Why does Python need an extra pretty-printing package? The way data is printed to the screen is one of the most fundamental interactions between developers and their programs. Improving this interface can significantly enhance the development experience and productivity. While Python itself and third-party libraries offer some tools for this purpose, they often fall short in terms of flexibility and customization. The `__repr__` and `__str__` methods return simple strings, with `__repr__` aiming to be as close to valid Python syntax as possible. However, these methods are not designed for formatting or beautification. The standard `pprint` module offers basic formatting for built-in types, but it uses a greedy algorithm that may not always produce the best results. Third-party alternatives like `pprintpp` improve on this, but still face limitations due to reliance on `__repr__`. IPython’s `IPython.lib.pretty` offers a more advanced alternative, providing better formatting and support for custom types. However, it requires understanding of layout algorithms and has some API side effects that can complicate usage. Faced with these limitations, I developed PrettyPrinter to provide a more intuitive, powerful, and customizable solution. It focuses on producing clean, readable output without sacrificing performance. Even if it takes a fraction of a second longer to format, it can save valuable time when debugging or analyzing complex data structures. One of the key features of PrettyPrinter is its simple, descriptive API. Instead of requiring users to override `__repr__`, it allows for defining how objects should be printed through a set of easy-to-use functions like `register_pretty` and `pretty_call`. This makes it much easier to customize the output for user-defined types without getting bogged down by complex syntax. Another notable feature is the ability to add explanatory comments to instances, allowing you to show additional information about an object’s state. For example, you can annotate a `Connection` class to indicate whether it is connected or disconnected, and have that information displayed directly in the output. Here’s a quick example of how you might define a custom pretty printer for a class: ```python from prettyprinter import register_pretty, pretty_call @register_pretty(MyClass) def pretty_myclass(obj, ctx): return pretty_call(ctx, "MyClass", obj.arg1, obj.arg2) ``` This will generate a formatted output that clearly represents the object’s structure and content. In conclusion, PrettyPrinter is a must-have tool for any Python developer looking to improve their debugging workflow. It integrates seamlessly with IPython and provides a clean, readable output that makes working with complex data structures much easier. If you use Django models, QuerySets, or classes created with `attrs`, you’ll find that PrettyPrinter already supports them out of the box. You can find the source code on GitHub and the documentation on Read the Docs. Whether you're a seasoned developer or just starting out, PrettyPrinter is definitely worth trying!

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