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Remote memory profiling with Memray

Memray is a memory profiler for Python, built by some very smart devs at Bloomberg. It is a fantastic tool to identify memory leaks in your code or other libraries (down to the C level)!

They recently added a Textual interface which looks amazing, and lets you monitor your process right from the terminal:


Things I learned building a text editor for the terminal

TextArea is the latest widget to be added to Textual's growing collection. It provides a multi-line space to edit text, and features optional syntax highlighting for a selection of languages.


Adding a TextArea to your Textual app is as simple as adding this to your compose method:

yield TextArea()

Enabling syntax highlighting for a language is as simple as:

yield TextArea(language="python")

Working on the TextArea widget for Textual taught me a lot about Python and my general approach to software engineering. It gave me an appreciation for the subtle functionality behind the editors we use on a daily basis — features we may not even notice, despite some engineer spending hours perfecting it to provide a small boost to our development experience.

This post is a tour of some of these learnings.

To TUI or not to TUI

Tech moves pretty fast. If you don’t stop and look around once in a while, you could miss it. And yet some technology feels like it has been around forever.

Terminals are one of those forever-technologies.

No-async async with Python

A (reasonable) criticism of async is that it tends to proliferate in your code. In order to await something, your functions must be async all the way up the call-stack. This tends to result in you making things async just to support that one call that needs it or, worse, adding async just-in-case. Given that going from def to async def is a breaking change there is a strong incentive to go straight there.

Before you know it, you have adopted a policy of "async all the things".