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How do you avoid the risk of running a Python application locally that could be malicious, break your code, or leak private data? How can you create a sandboxed local environment using WASM and MicroPython? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
👉 Links from the show:
We cover a recent article by previous guest Simon Willison titled "Running Python code in a sandbox with MicroPython and WASM." Simon has been experimenting for years on how to run Python code in a sandbox to reduce the risk of trying out new software, untrusted libraries, and wild ideas. He's developed a solution using WASM and MicroPython and is sharing it as an alpha package on PyPI.
We also share other articles and projects from the Python community, including new releases, community announcements, a roundup of recent Real Python tutorials and video courses, a plugin case study using Pluggy, are you expected to run five type-checkers now, wrapping programs using the subprocess module, a project for star charts and maps, and a tool for trend detection in Python.
This episode is sponsored by DataDriven: (
Topics:
- 00:00:00 -- Introduction
- 00:02:48 -- PSF Board Election Dates for 2026
- 00:03:28 -- Python 3.15.0 beta 3 is here!
- 00:03:58 -- PEP 835: Shorthand Syntax for Annotated Type Metadata
- 00:05:13 -- Announcing the Search for a DSF Executive Director
- 00:05:53 -- Django 6.1 beta 1 released
- 00:06:24 -- PyData London 26
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2026/07/03
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