July 03, 2026

Running Python Locally in a Sandbox

45 minutes

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.

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, a look at whether you’re 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.

Spotlight: Codex for Python Developers: Hands-On Agentic Coding Course

Most Python developers use AI as fancy autocomplete. This 2-day live course teaches you to build entire projects with Codex, an AI agent that works inside your codebase.

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 Videos Released

00:06:50 – Implementing Interfaces in Python: ABCs and Protocols

00:07:36 – Building Python Skills for the Job Market

00:08:21 – Context Engineering for Python Codebases

00:09:14 – Python for Data Analysis: A Practical Guide

00:09:47 – Using LlamaIndex for RAG in Python

00:10:07 – Django Tasks: Exploring the Built-in Tasks Framework

00:10:59 – Plugins Case Study: Pluggy

00:15:10 – Sponsor: DataDriven

00:15:57 – Pyodide 314.0 Release

00:18:54 – Python in a Sandbox With MicroPython and WASM

00:22:35 – The subprocess Module: Wrapping Programs With Python

00:30:08 – Spotlight: Codex for Python Developers

00:31:51 – Are You Expected to Run 5 Type-Checkers Now?

00:39:41 – starplot: ✨ Star charts and maps in Python

00:42:01 – marimo-tutorials: Collection of Marimo Tutorials

00:42:48 – pytrendy: Trend Detection in Python

00:44:35 – Thanks and goodbye

News:

PSF Board Election Dates for 2026

Python 3.15.0 beta 3 is here! - Python Insider

PEP 835: Shorthand Syntax for Annotated Type Metadata (Added)

Announcing the Search for a DSF Executive Director

Django 6.1 beta 1 released - Django Weblog

PyData London 26 Videos Released

Real Python News:

Implementing Interfaces in Python: ABCs and Protocols

Building Python Skills for the Job Market

Context Engineering for Python Codebases

Python for Data Analysis: A Practical Guide

Using LlamaIndex for RAG in Python

Django Tasks: Exploring the Built-in Tasks Framework

Topics:

Plugins Case Study: Pluggy – Pluggy is an open source plugin system used by frameworks such as pytest and tox. This article introduces you to how it works and what you can do with it.

Pyodide 314.0 Release – This post announces the Pyodide 314.0 release and describes its features, including a focus on standardization and packaging. You can now build Pyodide wheels and post them to PyPI.

Python in a Sandbox With MicroPython and WASM – Simon’s been in search of the perfect code sandbox. This article is about his latest attempt and covers why he wants a sandbox and what tech he’s used to achieve it.

The subprocess Module: Wrapping Programs With Python – Python’s subprocess module allows you to run shell commands and manage external processes directly from your Python code. By using subprocess, you can execute shell commands like ls or dir, launch applications, and handle both input and output streams.

Are You Expected to Run 5 Type-Checkers Now? – Library maintainers may feel overwhelmed by the plurality of type checkers that exist. We offer some guidance on how to focus their efforts where they matter most.

Projects:

starplot: ✨ Star charts and maps in Python

marimo-tutorials: Collection of Marimo Tutorials

pytrendy: Trend Detection in Python

Additional Links:

Episode #226: PySheets: Spreadsheets in the Browser Using PyScript

Datasette: An open source multi-tool for exploring and publishing data

Exploring Astrophysics in Python With pandas and Matplotlib

Using Astropy for Astronomy With Python

Investigating Quasar Data With Polars and Interactive marimo Notebooks

JupyterLite — JupyterLite 0.8.0 documentation

DataDriven - Data Engineer Interview Practice Problems

Level up your Python skills with our expert-led courses:

Using Astropy for Astronomy With Python

Using LlamaIndex for RAG in Python

Building Python Skills for the Job Market

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By Real Python

4.7

139139 ratings

July 03, 2026

Running Python Locally in a Sandbox

45 minutes

This episode is sponsored by DataDriven.

Spotlight: Codex for Python Developers: Hands-On Agentic Coding Course

Most Python developers use AI as fancy autocomplete. This 2-day live course teaches you to build entire projects with Codex, an AI agent that works inside your codebase.

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 Videos Released

00:06:50 – Implementing Interfaces in Python: ABCs and Protocols

00:07:36 – Building Python Skills for the Job Market

00:08:21 – Context Engineering for Python Codebases

00:09:14 – Python for Data Analysis: A Practical Guide

00:09:47 – Using LlamaIndex for RAG in Python

00:10:07 – Django Tasks: Exploring the Built-in Tasks Framework

00:10:59 – Plugins Case Study: Pluggy

00:15:10 – Sponsor: DataDriven

00:15:57 – Pyodide 314.0 Release

00:18:54 – Python in a Sandbox With MicroPython and WASM

00:22:35 – The subprocess Module: Wrapping Programs With Python

00:30:08 – Spotlight: Codex for Python Developers

00:31:51 – Are You Expected to Run 5 Type-Checkers Now?

00:39:41 – starplot: ✨ Star charts and maps in Python

00:42:01 – marimo-tutorials: Collection of Marimo Tutorials

00:42:48 – pytrendy: Trend Detection in Python

00:44:35 – Thanks and goodbye

News:

PSF Board Election Dates for 2026

Python 3.15.0 beta 3 is here! - Python Insider

PEP 835: Shorthand Syntax for Annotated Type Metadata (Added)

Announcing the Search for a DSF Executive Director

Django 6.1 beta 1 released - Django Weblog

PyData London 26 Videos Released

Real Python News:

Implementing Interfaces in Python: ABCs and Protocols

Building Python Skills for the Job Market

Context Engineering for Python Codebases

Python for Data Analysis: A Practical Guide

Using LlamaIndex for RAG in Python

Django Tasks: Exploring the Built-in Tasks Framework

Topics:

Plugins Case Study: Pluggy – Pluggy is an open source plugin system used by frameworks such as pytest and tox. This article introduces you to how it works and what you can do with it.

Projects:

starplot: ✨ Star charts and maps in Python

marimo-tutorials: Collection of Marimo Tutorials

pytrendy: Trend Detection in Python

Additional Links:

Episode #226: PySheets: Spreadsheets in the Browser Using PyScript

Datasette: An open source multi-tool for exploring and publishing data

Exploring Astrophysics in Python With pandas and Matplotlib

Using Astropy for Astronomy With Python

Investigating Quasar Data With Polars and Interactive marimo Notebooks

JupyterLite — JupyterLite 0.8.0 documentation

DataDriven - Data Engineer Interview Practice Problems