Getting Started

Download and Launch

Pyodios is available on the App Store. Tap the badge below to download:

Once installed, tap the Pyodios icon on your home screen to open the app. On first launch, you’ll see a loading screen with a progress bar while the Pyodide runtime initializes. This takes 5–15 seconds.

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iPad

Subsequent launches are faster because your device caches the initialized Pyodide runtime.

Try Your First Python Command

Once loading completes, you land on the Notebook tab, a blank canvas ready for Python code. Create a new code cell and type the following, then tap the button to run it:

print("Hello, Pyodios!")
x = 42
x

Notice how the output appears inline beneath the cell: printed text, return values, and any errors are displayed directly in the notebook.

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iPad

The flow: Start with a blank notebook, type Python code in a cell, tap run, and see the output inline. Print statements, return values, and errors each appear directly below the cell.

Now try adding a second cell with some math:

import math
print(f"sqrt({x}) = {math.sqrt(x):.4f}")
print(f"pi = {math.pi:.6f}")

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iPad

Create Your First Plot

Ready to visualize data? Type the following in a new code cell and tap :

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 2 * np.pi, 100)
plt.figure(figsize=(8, 4))
plt.plot(x, np.sin(x), label="sin(x)", linewidth=2)
plt.plot(x, np.cos(x), label="cos(x)", linewidth=2)
plt.title("Trigonometric Functions")
plt.xlabel("x")
plt.ylabel("y")
plt.legend()
plt.grid(True, alpha=0.3)
plt.show()

The plot renders inline in your notebook. You can also switch to the Plots tab to see all your visualizations. Pinch to zoom and tap to share.

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iPad

Install a Package

Want more capabilities? Go to the Packages tab and install from PyPI via micropip:

1. Open the Packages tab (under More on iPhone) with the Installed segment selected
2. In the Install Package via micropip section at the top, type a package name (e.g., pandas)
3. Tap Install

The installed package then appears in the Installed Packages list below.

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iPad

You can also install packages programmatically by running import micropip; await micropip.install("pandas") in a notebook cell or the Console.

Not all PyPI packages are available. Only pure-Python packages or those with Pyodide WebAssembly builds are supported. Most popular packages like numpy, pandas, matplotlib, scipy, and scikit-learn are available. Check the Pyodide package list for the full list.

Explore the App

Pyodios has ten main sections, accessible from the tab bar and menus:

Notebook

Jupyter-compatible notebooks with code cells, markdown rendering, and inline output for an interactive workflow.

Editor

Write Python scripts with Tree-Sitter syntax highlighting, code outline, folding, and snippets.

Console

Interactive Python REPL with command history, code completion, and color-coded output.

Plots

View, zoom, and export your matplotlib and Plotly visualizations. Pin favorites and share via the system share sheet.

Environment

Inspect your Python workspace: see variables, DataFrames, and their values at a glance.

Files

Browse, create, import, and export Python scripts and notebooks with iOS Files app integration.

Packages

Install Python packages from PyPI via micropip. Offline wheel caching keeps packages available without a network.

Themes

Nine built-in color themes plus a full theme editor. Create, import, and export custom themes, and override the accent color.

Remote Kernels

Connect to a Jupyter server over the network and run code on a remote Python kernel instead of the local Pyodide runtime.

Settings

Configure layout, editor preferences, keyboard shortcuts, iCloud sync, plot display, and more.