pyshala 0.1.0

A self-hosted interactive Python training platform

PyShala

A self-hosted interactive Python training platform for delivering custom lessons with live code execution and automated feedback.

Features

• Interactive Lessons: Write and run Python code directly in the browser
• Automated Testing: Instant feedback with pass/fail results for each test case
• Custom Content: Create your own lessons using simple YAML files
• Data File Support: Lessons can include CSV, JSON, and other data files
• Self-Hosted: Deploy on your own infrastructure
• No External Dependencies: Code execution runs locally (no Docker required)

Quick Start

Installation

pip install pyshala

Command Line

# Run with default lessons directory (./lessons)
pyshala

# Run with custom lessons path
pyshala ./my_lessons

# Run with custom port
pyshala ./my_lessons --port 8080

# See all options
pyshala --help

CLI Options:

Option	Default	Description
lessons_path	./lessons	Path to lessons directory
--host	0.0.0.0	Host address to bind
--port, -p	3000	Frontend port
--backend-port	8000	Backend API port
--max-execution-time	10.0	Max code execution time (seconds)
--python-path	Current interpreter	Python interpreter for execution
--loglevel	info	Logging level (debug/info/warning/error)
--app-name	Learn Python	Application name displayed in the UI
--app-description	(see below)	Description displayed on home page
--version, -v		Show version and exit

Python API

from pyshala import PyShala

# Create and run the app with your lessons
app = PyShala(lessons_path="./my_lessons")
app.run()

Open your browser at http://localhost:3000

Configuration Options:

from pyshala import PyShala

app = PyShala(
    lessons_path="./lessons",      # Path to lesson YAML files
    host="0.0.0.0",                # Host address
    port=3000,                     # Frontend port
    backend_port=8000,             # Backend API port
    max_execution_time=10.0,       # Max code execution time (seconds)
    python_path="/usr/bin/python3", # Python interpreter for execution
    loglevel="info",               # Logging level
)
app.run()

Alternative: Using create_app

from pyshala import create_app

app = create_app(lessons_path="./my_lessons", port=8080)
app.run()

Creating Lessons

Lessons are defined using YAML files organized into modules. For more information about writing lessons, see LESSONS.md.

Directory Structure

lessons/
├── python_basics/           # Module directory
│   ├── module.yaml          # Module metadata
│   ├── 01_hello_world.yaml  # Lesson file
│   ├── 02_variables.yaml
│   └── sales_data.csv       # Data file for lessons
└── control_flow/
    ├── module.yaml
    └── 01_if_statements.yaml

Module Configuration (module.yaml)

name: "Python Basics"
description: "Learn the fundamentals of Python programming"
order: 1

lessons:
  - 01_hello_world.yaml
  - 02_variables.yaml

Lesson Configuration

title: "Hello, World!"
description: "Write your first Python program"
order: 0

instructions: |
  # Hello, World!

  Use the `print()` function to display text.

  ## Your Task
  Print "Hello, World!"

starter_code: |
  # Write your code here

test_cases:
  - description: "Prints greeting"
    stdin: ""
    expected_output: "Hello, World!"

# Optional: include data files
data_files:
  - name: data.csv
    path: data.csv

Test Case Options

Field	Description
stdin	Input provided to the program
expected_output	Expected stdout output
description	Test description shown to learner
hidden	If true, test details hidden from learner

Development

Setup

git clone https://github.com/dkedar7/pyshala.git
cd pyshala
pip install -e ".[dev]"

Running Directly with Reflex

reflex run

Running Tests

pytest tests/ -v

Building the Package

python -m build

Tech Stack

• Frontend/Backend: Reflex (Python)
• Code Editor: Monaco Editor via reflex-monaco
• Code Execution: Local Python subprocess (sandboxed)

License

MIT License