Examples Gallery¶

Real-world examples demonstrating EPL's capabilities.

🌐 Hello Web — Minimal Web Server¶

A production-ready web server with HTML pages and JSON APIs.

Create WebApp called app

Page "/" renders
    Title "Welcome to EPL"
    Heading "Hello from EPL! 👋"
    Paragraph "This is a production-ready web server."
    Link "/about" shows "About this app"
End

Route "/api/health" responds with
    Return Map with status = "ok" and version = "1.0.0"
End

app.start(8000)

epl serve examples/hello_web/main.epl

📝 TODO API — REST API with Database¶

Full RESTful CRUD API with SQLite.

Create WebApp called app
db = db_open("todos.db")
Note: [Parser Error] db_create_table(db, "todos", Map with id = "INTEGER PRIMARY KEY AUTOINCREMENT" and title = "TEXT NOT NULL" and completed = "INTEGER DEFAULT 0"
Note: [Parser Error] )

Route "/api/todos" responds with
    todos = db_query(db, "SELECT * FROM todos ORDER BY id DESC")
    Return Map with success = True and data = todos
End

Route "/api/todos" responds with
    body = request_body()
    db_execute(db, "INSERT INTO todos (title) VALUES (?)", [body.get("title")])
    Return Map with success = True and message = "Created"
End

app.start(8000)

epl serve examples/todo_api/main.epl

# Test:
curl http://localhost:8000/api/todos
curl -X POST http://localhost:8000/api/todos -d '{"title":"Buy groceries"End'

🧮 Calculator — CLI App¶

Interactive command-line calculator with history and math functions.

Say "EPL Calculator v1.0"
running = True
history = []

Repeat 3 times
    Say "Loop"
End

While running == True
Note: [Parser Error]     input = Ask "calc> "
Note: [Parser Error]     If input == "quit" then
        running = False
Note: [Parser Error]     Otherwise if input == "history" then
        For Each entry in history
            Say entry
        End
Note: [Parser Error]     Otherwise
Note: [Parser Error]         result = evaluate(input)
        Say "= " + to_string(result)
    End
Note: [Parser Error] End

epl run examples/calculator/main.epl

📊 Data Analysis¶

df = ds_read_csv("sales.csv")
Say ds_shape(df)
Say ds_describe(df)

total = ds_sum(df, "revenue")
Say "Total revenue: $" + to_string(total)

ds_bar_chart(df, "month", "revenue")
ds_save_plot("revenue_chart.png")

🤖 Machine Learning¶

data = ml_load_data("iris")
split = ml_split(data, 0.8)

model = ml_random_forest(get(split, "train"))
ml_train(model)

accuracy = ml_accuracy(model, get(split, "test"))
Say "Accuracy: " + to_string(accuracy * 100) + "%"

ml_save_model(model, "iris_model.pkl")

🎮 Game Development¶

game_create("Space Shooter", 800, 600)
game_set_bg("black")

player = game_sprite("player.png", 400, 500)
score = 0

game_on_key("left", Lambda -> game_move(player, -5, 0))
game_on_key("right", Lambda -> game_move(player, 5, 0))
game_on_update(Lambda -> game_update_text("Score: " + to_string(score)))

game_run()

More Examples¶

Browse the full examples directory on GitHub: github.com/abneeshsingh21/EPL/tree/main/examples