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Python Code Samples

Easy snippets you can copy, study, and run in the browser editor.

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AI & LLM integration patterns easy

How to Build a Prompt Template with Variable Slots in Python

Create a reusable LLM prompt template with named variable slots using Python's string.Template class and fill them with render() calls.

llm prompt-engineering templates
Python
from string import Template


class PromptTemplate:
    def __init__(self, template_text):
        self.template = Template(template_text)

    def render(self, **kwargs):
        return self.template.substitute(**kwargs)


if __name__ == "__main__":
    template = PromptTemplate(
        "You are a helpful assistant …
14 0 Open
Automation & scripting easy

Fill PDF Form Fields from a Mock Template in Python

Fills a PDF-style form template dictionary with user data, preserving template fields and formatting output as JSON.

pdf forms json
Python
import json

template = {
    "first_name": "",
    "last_name": "",
    "email": "",
    "phone": "",
    "date_of_birth": "",
    "address": "",
    "city": "",
    "state": "",
    "zip_code": "",
    "agree_to_terms": False
}


def fill_pdf_form(template: dict, data: dict) -> dict:
    for key, value in data.items…
10 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.