> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/Chalarangelo/30-seconds-of-code/llms.txt
> Use this file to discover all available pages before exploring further.

# Python Code Snippets

> Explore a collection of Python helper functions and utilities for common programming tasks

# Python Code Snippets

Welcome to the Python code snippets collection. This comprehensive library contains helper functions and utilities for Python 3.6+, covering the most common data types and operations.

## What You'll Find

Our Python collection includes utilities for:

* **Lists**: Chunking, filtering, sorting, and manipulating list data
* **Dictionaries**: Transforming, mapping, and converting dictionary structures
* **Strings**: Case conversion, formatting, and text manipulation
* **Math**: Mathematical operations, algorithms, and calculations
* **Dates**: Date arithmetic, formatting, and comparisons

## Code Quality

All snippets are:

* Written for Python 3.6+
* Tested and production-ready
* Focused on readability and performance
* Accompanied by practical examples

## Getting Started

Browse the sections below to find the utilities you need:

<CardGroup cols={2}>
  <Card title="Lists" icon="list" href="/python/lists/overview">
    Work with list operations, filtering, and transformations
  </Card>

  <Card title="Dictionaries" icon="book" href="/python/dictionaries/overview">
    Transform and manipulate dictionary data structures
  </Card>

  <Card title="Strings" icon="text" href="/python/strings/overview">
    String manipulation, formatting, and case conversion
  </Card>

  <Card title="Math" icon="calculator" href="/python/math/overview">
    Mathematical operations and algorithms
  </Card>

  <Card title="Dates" icon="calendar" href="/python/dates/overview">
    Date arithmetic and formatting utilities
  </Card>
</CardGroup>

## Example Snippet

Here's a quick example of what you'll find in this collection:

```python theme={null}
from math import ceil

def chunk(lst, size):
  return list(
    map(lambda x: lst[x * size:x * size + size],
      list(range(ceil(len(lst) / size)))))

chunk([1, 2, 3, 4, 5], 2) # [[1, 2], [3, 4], [5]]
```

This function splits a list into smaller chunks of a specified size - just one of many utilities you'll discover in this collection.