python-complexity-cheatsheet

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python-complexity-cheatsheet

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A concise and comprehensive cheat sheet covering time complexities of Python's built-in data structures like Lists, Dictionaries, Sets, Tuples, and Strings. This resource is designed to help developers write efficient and optimized Python code.

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# Python Complexity Cheat Sheet 📊

A concise and comprehensive cheat sheet covering **time complexities** of Python's built-in data structures like Lists, Dictionaries, Sets, Tuples, and Strings. This resource is designed to help developers write **efficient** and **optimized** Python code.

## 🚀 Why Use This Cheat Sheet?
- Understand the **average** and **worst-case complexities** of common operations.
- Make informed decisions while working with Python's data structures.
- Write optimized, faster programs with confidence.

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## 🛠️ Cheat Sheets Available:
- [Lists](complexity_cheatsheet/lists.md)
- [Dictionaries](complexity_cheatsheet/dictionaries.md)
- [Sets](complexity_cheatsheet/sets.md)
- [Tuples](complexity_cheatsheet/tuples.md)
- [Strings](complexity_cheatsheet/strings.md)
- [Overview of Complexities](complexity_cheatsheet/complexity_overview.md)

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## 📚 Highlights
- **Lists**: Dynamic arrays with flexible operations.
- **Dictionaries**: Hash-based key-value pairs for ultra-fast lookups.
- **Sets**: Hash-based collections for unique items and efficient membership tests.
- **Tuples**: Immutable, lightweight sequences.
- **Strings**: Immutable text sequences optimized for searching and slicing.

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## 📥 Contributions
Want to help us make this cheat sheet even better? Check out our [CONTRIBUTING.md](CONTRIBUTING.md) file to get started!

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## 📄 License
This project is licensed under the [MIT License](LICENSE).

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### 👀 Preview
Here’s a quick look at time complexities for **Lists**:

| **Operation**       | **Examples**       | **Average Case** | **Worst Case**    |
|----------------------|--------------------|-------------------|-------------------|
| Append              | `l.append(item)`  | O(1)             | O(1) (resize)     |
| Indexing            | `l[i]`            | O(1)             | O(1)             |
| Containment         | `item in l`       | O(N)             | O(N)             |

For more details, visit our dedicated cheat sheets! 🚀

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