Skip to main content

You should solve DSA problems efficiently.

Project description

LeetPy Banner

Debugging is twice as hard as writing the code in the first place.

If you solve problems related to Data Structures & Algorithms (DSA), you know how frustrating it is to debug complex data structures like Binary Trees and Directed Graphs.

LeetPy is a lightweight Python package that makes you more efficient when you solve DSA problems. It contains utility functions and algorithms that make debugging and testing SO MUCH easier. Here are some features:

  • Several Data Structures: Binary Trees, Linked Lists, 2-D Arrays, etc.
  • Visualize Your Objects: LeetPy provides convenient print() functions that show you what your structure looks like (all inside your terminal!).
  • Save & Export: Serialization and export functions help you save an exact copy of your structure, and give you the code to generate them from scratch.
  • Flexibility: Create your data structure however you want; LeetPy's algorithms will always work correctly.

Usage & Examples

Consider debugging the Binary Tree data structure:

from leetpy import BinaryTree

# from leetpy import TreeNode
class TreeNode:
    """A basic definition of a binary tree's node."""

    def __init__(
        self,
        val: any = 0,
        left: Optional["TreeNode"] = None,
        right: Optional["TreeNode"] = None,
    ):
        self.val = val
        self.left = left
        self.right = right

# Randomly generate the root of a binary tree
root: TreeNode = BinaryTree.create(n=20, min_val=1, max_val=10)
# Or, import it from a serialized array (like on Leetcode)
root: TreeNode = BinaryTree.create_from_leetcode_array("[1,2,3,4,null,null,5]")

# Count the number of nodes in the binary tree
print(BinaryTree.count_nodes(root))
# Print all the nodes of the binary tree
for node in BinaryTree.travel_inorder(root):
    print(node)
# Visualize the structure of the binary tree
BinaryTree.print_structure(root)

LeetPy offers a wide range of utility functions - for a wide range of data structures.

Installation

To install the latest stable release, run:

$ pip install leetpy

To install from the latest GitHub commit:

pip install git+https://github.com/aryanpingle/leetpy

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

leetpy-0.2.0.tar.gz (13.8 kB view hashes)

Uploaded Source

Built Distribution

leetpy-0.2.0-py3-none-any.whl (15.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page