To create a directed graph in Python for solving problems on LeetCode, you typically represent the graph using data structures such as adjacency lists.

When you customize graphs in Python, you transform raw data into compelling narratives. Python, with its rich libraries like Matplotlib and Seaborn, provides extensive options for graph customization.

Python boasts a rich ecosystem of libraries for data visualization, such as Matplotlib, Seaborn, and Plotly. These libraries come with a variety of functions and methods to create customizable graphs.

The ICSE 2021 paper titled “PyCG: Practical Call Graph Generation in Python” comes with a replication package with the purpose of providing open access to (1) our prototype call graph generator, ...