Learn how call graphs can significantly enhance Python code performance by visualizing function interactions for data analytics.

Python Function Call Graph Generator Demonstrates how to generate and visualize function call graphs in Python, specifically focusing on a sample script example.py. The call graph is generated using ...

The static analysis approach Pyan takes is different from running the code and seeing which functions are called and how often. There are various tools that will generate a call graph that way, ...

Call graphs play an important role in different contexts, such as profiling and vulnerability propagation analysis. Generating call graphs in an efficient manner can be a challenging task when it ...

A static call graph is an imperative prerequisite used in most interprocedural analyses and software comprehension tools. However, there is a lack of software tools that can automatically analyze the ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

Control flow graphs (CFGs) and function call graphs (FCGs) have become pivotal in providing a detailed understanding of program execution and effectively characterizing the behaviour of malware. These ...