When you dive into Python programming, you'll quickly realize that efficiency is key. But how do you pinpoint where your code might be slowing down? Enter call graphs, a visual representation of ...

mit_participants_by_year = mit_data.groupby('Launch Date')['Participants (Course Content Accessed)'].sum() harvard_participants_by_year = harvard_data.groupby('Launch ...

Open the source code [Line Graphs using MatplotLib in Python.ipynb] with Jupyter Notebook or Google Colab. And hit Run to see the output. Check the screenshot file if confused.

Why is your Python app so slow? Find out by using Python’s built-in profiler to locate bottlenecks in your Python code Python may ... far-right column (filename, line number, etc.). The default ...

Abstract: Call graphs play an ... suite containing small Python programs and a set of macro-benchmarks with several popular real-world Python packages. Our results indicate that PyCG can efficiently ...

Graph representations of source code — abstract syntax tree (AST), control-flow graph (CFG), data-flow graphs, etc. — are now commonly employed by machine learning researchers for code research. In ...

Therefore, to protect the code security, the Python open-source code traceability model based on graph neural networks is proposed to calculate the similarity between the programmers' Python code and ...