CProfileV: Making Python cProfile Usage Effortless

Michael is the developer behind the super-cool tool, CprofileV.” Michael, known as ymichael on GitHub, a software engineer at Figma

“cprofilev” simplifies the usage of Python’s cProfile module for profiling code and provides a web-based HTML view of the profiling statistics. Here’s a summary of the key points:

1. Purpose: “cprofilev” makes it easier to use Python’s cProfile for profiling Python programs. Profiling is a technique used to measure code execution time and identify bottlenecks in the code for performance optimization.
2. Installation: You can install “cprofilev” using pip, a package manager for Python. On most UNIX-like systems, you’ll likely need to use sudo or run as root to install it:

pip install cprofilevCode language: Python (python)

3. Quickstart: To profile your Python program with “cprofilev,” you can run it using the -m cprofilev flag:

python -m cprofilev /path/to/python/program ...Code language: Python (python)

This command starts profiling your program and makes the statistics available in a web-based interface. You can access this interface at http://localhost:4000 while your program is still running.

Alternatively, you can save the cProfile output to a file and later analyze it with “cprofilev” using the -f flag:

python -m cProfile -o /path/to/save/output /path/to/python/program ...
cprofilev -f /path/to/save/outputCode language: Python (python)

1. Usage: “cprofilev” provides a command-line interface with the following options:
   • scriptfile: The Python script file to run and profile.
   • -h, --help: Show help message and exit.
   • --version: Show program’s version number and exit.
   • -a ADDRESS, --address ADDRESS: The address to listen on (defaults to 127.0.0.1).
   • -p PORT, --port PORT: The port to listen on (defaults to 4000).
   • -f FILE, --file FILE: Specify a cProfile output file to view. If specified, the scriptfile provided will be ignored.
   You can use these command-line options to customize how “cprofilev” runs and displays profiling results.

For more detailed information and examples on how to use “cprofilev,” you can refer to the documentation: http://ymichael.com/2014/03/08/profiling-python-with-cprofile.html.

Check these also;

• https://github.com/ymichael/cprofilev
• https://pypi.org/project/CProfileV/

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