Python and System Info

Get information about the current system, Python, and Python packages.

Installation

Use pip to install directly from GitHub:

pip install git+https://github.com/artemmavrin/py_info.git

Alternatively, clone the repo and install manually:

git clone https://github.com/artemmavrin/py_info.git
cd py_info
make install

Either method will install install the py_info Python package in your current environment and create a script called py_info on your system path.

Usage

Using the `py_info` script

From a terminal, run the py_info script:

$ py_info

System
======
         Platform: Linux-4.9.184-linuxkit-x86_64-with-debian-10.2
         Hostname: 52a9020e146b
     Machine Type: x86_64
        Processor: ???
       Byte Order: little-endian
Working Directory: /home/py_info
             Path: /usr/local/bin
                   /usr/local/sbin
                   /usr/local/bin
                   /usr/sbin
                   /usr/bin
                   /sbin
                   /bin

Python
======
          Version: 3.7.6 (default, Feb  2 2020, 09:00:14) 
                   [GCC 8.3.0]
       Executable: /usr/local/bin/python
   Implementation: CPython
      Python Path: /usr/local/lib/python37.zip
                   /usr/local/lib/python3.7
                   /usr/local/lib/python3.7/lib-dynload
                   /usr/local/lib/python3.7/site-packages

Packages
========
       matplotlib: 3.1.3
            numpy: 1.18.1
           pandas: 1.0.1
            scipy: 1.4.1
          sklearn: 0.22.1
       tensorflow: 2.1.0

Run with the -h or --help flag to view usage instructions:

$ py_info --help
usage: py_info [-h] [package [package ...]]

Get information about Python and the system.

positional arguments:
  package     One or more Python packages. (default: ['matplotlib', 'numpy', 'pandas', 'scipy', 'sklearn', 'tensorflow'])

optional arguments:
  -h, --help  show this help message and exit

Specify which packages you care about by listing them as command line arguments:

$ py_info numpy tensorflow

System
======
...
Packages
========
            numpy: 1.18.1
       tensorflow: None

Running the `py_info` package

From a terminal, run python -m py_info:

$ python -m py_info

System
======
...

You may also specify command line package names here.

Using `py_info` inside a Python interpreter or script

The module py_info can be imported and called, e.g., from the Python interpreter:

>>> import py_info
>>> py_info()

System
======
...
>>> py_info('sklearn', 'scipy')  # Specify packages as positional arguments

System
======
...
Packages
========
          sklearn: 0.22.1
            scipy: 1.4.1
>>> py_info(['sklearn', 'scipy'])  # Specify a list of packages

System
======
...
Packages
========
          sklearn: 0.22.1
            scipy: 1.4.1

Docker Image

The output shown above was generated in a Docker container based on the Dockerfile in this repo. To reproduce it, ensure that Docker is installed, and run

make image
make run

artemmavrin/py_info