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It is a tool to show detailed information about Python version, Pip version, libraries installed, O.S, and disk usage by the project.

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Show Env

Report of Project Environment

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  / ___/ __ \/ __ \ | /| / / _ \/ __ \ | / /
 (__  ) / / / /_/ / |/ |/ /  __/ / / / |/ / 
/____/_/ /_/\____/|__/|__/\___/_/ /_/|___/  
                                            

It is a tool to show detailed information of:

  • Python
  • Pip
  • Libraries
  • OS
  • Disk usage

Requirements

This project is tested with:

Requisite Version
Python 3.9.1
Pip 21.2.4
Debian distros Ubuntu/Linux Mint

Install

pip install showenv

Usage

cd <REPOSITORY_TO_ANALYSE>
showenv

Output: Report of Project Environment

2 files generated in current project.

  • config_env.txt
OS:
Linux
Distributor ID:	Ubuntu
Description:	Ubuntu 19.04
Release:	19.04
Codename:	disco

Python Version:
Python 3.7.3

Pip Version:
pip 19.1.1 from $HOME/projetos/challenges/kaggle/porto-seguro-safe-driver-prediction/src/environment/venv/lib/python3.7/site-packages/pip (python 3.7)

Jupyter Version:
4.4.0

--------------------------------------------------

Disk Usage:

data:
383M	data/

virtual env:
736M	src/environment/venv/

all:
1,3G	.
  • struture_project.txt
.
├── data
│   ├── kaggle_submission.csv
│   └── raw
│       ├── datasets.zip
│       ├── sample_submission.csv
│       ├── test.csv
│       └── train.csv
├── LICENSE
├── notebooks
│   └── porto_seguro_safe_driver.ipynb
├── README.md
├── references
│   └── porto-seguro-vector-logo.png
└── src
    └── environment
        ├── config_env.txt
        ├── container
        │   └── Dockerfile
        ├── create_requirements.sh
        ├── create_virtual_env.sh
        ├── __init__.py
        ├── jupyter_notebook_config.py
        ├── makefile
        ├── prepare_env.py
        ├── README.md
        ├── requirements.txt
        ├── show_config_env.sh
        ├── show_struture_project.sh
        ├── struture_project.txt
        ├── test_environment.py
        ├── venv
        └── virtualenv_requirements.txt

8 directories, 24 files

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It is a tool to show detailed information about Python version, Pip version, libraries installed, O.S, and disk usage by the project.

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