gconda 0.1.2

A library to manage environment on Google Colab and Kaggle.

G-Conda

Introduction

G-Conda is a Python library that simplifies Conda environment management on Google Colab and Kaggle. This library supports checking, installing Conda, creating new Python environments, and running commands within Conda environments automatically.

Installation

You can install G-Conda using pip:

pip install gconda

Usage

from gconda import gconda

1. Check Conda and Python availability

from gconda.gconda import check_conda, check_python

print("Conda available:", check_conda())
print("Python available:", check_python())

print("Conda available:", gconda.check_conda())
print("Python available:", gconda.check_python())

2. Install Conda (if not already installed)

from gconda.gconda import install_conda
install_conda()

gconda.install_conda()

3. Create a new environment with a specific Python version

from gconda.gconda import setup_env
setup_env(python_version="3.10", env_name="gconda")

gconda.setup_env(python_version="3.10", env_name="gconda")

4. Run a pip-installed library command within the Conda environment

from gconda.gconda import run_library_command
run_library_command("gdown", "--version")

gconda.run_library_command("gdown", "--version")

License

G-Conda is released under the GNU GPL v3.0 license.

References

G-Conda is built upon and integrates features from several established projects. We acknowledge and appreciate the contributions of the following projects:

• miniconda: A lightweight Conda distribution used for efficient package and environment management.
• condacolab: A library that enables Conda usage on Google Colab.

These projects have played a crucial role in shaping the functionality of G-Conda.

Author

• Hoang-Phat Vu
• Email: [e-mail]
• GitHub: phatvucoder

Contributions

Contributions, bug reports, and improvements are welcome. Please create an issue or submit a pull request on GitHub.