#Conda-environment
Showing 6 of 6 repositories tagged #conda-environment, ranked by stars
Powerful system-level package manager for Linux, macOS and Windows written in Rust – building on top of the Conda ecosystem.
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
🐍 CLI tool to find and delete unused Python virtual environments (.venv, poetry, conda, pipenv, uv). Reclaim disk space effortlessly — supports bulk delete, size reporting, and pycache cleanup.
This repository provides the Open-CE environment files and version definitions for each Open-CE release.
The goal of this project is to build a docker cluster that gives access to Hadoop, HDFS, Hive, PySpark, Sqoop, Airflow, Kafka, Flume, Postgres, Cassandra, Hue, Zeppelin, Kadmin, Kafka Control Center and pgAdmin. This cluster is solely intended for usage in a development environment. Do not use it to run any production workloads.