Resultado da Busca
Download Anaconda Distribution Version | Release Date:Download For: High-Performance Distribution Easily install 1,000+ data science packages Package Management Manage packages ...
- Excel
Python in Excel uses curated packages from the Anaconda...
- Code in the Cloud
Anaconda’s Cloud Suite offers professionals access to tools...
- About Anaconda
Anaconda was founded in 2012 by Peter Wang and Travis...
- Enterprise
Anaconda is the birthplace of Python data science. We are a...
- Installation
The official Anaconda and Miniconda Docker images are on...
- Anaconda Distribution
Anaconda® Distribution is a free Python/R data science...
- Installing on Windows
Choose whether to add Anaconda to your PATH environment...
- Anaconda Home
The world’s most trusted open ecosystem for. sourcing,...
- Excel
Gostaríamos de exibir a descriçãoaqui, mas o site que você está não nos permite.
The official Anaconda and Miniconda Docker images are on Docker Hub. If you have a CDH (Cloudera Distributed Hadoop) cluster, install the Anaconda parcel using Cloudera Manager. The Anaconda parcel provides a static installation of Anaconda, based on Python 2.7, that can be used with Python and PySpark jobs on the cluster. Troubleshooting
Anaconda® Distribution is a free Python/R data science distribution that contains: conda - a package and environment manager for your command line interface. Anaconda Navigator - a desktop application built on conda, with options to launch other development applications from your managed environments. 250 automatically-installed packages that ...
Choose whether to add Anaconda to your PATH environment variable or register Anaconda as your default Python. We don’t recommend adding Anaconda to your PATH environment variable, since this can interfere with other software.
The world’s most trusted open ecosystem for. sourcing, building, and deploying data science and AI initiatives. Explore Anaconda Hub.
Learn how to use conda, a package and environment manager for Python, with this 20-minute guide. Create and manage environments, install packages, and switch Python versions with conda commands.