With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to:

I determined this by running conda create -n foo -dry-run -c anaconda python=3.6.5 anaconda and then examining the version of the anaconda package that Conda ended up with in the solve.The open-source Anaconda Individual Edition (formerly Anaconda Distribution) is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and macOS. Use your new isolated env: conda activate my_env Once that is working.Ĭreate your Anaconda env: conda create -name my_env -c anaconda python=3.6.5 anaconda=5.2.0 Stepsĭownload and install Miniconda or a Miniforge variant. In the long run this will give you better stability. Fortunately, you don't have to install a full Anaconda distribution, but rather can use a lightweight Miniconda (or Miniforge) distribution and create a secondary environment for the purpose of having an Anaconda Python 3.6.5 distribution. Ultimately, you don't want to mess with your base environment, so best practice is to have the latest version there.

What is installed in the base environment is relatively fixed once installed. Miniconda + Anaconda environment Reasoning However, I strongly recommend the following alternate solution as better practice. If you do install from this, then make sure to update Conda immediately after installation: conda update conda 1 You can download this from the Anaconda distribution archive. The Anaconda distribution with Python 3.6.5 was version 5.2.0.

Anaconda python 3.6 free download