To read the complete release notes for Anaconda Distribution 2022.10, click here. Filters are persistent and allow users to set their home preferences. There is GUI support for macOS M1 (ARM64), enabling applications such as Spyder and Anaconda Navigator.Īpplication tiles have been enhanced to allow more dynamic configuration.Īpplications can now be filtered on the homepage. There are updated resources in the Community tab. Anaconda Distribution 2022.10 comes with Python 3.9 and conda v22.9.0, support for Python 3.10, and an updated Anaconda Navigator.Īnaconda Navigator has released version 2.3.1 and is included with the Anaconda Distribution 2022.10 installer. We are pleased to announce the release of the Anaconda Distribution 2022.10 installer. 2022.10 is the last release that will support Python 3.7.Ĭlick here to access the latest Anaconda Distribution installer. They both work.The 2022.10 release of Anaconda Distribution features Qt support in Anaconda Navigator v2.3.1, full GUI support for macOS M1’s ARM64 architecture, Python 3.10, improved security protocols, and several package updates.

Then, I decided to put them for testing and experimentation. matplotlib and pandas are not really necessary, but I was asked if matplotlib or pandas would work in PyTorch. As of this writing (August-September 2020), the latest PyTorch version is 1.6.Īlternatively, you could create and install a conda environment a specific PyTorch version with:Ĭonda create -n my-torch python=3.6 pytorch=1.3 torchvision matplotlib pandas -c pytorch -yĬonda will resolve the dependencies and versions of the other packages automatically, or let you know your options.

Note: If you you don’t specify a version, conda will install the latest PyTorch. Inside the new environment, install PyTorch and related packages with:Ĭonda install python=3.6 pytorch torchvision matplotlib pandas -c pytorch If you prefer do it manually, use this example:Ĭreate a conda environment with conda create -n my-torch python=3.7 -yĪctivate the new environment with conda activate my-torch

Manual installation of PyTorch in a conda environment

Conda latest version