How to install PyTorch on Anaconda

This is a quick post on how to install PyTorch on Anaconda and get started with deep learning projects. As a machine learning enthusiasts, this is the first step in getting started with PyTorch. I followed this steps on Mac Air and got started with PyTorch in no time. Here are the steps:

Go to Anaconda tool. Click on “Environments” in the left navigation.
Click on arrow marks on “base (root)” as shown in the diagram below. It will open up a small modal window as down. Click open terminal. This will open up a terminal window.

SFig 1. Setting Pytorch on Anaconda

Execute the following command to set up PyTorch.

conda install pytorch torchvision -c pytorch

Once done, go to Jupyter Notebook window and execute the following command:

from __future__ import print_function
import torch
x = torch.rand(5, 3)
print(x)

You would be able to see the output such as the following:

Fig 2. PyTorch successful set up on Anaconda

Author
Recent Posts

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Latest posts by Ajitesh Kumar (see all)

Chunking Strategies for RAG with Examples - November 2, 2025
RAG Pipeline: 6 Steps for Creating Naive RAG App - November 1, 2025
Python: List Comprehension Explained with Examples - October 29, 2025

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.