← Back to Blog

How to Install TensorFlow on Anaconda Python 3.6: A Guide

TensorFlow, a powerful open-source software library for machine learning and artificial intelligence, is a must-have tool for data scientists. This blog post will guide you through the process of installing TensorFlow on Anaconda Python 3.6.
By Saturn Cloud | | Miscellaneous

How to Install TensorFlow on Anaconda Python 3.6: A Guide

TensorFlow, a powerful open-source software library for machine learning and artificial intelligence, is a must-have tool for data scientists. This blog post will guide you through the process of installing TensorFlow on Anaconda Python 3.6.

Introduction

Anaconda is a popular distribution of Python and R for scientific computing and data science. It’s widely used by data scientists due to its ease of use and robust package management system. TensorFlow, on the other hand, is a leading machine learning framework that allows developers to create complex ML models with ease.

Before we dive into the installation process, let’s understand why you might want to use TensorFlow with Anaconda.

Why Use TensorFlow with Anaconda?

  1. Ease of Installation: Anaconda simplifies the installation of TensorFlow, making it easier to get started.
  2. Package Management: Anaconda’s package management system ensures that all dependencies are correctly installed.
  3. Isolation: Anaconda allows you to create isolated environments, ensuring that different projects don’t interfere with each other.

Prerequisites

Before installing TensorFlow, ensure that you have Anaconda Python 3.6 installed on your system. If not, you can download it from the official Anaconda website.

Step-by-Step Guide to Install TensorFlow on Anaconda Python 3.6

Step 1: Create a New Anaconda Environment

First, we’ll create a new Anaconda environment with Python 3.6. Open your terminal or Anaconda Prompt and type:

conda create -n tf_env python=3.6

Here, tf_env is the name of the new environment, and python=3.6 specifies the Python version.

Step 2: Activate the New Environment

To use the new environment, you need to activate it. Type:

conda activate tf_env

Step 3: Install TensorFlow

Now, we’re ready to install TensorFlow. In your active environment, type:

pip install tensorflow

This command will install the latest version of TensorFlow compatible with Python 3.6.

Step 4: Verify the Installation

To ensure TensorFlow has been installed correctly, run the following commands:

python -c "import tensorflow as tf;print(tf.__version__)"

This command will print the TensorFlow version, confirming the successful installation.

Conclusion

Congratulations! You’ve successfully installed TensorFlow on Anaconda Python 3.6. Now, you’re ready to start building machine learning models with TensorFlow.

Remember, the key benefits of using TensorFlow with Anaconda are ease of installation, robust package management, and environment isolation. These features make it an excellent choice for data scientists.

Further Reading

For more information on TensorFlow and Anaconda, check out the following resources:

Keywords

  • TensorFlow
  • Anaconda Python 3.6
  • Machine Learning
  • Data Science
  • Installation Guide

Disclaimer: The information in this blog post is accurate as of the date of publication. However, software updates may change some details over time.

About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Join today and get 150 hours of free compute per month.

Try Saturn Cloud Now