How To Install TensorFlow in a Virtual Environment with Anaconda

NOTE: Refer to the How To Setup Data Science Projects with Jupyter Notebooks or JupyterLab instructions for information on installing Anaconda, creating a virtual environment, and working with Python inside of VSCode (with or without Python Notebooks).

You can add TensorFlow to an environment.yml file and create a virtual environment that includes TensorFlow by following the instructions on How To Setup Data Science Projects with Jupyter Notebooks or JupyterLab.

name: name-of-virtual-environment

channels:

  - conda

  - conda-forge

dependencies:

  - python==3.12

  - pip==24.2

  - tensorflow==2.19.0

  # Other packages go here...

Or you can create a new virtual environment using conda and install the packages you want in that environment:

conda create --name tf tensorflow

conda activate tf

NOTE: It will take several minutes to install TensorFlow along with all of the necessary packages.

Sources:

• TensorFlow (Anaconda docs)
• Managing environments