![]() There are two ways to install TensorFlow: using pip or using conda. Now that you have created and activated a new environment, you can install TensorFlow. This will activate the my_env environment, and any packages you install will be installed in this environment. To activate the environment, type the following command: conda activate my_env ![]() Once you have created the new environment, the next step is to activate it. This will create a new environment named my_env with Python 3.6 as the default version. To create a new environment, open the Anaconda prompt and type the following command: conda create -name my_env python=3.6 This is a best practice in Python development, as it allows you to isolate your project-specific dependencies and avoid conflicts with other packages. Step 2: Create a New EnvironmentĪfter you have installed Anaconda Python 3.6, the next step is to create a new environment. Follow the instructions to install Anaconda Python 3.6 on your system. You can download the installer from the Anaconda website. The first step is to install Anaconda Python 3.6. In this article, we will walk you through the steps to install TensorFlow on Anaconda Python 3.6. ![]() ![]() It is a great choice for data scientists because it provides a convenient way to manage and install packages. TensorFlow is a powerful tool for creating and training deep learning models, and it is widely used in the industry.Īnaconda Python is a popular distribution of Python that comes with many pre-installed scientific packages. As a data scientist, you are likely familiar with the power of TensorFlow, an open-source machine learning library that can be used for a wide range of applications. ![]()
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