How to Install a Specific Package Version with Conda

When working with Python, especially in data science projects, managing package versions can be crucial to ensure consistency and compatibility across different environments. Anaconda, a popular Python distribution for data science and machine learning, offers a powerful package manager called Conda. One common task that developers and data scientists face is installing a specific version of a package. This blog post will guide you through the process of doing just that using Conda.

Understanding Conda

Conda is more than just a package manager; it's an environment manager. It allows you to create isolated environments to avoid conflicts between package versions and dependencies. Before diving into how to install a specific package version, it's essential to understand how to use Conda to manage environments. However, for the sake of this post, we'll focus on the package management capabilities of Conda.

Installing a Specific Package Version

Sometimes, your project might depend on a particular version of a library due to compatibility or functionality reasons. Installing a specific version of a package in Conda is straightforward. The general syntax for installing a specific version is as follows:

conda install package_name=version_number

For example, if you want to install version 1.2.3 of NumPy, you would run:

conda install numpy=1.2.3

This command tells Conda to install the exact version of NumPy specified. If you don't specify a version, Conda will install the latest version available in its repositories.

Specifying the Build

In some cases, you might need to specify not just the version of the package but also the build. This need can arise due to specific platform requirements or compatibility issues. The syntax for specifying both the version and the build is:

conda install package_name=version_number=build_string

For example, to install a specific build of NumPy version 1.2.3, you could use:

conda install numpy=1.2.3=py36h5c71026_4

Here, py36h5c71026_4 is the build string, which usually contains information about the Python version and build configuration.

Using the --revision Option

If you want to revert your environment to a state where a specific package version was installed, you can use the --revision option with the conda install command. This approach is useful for undoing recent changes or troubleshooting compatibility issues.


Managing package versions is a critical aspect of Python development, especially in data science projects. Conda makes it easy to install specific package versions, ensuring that your projects remain consistent and compatible across different environments. Whether you're dealing with compatibility issues or simply need to use a particular version of a library, Conda's powerful package management capabilities have you covered.

Remember, it's always good practice to create a new environment when starting a new project to avoid conflicts and ensure that your project's dependencies are correctly managed. Happy coding!