Add packages to Anaconda environment in Python Last Updated : 11 Jul, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report Let's see some methods that can be used to install packages in the Anaconda environment. There are many ways one can add pre-built packages to an anaconda environment. So, let's see how to direct the path in the anaconda and install them. Add packages to the Anaconda environment using the navigator Step 1: Open your Anaconda navigator Step 2: Go to the Environment tab.Search your package in the upper right search bar.Check the package you want to install. Step 3: Here, you can click on apply to install or update your packages. Add packages to the Anaconda environment using the pip command **Take note that using pip in the anaconda environment may not work in your device. If such a case occurs, you can flawlessly use the conda command. Open Anaconda Command prompt as administratorUse cd\ to come out of the set directory or path.Run pip install command. pip install numpy pip install scikit-learnAdd packages to the Anaconda environment using git Download git filesClone or download git hub files in some directory.Open Anaconda Command prompt as administrator.Use cd C:\Users\... to locate the downloaded site.Then run pip install setup.py.Add packages to the Anaconda environment wheel Download the wheel package.Download binary files or .whl files from an authentic website.Open Anaconda Command prompt as administrator.Use cd C:\Users\... to locate the downloaded site.Then run pip install ___.whlAdd packages to the Anaconda environment Conda forge Command This type of installation will guarantee that package will be downloaded to the system. Because this type of installation resolves environments, package-package conflicts, etc. Self Upgrade related packages to the downloading package.Open Anaconda Command prompt as administrator.Then run conda install -c conda-forge ____conda install -c conda-forge opencv Comment More infoAdvertise with us Next Article How to Setup Anaconda Path to Environment Variable? A Abhishek rajput Follow Improve Article Tags : Misc Python python-utility Practice Tags : Miscpython Similar Reads How to Setup Anaconda Path to Environment Variable? Anaconda is open-source software that contains Jupyter, spyder, etc that are used for large data processing, data analytics, and heavy scientific computing. Anaconda works for R and Python programming languages. Spyder(a sub-application of Anaconda) is used for Python. for Python will work in Spyder 4 min read Why can't we access Python from a Conda Environment? Conda environments are isolated spaces where we can install specific Python versions and packages without interfering with other projects. But sometimes, some issues may arise when trying to activate or use these environments. In this article, we will learn about accessing issues of Python from a co 2 min read How to Delete an Environment in Conda If you have an environment in Anaconda and you no longer need it in your Anaconda, in this article we will see how to deactivate an environment in Anaconda and delete it. Firstly, let's know what is an anaconda environment. Anaconda EnvironmentAnaconda environments commonly known as Environment in C 3 min read How to install packages of Scala, Python and R with Anaconda In this article, we will see how we can install packages of languages like Scala/Python/R into Anaconda by using the Anaconda Navigator package. Anaconda Navigator is a graphical user interface (GUI) tool included in the Anaconda distribution that makes it simple to set up, install, and use tools li 2 min read Managing Virtual environments in Python Poetry Poetry helps you declare, manage, and install dependencies of Python projects, ensuring you have the right stack everywhere. Poetry is a tool for dependency management and packaging in the PHP programming language that helps in managing project dependencies and creating virtual environments. Unlike 4 min read Creating Python Virtual Environment in Windows and Linux A Virtual Environment is a Python environment, that is an isolated working copy of Python that allows you to work on a specific project without affecting other projects So basically it is a tool that enables multiple side-by-side installations of Python, one for each project. Creating a Python virtu 1 min read Like