![]() ![]() Now if you want to install any particular package, through pip in conda environment, we can do it like −Ībove we have installed opencv package through pip in conda environment. We can install pip in our existing conda environment by simply giving the command − conda install pipĪnd your screen will be shown an output something like − Method 3 − If the package is not available in our conda environment or through anaconda navigator, we can find and install the package with another package manager like pip. To install a specific package such as opencv into your existing environment “myenv”(in case you have a virtual environment to install project specific packages). Note − It is recommended to install all required packages at once so that all of the dependencies are installed at once. Select the name of the package you want to install. We can install multiple packages at once, such as OpenCV and tensorflow − conda install opencv tensorflow Only packages that are compatible with your current environment are listed. To install specific a specific version of a opencv package − conda install opencv-3.4.2 Method 2 − Another way of installing packages is by the use of terminal or an Anaconda Prompt − conda install opencvĪbove command will install OpenCV package into your current environment. Follow our step-by-step tutorial for installation, debugging. Let's suppose tensorflow packages are not installed in your computer, I can simply search the required package(like tensorflow), select it and click on apply to install it. Learn how to download and install Anaconda, a powerful package manager, on Microsoft Windows. It is very easy to install any package through anaconda navigator, simply search the required package, select package and click on apply to install it. ![]() Go to Environments tab just below the Home tab and from there we can check what all packages are installed and what is not. Once “Ananconda Navigator” is opened, home page will look something like − also makes it easy to stay current with updates made to the packages and environments you are using. Method 1 − One common approach is to use the “Anaconda Navigator” to add packages to our anaconda environment. is a package management service that makes it easy to find, access, store and share public notebooks, environments, and conda and Standard Python packages. There are multiple ways by which we can add packages to our existing anaconda environment. ![]()
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