#INSTALL PACKAGES IN ANACONDA NAVIGATOR INSTALL#
But as you progress towards data science and machine learning, you will have to install more packages. So you will not need to add more in the beginning. Anaconda already has the most frequently used packages installed. These were the different ways to add packages to Anaconda environment. If you are an avid Anaconda user and you wish to install Orange with Anaconda Navigator, there are some steps you need to take to ensure everything. And since most of our user base uses Windows, this was the way to go. Now, at the end, to view all the installed packages, either use the Environments tab of Anaconda Navigator or type the following command in Anaconda prompt- conda list Orange has been a conda package for some time now, since this is the easiest way to provide pre-compiled packages for Windows. Suppose we want to install OpenCV, follow the command – pip install opencv-python Now you can install any package in anaconda environment using pip. Open Anaconda prompt, install pip using the command – conda install pip We can also install packages using the “pip” package manager. Search for the package you want to install and then click on Apply. The tab shows all the installed and uninstalled packages in our Anaconda. On the Anaconda Navigator home page, click on the “Environments” tab present on the left panel of the page. To install a specific version, use – conda install tensorflow=2.0.0 Anaconda Navigator If you want to create a new environment, and install and activate TensorFlow there, use the command – conda create -n tensorflow_env tensorflow conda activate tensorflow_env To install packages like TensorFlow, Keras, OpenCV and many more, use the following commands – conda istall tensorflow conda install keras Conda install opencv There are three ways in which we can add packages to the Anaconda environment. To manage packages, Anaconda provides “ conda” as the package manager which is equivalent to “ pip” in Python. It has data-science packages for all major OS platforms.
It is widely used for the ease of package management and deployment. Anaconda is an open-source python distribution. Packages are in a cache and they rely on other packages using hard links, which essentially point to a package instead of copying it to the environment. In this tutorial, we will see different ways to add packages to the Anaconda environment in Python.
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