If you have already purchased Commercial Edition, please proceed to the Authenticating Commercial Edition section after completing your installation here. Download the Anaconda installer. For more information on hashes, see What about cryptographic hash verification? To prevent permission errors, do not launch the installer from the Favorites folder.
If you encounter issues during installation, temporarily disable your anti-virus software during install, then re-enable it after the installation concludes. If you installed for all users, uninstall Anaconda and re-install it for your user only and try again. Select a destination folder to install Anaconda and click the Next button. See FAQ. Install Anaconda to a directory path that does not contain spaces or unicode characters.
If you already know your system type, you can go to step 4. Else follow the steps below:. Download the most recent release of python. At the time of writing this post, it is python 3. The download file is around MB, so it may take some time for Anaconda to download. If your system type is x64, directly click the download button; else, click on bit Graphic Installer. Click Install. This will install Anaconda in your system. Once the installation of the anaconda is completed.
Go to windows start and select the anaconda prompt. Note that you will see Anaconda and Anaconda Prompt. Type the python command in the anaconda prompt window and hit enter:. This will start the environment, which will have python 2. Since the conda environment is independent of each other, you create any number of the environment with different versions of python or any other packages. Conda makes it easy to manage multiple data environments that can be maintained and run separately without interference from each other.
Build and train machine learning models using the best Python packages built by the open-source community, including scikit-learn, TensorFlow, and PyTorch. Get Started. With Anaconda Individual Edition, the open-source world is your oyster. From robotics to data visualization, you can access the open-source software you need for projects in any field.
Open Source.
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