![]() ![]() environment location: C:\ProgramData\Anaconda3 Please see the Add Anaconda to Path (Optional) section.ĮnvironmentNotWritableError: The current user does not have write permissions to the target environment. If you get a jupyter is not recognized, python is not recognized, or similar, then you most likely have a path issue. Here are a couple issues and some solutions I have found. I have done my best to duplicate, address, and solve a couple common issues. You can also try to open a Jupyter Notebook to check. Try typing conda -version and python -version into the Command Prompt to check to see if everything went well. ![]() Your screen may look different depending on what version of Windows you are using.ĥ. Please see the video while you do this (keep in mind this might vary some depending on your Windows). You can do this by going to your System or Environment Variables and adding the output of step 3 to your PATH. Locate Anaconda Navigator and Click on Anaconda Navigator.Ĥ. If you get lost, I recommend opening the video below in a separate tab.ġ. You can do this through either Anaconda Prompt or Anaconda Navigator. If you want to learn about how to use P圜harm with Anaconda, I have an older tutorial on it here.Ī good way to test your installation is to open a Jupyter Notebook. You can install P圜harm if you like, but it is optional. Consider what you are doing in this step.Ĩ. If you want to be able to use Anaconda in your command prompt, please use the alternative approach and check the box. This means you will have to use Anaconda Navigator or the Anaconda Command Prompt (located in the Start Menu under “Anaconda”) when you wish to use Anaconda (you can always add Anaconda to your PATH later if you don’t check the box). The recommended approach is to not check the box (1) to add Anaconda to your path. This is an important part of the installation process. In the example image on the right, the path is similar to if you selected “All Users” for step 4.Ħ. In the example image on the left, the path is similar to if you selected “Just Me” for step 4. Your installation location can vary so keep note of where you installed anaconda. Please make a note of your installation location (1) and then click Next (2). If you aren’t sure which to select, choose Just Me as this can mitigate potential issues if you don’t have administrator privileges.ĥ. Choose either Just Me (recommended) or All Users. Read the License Agreement and click on I Agree.Ĥ. When the screen below appears, click on Next.ģ. Installing as administrator is for the case you don’t have permission install anaconda in the location you want or to add anaconda to your path. ![]() Ideally, you open/run the file as administrator. If you aren’t sure which Python version you want to install, choose Python 3. Go to the Anaconda Website and choose either a Python 3.x graphical installer (A) or a Python 2.x graphical installer (B). How to download and install Anaconda on WindowsĪs always, feel free to ask questions either here or on the YouTube video page.Miniforge will automatically use the community-maintained Conda-Forge repository, which has a much wider variety of packages and is generally more up to date than the Anaconda equivalent, in addition to being free of any commercial restrictions. Then, simply install the packages you need (including Spyder, if you aren’t using our recommended Standalone installers) with conda as you usually do. Instead, you can simply download the similar Miniforge distribution, which is 100% open source and identical to full Anaconda (aside from not bundling the Python packages installed by default in the Anaconda base environment, which we recommend you avoid using anyway given any problems here can break your whole installation). However, these terms only apply to the package infrastructure (the full Anaconda distribution and the defaults conda channel). If you use Spyder with the Anaconda distribution, they recently changed their Terms of Service to add restrictions on large (> 200 employee) for-profit companies using Anaconda on a large scale. ![]()
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