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How to check if the installed Anaconda is 32-bit or 64-bit?

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A few weeks ago, to dabble in IPython notebooks, I had downloaded and installed Anaconda from http://continuum.io/downloads. There was a problem in the installation (either because it was 32-bit or 64-bit — a detail I can't remember) which I solved but uninstalling my first attempt and installing the other version. Then I went about creating my notebooks with some practice problems.

Currently I can run ipython notebook in the command prompt and the notebooks run perfectly well. But the there's no mention of whether the system is 32-bit or 64-bit in the tree of notebooks (or in the tabs nearby).

I would usually sort such issues using the command prompt. But the commands conda --version and ipython --version just yield the respective version numbers and not the information I am looking for.

My operating system is Win7x64 but that hasn't prevented me from installing 32-bit softwares in past.

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Shashank Sawant Avatar asked Oct 29 '14 02:10

Shashank Sawant


People also ask

How can I tell if my Anaconda is 64-bit?

Linux Operating Systems: Scroll to the "Anaconda for Linux" section. Look in the column with Python 3.5. You can look here for how to determine your version 32-bit or 64-bit.

How can I tell what version of Anaconda I have installed?

Use the conda -V Command to Check Anaconda Version On the Anaconda prompt, issue the conda --V command to check the Anaconda version.

How do you find Python is 64 or 32-bit?

Python Version Bit – Does My Python Shell Run 32 Bit or 64 Bit Version? To check which bit version the Python installation on your operating system supports, simply run the command “ python ” (without quotes) in your command line or PowerShell (Windows), terminal (Ubuntu, macOS), or shell (Linux).

How do you check if Anaconda is correctly installed?

To test your installation, in your Terminal window or Anaconda Prompt, run the command conda list . For a successful installation, a list of installed packages appears.


1 Answers

conda info has this information. If you need to access it programmatically, use conda info --json.

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asmeurer Avatar answered Sep 21 '22 14:09

asmeurer