Osx Conda

  
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I recently installed Anaconda3 on my Macbook Air, with the intention of working with Jupyter Notebook. Everything seemed to work fine with bash on Terminal, but ZSH on iTerm2 could not find the. Search all of the current user's environments. If run as Administrator (on Windows) or UID 0 (on unix), search all known environments on the system. Provide detailed information about each package. Search the given subdir. Should be formatted like 'osx-64', 'linux-32', 'win-64', and so on. The default is to search the current platform. Conda install osx-arm64 v12.0.1; linux-64 v12.0.1; osx-64 v12.0.1; To install this package with conda run one of the following: conda install -c conda-forge clangosx-arm64.

How to set up a virtual environments using conda for the Anaconda Python distribution

A virtual environment is a named, isolated, working copy of Python that that maintains its own files, directories, and paths so that you can work with specific versions of libraries or Python itself without affecting other Python projects. Virtual environmets make it easy to cleanly separate different projects and avoid problems with different dependencies and version requiremetns across components. The conda command is the preferred interface for managing intstallations and virtual environments with the Anaconda Python distribution. If you have a vanilla Python installation or other Python distribution see virtualenv

Outline

  • Check conda is installed and available
  • Update conda if necessary
  • Create a virtual environment
  • Activate a virtual environment
  • Install additional python packages
  • Deactivate a virtual environment
  • Delete a virtual environment

Jargon

link to PATH,

Requirements

  • Anaconda Python distribution installed and accessible

1. Check conda is installed and in your PATH

  1. Open a terminal client.
  2. Enter conda -V into the terminal command line and press enter.
  3. If conda is installed you should see somehting like the following.

2. Check conda is up to date

  1. In the terminal client enter
  1. Upadate any packages if necessary by typing y to proceed.

3. Create a virtual environment for your project

  1. In the terminal client enter the following where yourenvname is the name you want to call your environment, and replace x.x with the Python version you wish to use. (To see a list of available python versions first, type conda search '^python$' and press enter.)
  1. Press y to proceed. This will install the Python version and all the associated anaconda packaged libraries at “path_to_your_anaconda_location/anaconda/envs/yourenvname”

4. Activate your virtual environment.

  1. To activate or switch into your virtual environment, simply type the following where yourenvname is the name you gave to your environement at creation.
  1. Activating a conda environment modifies the PATH and shell variables to point to the specific isolated Python set-up you created. The command prompt will change to indicate which conda environemnt you are currently in by prepending (yourenvname). To see a list of all your environments, use the command conda info -e.

5. Install additional Python packages to a virtual environment.

  1. To install additional packages only to your virtual environment, enter the following command where yourenvname is the name of your environemnt, and [package] is the name of the package you wish to install. Failure to specify “-n yourenvname” will install the package to the root Python installation.

6. Deactivate your virtual environment.

  1. To end a session in the current environment, enter the following. There is no need to specify the envname - which ever is currently active will be deactivated, and the PATH and shell variables will be returned to normal.

6. Delete a no longer needed virtual environment

  1. To delete a conda environment, enter the following, where yourenvname is the name of the environment you wish to delete.

Related info

The conda offical documentation can be found here.

@cammerschooner

Search for packages and display associated information.

The input is a MatchSpec, a query language for conda packages.See examples below.

Options:

Osx Conda Drive

Named Arguments¶

--envs

Search all of the current user's environments. If run as Administrator (on Windows) or UID 0 (on unix), search all known environments on the system.

-i, --info

Provide detailed information about each package.

--subdir, --platform

Search the given subdir. Should be formatted like 'osx-64', 'linux-32', 'win-64', and so on. The default is to search the current platform.

Channel Customization¶

-c, --channel
Additional channel to search for packages. These are URLs searched in the order

they are given (including local directories using the 'file://' syntax orsimply a path like '/home/conda/mychan' or '../mychan'). Then, the defaultsor channels from .condarc are searched (unless --override-channels is given). You can use'defaults' to get the default packages for conda. You can also use any name and the.condarc channel_alias value will be prepended. The default channel_aliasis http://conda.anaconda.org/.

--use-local

Use locally built packages. Identical to '-c local'.

--override-channels

Do not search default or .condarc channels. Requires --channel.

--repodata-fn

Specify name of repodata on remote server. Conda will try whatever you specify, but will ultimately fall back to repodata.json if your specs are not satisfiable with what you specify here. This is used to employ repodata that is reduced in time scope. You may pass this flag more than once. Leftmost entries are tried first, and the fallback to repodata.json is added for you automatically.

Networking Options¶

-C, --use-index-cache

Use cache of channel index files, even if it has expired.

-k, --insecure

Allow conda to perform 'insecure' SSL connections and transfers. Equivalent to setting 'ssl_verify' to 'false'.

--offline

Offline mode. Don't connect to the Internet.

Output, Prompt, and Flow Control Options¶

Osx conda install
--json

Osx Conda Install Tensorflow

Report all output as json. Suitable for using conda programmatically.

-v, --verbose

Use once for info, twice for debug, three times for trace.

-q, --quiet

Do not display progress bar.

Examples:

Search for a specific package named 'scikit-learn':

conda search scikit-learn

Search for packages containing 'scikit' in the package name:

Note that your shell may expand '*' before handing the command over to conda.Therefore it is sometimes necessary to use single or double quotes around the query.

Osx Conda Command

conda search 'scikit'conda search '*scikit'

Search for packages for 64-bit Linux (by default, packages for your currentplatform are shown):

Osx Conda Command Not Found

Search for a specific version of a package:

conda search 'numpy>=1.12'

Search for a package on a specific channel

conda search conda-forge::numpyconda search 'numpy[channel=conda-forge, subdir=osx-64]'