Conda commands (create virtual environments for Python with conda) - Deep Learning Garden (2023)

This post contains some commonly used conda commands.

(I use both Mac and Linux operating systems, so the commands here assume you're using Mac and Linux operating systems. If you're using Windows, most conda commands should be the same, but some commands may differ slightly For example the I'm aware that the command to enable and disable the conda environment is slightly different, you don't need to add "source" to the command like on Mac and Linux OS).

(You must have Miniconda or Anaconda installed on your computer to use Conda. Give it a tryHereto install Miniconda on Mac, andHereto install Miniconda on CentOS7/RedHat7. Check overHereif you want to know the difference between Miniconda and Anaconda.)

The first part of this post introduces general conda commands and the second part of this post provides some package installations (e.g. OpenCV, scikit-image, jupyter notebook, etc.) using conda.

general conda commands

Check if Conda is installed / check Conda version info

In your terminal, enter the following command

$ conda -V # If you see something like below, it means conda is installed and provides information about its version. conda 4.5.11

Make sure Conda is up to date

Enter in your terminal

$ conda update conda#Update any packages if necessary by typing the followingjkeep going.

Create a virtual environment for your project with Conda

With Conda we can create a virtual environment for different Python versions.

To see a list of Python versions available in the conda repository, enter the following command with a regular expression and presstap.

$ conda search "^python$"# You should see a list of Python versions including python2.X and python3.X

Now let's create a virtual environment using Conda

Use the following command to create a virtual environment for a Python version you specify. Replace x.x with the Python version you want to use.

$ conda create -nseuenvname Python=x.x#For example, the following command creates a Python 3.6 Conda virtual environment named "conda-venv3_py36".$ conda create -nconda-venv3_py36python=3.6# The following command creates a Python 2.7 conda virtual environment named "conda-venv_py27".$ conda create -nconda-venv_py27python=2.7

Pressjkeep going. This will install the Python version (and any associated Anaconda package libraries if you installed Conda via Anaconda) to path_to_your_anaconda_location/anaconda/envs/yourenvname or to path_to_your_miniconda_location/miniconda/envs/yourenvname.

Activate your virtual environment

Once a virtual environment has been created with Conda, if we need to use the virtual environment, before we use it, we must first activate it.

To activate or switch to your virtual environment, simply type the following, where yourenvname is the name you gave your environment when you created it.

$ Activate fontseuenvname

Enabling a conda environment will change the PATH and shell variables to point to the specific isolated python you created. Note that thecommand promptchanges to indicate which conv environment you are currently connected to(YourVName).

If you don't remember your virtual environment or don't want to enter it, you can use the following command to display a list of all your environments.

$ conda info -e

Install (additional) Python packages in a virtual environment

To install packages only in your virtual environment (not system-wide), enter the following command

$ conda install -nseuenvname Paketnamen#seuenvnameis the name of your environment andPackage-name is the name of the package you want to install. #Note that if you type "-nseuenvname' installs the package in the root Python installation.

Or you can just activate first and in the virtual environment you want to install use the packages [see above command in (4)] and then use the following command

Install $condaPaketnamen

(To install some specific packages, see Section 2 at the bottom of this post.)

Deactivate your virtual environment.

Every time we finish working on your virtual environment created with Conda, we have to deactivate the virtual environment to finish it.

To end a session in the current virtual environment, enter the following command.

$Thosedeactivate#Note that we don't need to specify the environment name - whatever is currently active will be deactivated and the PATH and shell variables will go back to normal.

Delete a virtual environment

If we no longer need a virtual environment created by conda, we can easily remove it with the following command.

remove conda -nseuenvname-at#seuenvnameis the name of the environment you want to delete. # (You can use $ conda env remove -nmyv.)

To verify that the environment has been removed, run the following in the terminal window or from a conda prompt

$cond Information-e

The displayed list of environments should not show the remote environment.

Cloning a Conda Virtual Environment

To create an exact copy of an environment by making a clone of it, use the following command:

$cond create --Name Microlon --Clone myv# NOTE: replaceMicrolonwith the name of the new environment. Substitutemyvwith the name of the existing environment you want to copy.# Below is an example of cloningpy35and naming the new copy aspy35-2$ conda create --clonepy35--Namepy35-2 

To verify that the copy was made:

In the mine Information -e

In the list of environments that is displayed, you can see the source environment and the new copy.

How to view a list of your environments

To see a list of all your virtual conda environments, run in your terminal or one of your virtual conda environmentsone of the followingCommands:

$cond Information-eOR$ conda info--lista envs OR$ conda env

Displaying a list of packages in a conda environment

To view a list of all packages installed in a specific environment,

• If the environment is not enabled, run the following from the terminal window or a conda prompt:

$ Conda-List -nmyv

• With the environment enabled, run the following from the terminal window or a conda prompt:

$ conda-lists

To see if a specific package is installed in a conda environment,

• If the environment is not enabled, run the following from the terminal window or a conda prompt:

$ Conda-List -nmyv Paketnamen# For example, the following command lists the opencv versions installed in the conda environment you specified$ Conda-List -nmyenv opencv

• With the environment enabled, run the following from the terminal window or a conda prompt:

$ conda-listsPaketnamen# For example, the following command lists the opencv versions installed in the current active conda environment you are in$ conda-listsopencv

Package installation with conda

Before installing packages with conda, make sure you first create a conda virtual environment [see the command in (3) in section 1 above in this post] and then activate and in the environment where you want to install the packages want to install [see the command for ( 4) in section 1 above in this post].

To installUntil now

$ conda install numpy

To installMatplotlibGenericName

Install $ conda matplotlib

To installStand

$ conda installs Keras

This should also install Tensorflow

To installh5py

$ conda install h5py

To installCaderno Jupyter

$ conda installs jupyter

To installIPythonName

$ conda installs ipython

Install OpenCV3 (https://opencv.org/)

$ conda install -c conda-forge opencv

The above command installs (by default) the latest version of opencv available in the conda repository. If you want to specify which version of openCV to install, you can first use the following command to check the available OpenCV versions.

$ conda search "^openCV$"  # You should see a list of openCV versions.

Then you can use the following command to install the OpenCV version you want to install,

$ conda install -c conda-forge opencv=x.x# For example, the following command will install openCV 3..4.1 instead of the current latest version 3.4.2. Note that when opencv=3.4 it installs openCV3.4.2 (the latest version of the 3.4 series), it's opencv==3.4.1, not opencv=3.4.$ conda install -c conda-forge opencv==3.4.1

To installScikit Image

$ conda install -c conda-forge scikit-image

To installDjango

Use the following command to see what version of Django is available in your conda environment.

$ conda search "^django$"

Use the following command to install the specific version of Django you want installed in your conda environment.

$ conda install -c conda-forge django==1.11.8

Use the following to test if Django was successfully installed in your conda environment.

$ Python
Python 3.6.7 |Anaconda, Inc.| (Standard, October 23, 2018, 19:16:44)
[GCC 7.3.0] no Linux
Type Help, Copyright, Credits, or License for more information.
>>>Import Django
>>>print(django.__version__)
1.11.8
>>>

Install non-conda packages

If a package is not available on conda or Anaconda.org, you can find and install the package using conda-forge or another package manager like pip.

Pip packages do not have all the features of conda packages and we recommend trying to install a package with conda first. If the package is not available via conda, try to find and install it withConda Forge.

If you still can't install the package, try pip. Differences between the pip and conda packages cause certain unavoidable compatibility issues, but conda works hard to be as compatible with pip as possible.

Remove packages with conda

• To remove a package like SciPy in an environment like myenv:

  conda remove -n myenv scipy

• To remove a package like SciPy in the current environment:

  conda removes scipy

• To remove multiple packages at once, e.g. B. SciPy and cURL:

  conda entfernen scipy curl

• To confirm a package has been removed:

  In the mine Listthe package name

  (Video) The Complete Guide to Python Virtual Environments!

references

• Build virtual environments for Python with Conda
• Condas Spickzettel(Pdfif unrecoverable)
• Command Reference - Conda Documentation
• Environment Management - Conda Documentation(Pdfif unrecoverable)
• https://github.com/jrobchin/Computer-Vision-Basics-with-Python-Keras-and-OpenCV
• Manage Packages - conda