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Managing conda and anaconda
conda info Verify conda is installed, check version #
conda update conda Update conda package and environment manager
to current version
conda update anaconda Update the anaconda meta package (the library of
packages ready to install with conda command)
Managing environments
conda info --envs or conda info -e Get a list of all my environments, active
environment shown with *
conda create --name snowflakes biopython
or
conda create -n snowflakes biopython
Create an environment and install program(s)
TIP: To avoid dependency conflicts, install all programs in
the environment (snowflakes) at the same time.
TIP: Environments install by default into the envs directory
see conda create --help for details.
source activate snowflakes (Linux, OS X)
activate snowflakes (Windows)
Activate the new environment to use it
TIP: Activate prepends the path to the snowflakes environment.
conda create -n bunnies python=3.4 astroid Create a new environment, specify Python
version
conda create -n flowers --clone snowflakes Make exact copy of an environment
conda remove -n flowers --all Delete an environment
Managing Python
conda search --full-name python
or
conda search -f python
Check versions of Python available to install
conda create -n snakes python=3.
source activate snakes (Linux, OS X)
activate snakes (Windows)
Switch to the new environment that has a
TIP: Activate prepends the path to the snakes environment.
Managing .condarc configuration
conda config --get (^) Get all keys and values from my .condarc file
conda config --get channels (^) Get value of the key channels from .condarc file
conda config --add channels pandas (^) Add a new value to channels so conda looks for
packages in this location
Conda user cheat sheet
For full documentation of any command, type the command followed by --help .
conda create --help
TIP: Many options after two dashes (--) have shortcuts.
conda create --help or conda create -h
Take a conda test drive at bit.ly/tryconda
conda env export > puppies.yml
conda env create -f puppies.yml
Save current environment to a file
Load environment from a file
Remove packages, environments, or channels
conda remove --name bunnies beautiful-soup (^) Remove one package from any named
environment
conda remove beautiful-soup (^) Remove one package from the active
environment
conda remove --name bunnies beautiful-soup astroid Remove multiple packages from
any environment
conda remove --name snakes --all (^) Remove an environment
Managing packages, including Python
conda list (^) View list of packages and versions installed in
active environment
conda search beautiful-soup (^) Search for a package to see if it is available to
conda install
conda install -n bunnies beautiful-soup (^) Install a new package
NOTE: If you do not include the name of the new
environment ( -n bunnies ) it will install in the current
active environment.
TIP: To view list of all packages available through conda
install , visit http://docs.continuum.io/anaconda/pkg-docs
conda update beautiful-soup (^) Update a package in the current environment
conda search --override-channels -c pandas bottleneck Search for a package in a
specific location (the pandas channel on
Anaconda.org)
conda install -c pandas bottleneck (^) Install a package from a specific channel
NOTE: Or go to Anaconda.org in the browser and
search by package name. This will show the specific
channel (owner) through which it is available.
conda search --override-channels -c defaults beautiful-soup (^) Search for a package
to see if it is available from the Anaconda repository
source activate bunnies (Linux, OS X)
activate bunnies (Windows)
pip install see
Activate the environment where you want to
install a package and install it with pip (included
with Anaconda and Miniconda)
conda install iopro accelerate (^) Install commercial Continuum packages
More resources
Free community support https://groups.google.com/a/continuum.io/forum/#!forum/anaconda
Online documentation http://conda.pydata.org/docs/
Paid support options http://continuum.io/support
Continuum onsite training courses https://www.continuum.io/training
Continuum consulting services http://continuum.io/consulting/
conda skeleton pypi pyinstrument
conda build pyinstrument
Build a Conda package from a Python Package Index
(PyPI) Package
