Conda¶
Conda is an Open Source package and environment manager that can help to manage project dependencies. Conda works on Linux, macOS and Windows. It was created for Python programs, but it can package and distribute software for any language. Therefore it allows us to use it for multi-language projects.
Conda allows you to build your own packages and share them via channels on Anaconda Cloud. There is a community effort to build and maintain packages needed by various projects, called Conda Forge.
You can create conda environments with a specified list of packages,
similar to Python virtualenv.
These environemnts can be documented by a environment.yml
configuration file
and shared with others.
Warning
In this workshop we will install all software packages using Conda.
Installation¶
Note
You don’t need admin rights to install conda and conda packages.
Download and install the appropriate Miniconda installer from https://conda.io/miniconda.html
With Anaconda you can create environments that use any Python version (e.g. Python 2.7 or Python 3.6), so install the latest Python 3.x and if you find out later you need a Python 2.7 environment, you can create one.
Linux/macOS¶
You can copy and paste the following script to install Miniconda with default settings:
if [[ $(uname) == "Darwin" ]]; then
url=https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
elif [[ $(uname) == "Linux" ]]; then
url=https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
fi
curl $url -o miniconda.sh
bash miniconda.sh -b
export PATH=$HOME/miniconda3/bin:$PATH
We also recommend to add the following line to your ~/.bashrc
file to
make Miniconda the Python found first than the system Python:
export PATH=$HOME/miniconda3/bin:$PATH
Windows¶
Run the installer, choose Just Me (not All Users), and choose a Install Location owned by you.
See also the Conda documentaion
Check your Python version¶
We are using Python 3.6:
$ which python
~/miniconda3/bin/python
$ python --version
Python 3.6.2 :: Continuum Analytics, Inc.
Links¶
- https://www.anaconda.com/blog/developer-blog/conda-data-science/
- https://docs.anaconda.com/docs_oss/conda/install/quick
- https://docs.anaconda.com/docs_oss/conda/test-drive
- https://conda.io/docs/user-guide/cheatsheet.html
- https://www.anaconda.com/blog/developer-blog/what-to-do-when-things-go-wrong-in-anaconda/