If you wish to get started with this course without installing Conda, then you can use a pre-configured instance running on Binder by clicking on the link below.
Check to see if Conda is already installed
If you have ever installed the Anaconda Python distribution on your local machine, then you already have Conda installed! Mac and Linux users can check whether Conda is installed by running the following command in a terminal.
$ which conda /Users/$USERNAME/miniconda3/bin/conda
If Conda has already been installed on your machine, then you this command should return the absolute path to the conda executable.
Windows users should search for “Anaconda” to see if the “Anaconda Command Prompt” shows up as an option, if it does then you already have Conda installed.
Install Python 3 version of Miniconda
If Conda has not been installed on your machine, then install the Python 3 version of Miniconda from Anaconda for your OS. As the name suggests, Miniconda is a “mini” version of the Anaconda Python distribution that includes only Conda, a Python 3 distribution, and any necessary OS-specific dependencies.
For convenience here are links to the 64-bit GUI Miniconda installers.
Prefer Miniconda to Anaconda
I suggest installing Miniconda which combines Conda with Python 3 (and a small number of core systems packages) instead of the full Anaconda distribution. Installing only Miniconda will encourage you to create separate environments for each project (and to install only those packages that you actually need for each project!). Project specific environments enhance portability and reproducibility of your research and workflows.
Besides, if you really want the full Anaconda distribution you can always create an new conda environment and install it using the following command.
$ conda create --name my-anaconda-env anaconda=5.3
We will discuss the above command in great depth in the workshop.
I will walk through the steps for installing on Linux systems below as installing on Linux systems is slightly more involved. First, download the 64-bit Python 3 install script for Miniconda (clicking the link above will download the same script!).
wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
Run the Miniconda install script. Follow the prompts on the installer screens. If you are unsure about any setting, accept the defaults (you can change them later if necessary).
Once the install script completes, you can remove it.
Verifying your Conda installation
In order to verify that you have installed Conda correctly run the
conda help command. Output
of the command should look similar to the following.
$ conda help usage: conda [-h] [-V] command ... conda is a tool for managing and deploying applications, environments and packages. Options: positional arguments: command clean Remove unused packages and caches. config Modify configuration values in .condarc. This is modeled after the git config command. Writes to the user .condarc file (/Users/drpugh/.condarc) by default. create Create a new conda environment from a list of specified packages. help Displays a list of available conda commands and their help strings. info Display information about current conda install. init Initialize conda for shell interaction. [Experimental] install Installs a list of packages into a specified conda environment. list List linked packages in a conda environment. package Low-level conda package utility. (EXPERIMENTAL) remove Remove a list of packages from a specified conda environment. uninstall Alias for conda remove. run Run an executable in a conda environment. [Experimental] search Search for packages and display associated information. The input is a MatchSpec, a query language for conda packages. See examples below. update Updates conda packages to the latest compatible version. upgrade Alias for conda update. optional arguments: -h, --help Show this help message and exit. -V, --version Show the conda version number and exit. conda commands available from other packages: env
At the bottom of the help menu you will see a section with some optional arguments for the
conda command. In particular you can pass the
--version flag which will return the version
number. Again output should look similar to the following.
$ conda --version conda 4.8.2
Make sure you have the most recent version
Once Conda exists on your machine, then run the following command to make sure that you have the most recent version and patches.
$ conda update --name base --channel defaults --yes conda
You can re-run this command at any time to update to the most recent version of Conda.
Initializing your shell for Conda
Key parts of Conda’s functionality require that it interact directly with the shell within which
Conda commands are being invoked as such each shell must be configured to make use of them. The
conda init command initializes a shell for use with Conda by making changes to your system that
are specific and customized for each shell. Conda supports a number of different shells and you
conda init --help to see the complete list.
Mac OSX and Linux users will want to initialize Conda for Bash as follows. If you are installing on Linux, then you may be prompted to initialize Conda for your shell when running the installation script. If so, then you can safely skip this step.
$ conda init bash
Windows users can either use the Anaconda Command Prompt or the Anaconda Powershell Prompt which are already initialized for Conda or they can initialize Conda for Powershell as follows.
> conda init powershell
conda init you will need to close and restart your shell for changes to take
effect. Alternatively, Mac OS and Linux users can reload your
~/.bashrc profile (which was
changed by running the
conda init command). To reload your
~/.bashrc profile, use the
$ source ~/.bashrc
If you want to reverse or “undo” the changes made by
conda init, then you can re-run the
conda init command and pass the
--reverse option. Again, in order for the reversal to take
effect you will likely need to close and restart your shell session.
In order to maintain a consistent workspace for all learners create an
introduction-to-conda-for-data-scientists directory on your Desktop to serve as the working
directory for the duration of the lesson. On Mac OSX and Linux running following commands in the
Terminal will create the required directory on the Desktop.
$ cd ~/Desktop $ mkdir introduction-to-conda-for-data-scientists $ cd introduction-to-conda-for-data-scientists
For Windows users you will need to reverse the direction of the slash (because Windows) and run the commands from the command prompt.
> cd ~\Desktop > mkdir introduction-to-conda-for-data-scientists > cd introduction-to-conda-for-data-scientists
Alternatively, you can always “right-click” and “create new folder” on your Desktop.