Install Dask¶
You can install dask with conda
, with pip
, or by installing from source.
Conda¶
Dask is installed by default in Anaconda. You can update Dask using the conda command:
conda install dask
This installs Dask and all common dependencies, including Pandas and NumPy. Dask packages are maintained both on the default channel and on conda-forge. Optionally, you can obtain a minimal Dask installation using the following command:
conda install dask-core
This will install a minimal set of dependencies required to run Dask similar to (but not exactly the same as) python -m pip install dask
below.
Pip¶
You can install everything required for most common uses of Dask (arrays, dataframes, …) This installs both Dask and dependencies like NumPy, Pandas, and so on that are necessary for different workloads. This is often the right choice for Dask users:
python -m pip install "dask[complete]" # Install everything
You can also install only the Dask library. Modules like dask.array
,
dask.dataframe
, dask.delayed
, or dask.distributed
won’t work until you also install NumPy,
Pandas, Toolz, or Tornado, respectively. This is common for downstream library
maintainers:
python -m pip install dask # Install only core parts of dask
We also maintain other dependency sets for different subsets of functionality:
python -m pip install "dask[array]" # Install requirements for dask array
python -m pip install "dask[bag]" # Install requirements for dask bag
python -m pip install "dask[dataframe]" # Install requirements for dask dataframe
python -m pip install "dask[delayed]" # Install requirements for dask delayed
python -m pip install "dask[distributed]" # Install requirements for distributed dask
We have these options so that users of the lightweight core Dask scheduler aren’t required to download the more exotic dependencies of the collections (Numpy, Pandas, Tornado, etc.).
Install from Source¶
To install Dask from source, clone the repository from github:
git clone https://github.com/dask/dask.git
cd dask
python -m pip install .
You can also install all dependencies as well:
python -m pip install ".[complete]"
You can view the list of all dependencies within the extras_require
field
of setup.py
.
Or do a developer install by using the -e
flag:
python -m pip install -e .
Anaconda¶
Dask is included by default in the Anaconda distribution.
Optional dependencies¶
Specific functionality in Dask may require additional optional dependencies.
For example, reading from Amazon S3 requires s3fs
.
These optional dependencies and their minimum supported versions are listed below.
Dependency |
Version |
Description |
---|---|---|
bokeh |
>=1.0.0 |
Visualizing dask diagnostics |
cloudpickle |
>=0.2.2 |
Pickling support for Python objects |
cityhash |
Faster hashing of arrays |
|
distributed |
>=2.0 |
Distributed computing in Python |
fastparquet |
Storing and reading data from parquet files |
|
fsspec |
>=0.6.0 |
Used for local, cluster and remote data IO |
gcsfs |
>=0.4.0 |
File-system interface to Google Cloud Storage |
murmurhash |
Faster hashing of arrays |
|
numpy |
>=1.13.0 |
Required for dask.array |
pandas |
>=0.23.0 |
Required for dask.dataframe |
partd |
>=0.3.10 |
Concurrent appendable key-value storage |
psutil |
Enables a more accurate CPU count |
|
pyarrow |
>=0.14.0 |
Python library for Apache Arrow |
s3fs |
>=0.4.0 |
Reading from Amazon S3 |
sqlalchemy |
Writing and reading from SQL databases |
|
cytoolz/toolz |
>=0.8.2 |
Utility functions for iterators, functions, and dictionaries |
xxhash |
Faster hashing of arrays |
Test¶
Test Dask with py.test
:
cd dask
py.test dask
Please be aware that installing Dask naively may not install all
requirements by default. Please read the pip
section above which discusses
requirements. You may choose to install the dask[complete]
version which includes
all dependencies for all collections. Alternatively, you may choose to test
only certain submodules depending on the libraries within your environment.
For example, to test only Dask core and Dask array we would run tests as
follows:
py.test dask/tests dask/array/tests