How to Install dask in Python
Parallel PyData with Task Scheduling
pip install dask
What is dask?
Parallel PyData with Task Scheduling
Dask is a flexible parallel computing library for analytics. See documentation for more information.
Quick Start
Minimal example to get started with dask:
import dask
print(dask.__version__)
Installation
pip (standard)
pip install dask
Virtual environment (recommended)
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install dask
pip3
pip3 install dask
conda
conda install -c conda-forge dask
Poetry
poetry add dask
Dependencies
Installing dask will also install these packages:
Verify the Installation
After installing, confirm the package is available:
python -c "import dask; print(dask.__version__)"
If this prints a version number, installation succeeded. If you see a ModuleNotFoundError, see the errors section below.
Installation Errors
Common errors when installing dask with pip.
ModuleNotFoundError: No module named 'dask'
Cause: The package is not installed in the current Python environment.
Fix: Run pip install dask. If using a virtual environment, ensure it is activated first.
ModuleNotFoundError: No module named 'dask' (installed but still failing)
Cause: pip installed the package into a different Python than the one running your script.
Fix: Use python -m pip install dask to install into the interpreter you are running.
ImportError: cannot import name 'X' from 'dask'
Cause: The function or class does not exist in the installed version.
Fix: Check the version with pip show dask and upgrade with pip install --upgrade dask.
pip: command not found
Cause: pip is not in PATH or Python was not added to PATH during installation.
Fix: Try python -m pip install dask. On macOS/Linux try pip3.
PermissionError: [Errno 13] Permission denied
Cause: No write access to the system Python package directory.
Fix: Use a virtual environment, or add --user: pip install --user dask
SSL: CERTIFICATE_VERIFY_FAILED
Cause: pip cannot verify PyPI's SSL certificate — common behind corporate proxies.
Fix: Try: pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org dask
MemoryError when loading data
Cause: Dataset is too large to fit in RAM.
Fix: Read in chunks, filter columns on load, or consider Polars/Dask for out-of-core processing.
Recent Releases
| Version | Released |
|---|---|
2026.3.0 latest |
2026-03-18 |
2026.1.2 |
2026-01-30 |
2025.3.1 |
2026-01-29 |
2025.9.2 |
2026-01-26 |
2026.1.0 |
2026-01-16 |
Manage dask
Upgrade to latest version
pip install --upgrade dask
Install a specific version
pip install dask==2026.3.0
Uninstall
pip uninstall dask
Check what is installed
pip show dask