Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
data structure
|
| gptkbp:allows |
out-of-core computation
|
| gptkbp:built |
gptkb:Dask_Delayed
|
| gptkbp:can_be |
filter operations
map operations reduce operations disk groupby_operations |
| gptkbp:community |
GitHub
|
| gptkbp:compatibleWith |
gptkb:Pandas
scikit-learn NumPy |
| gptkbp:createdBy |
2016
|
| gptkbp:deployedTo |
pip
conda |
| gptkbp:documentedIn |
Read the Docs
|
| https://www.w3.org/2000/01/rdf-schema#label |
Dask Bag
|
| gptkbp:is_a_resource_for |
I/O operations
|
| gptkbp:is_a_source_of |
true
|
| gptkbp:is_available_in |
Dask_dashboard
|
| gptkbp:is_designed_to |
performance
data processing flexibility scalability distributed systems |
| gptkbp:is_featured_in |
online courses
technical documentation data science tutorials |
| gptkbp:is_part_of |
gptkb:Dask
data engineering workflows Dask_ecosystem |
| gptkbp:is_supported_by |
community contributions
|
| gptkbp:is_used_in |
Python
machine learning Jupyter notebooks data transformation parallel computing data science big data applications cloud computing environments data cleaning data pipelines aggregate data stream data join datasets process JSON data process text data ETL_processes process_CSV_data |
| gptkbp:isFacilitatedBy |
nested data structures
|
| gptkbp:isUsedFor |
gptkb:Dask_Array
iterables Dask DataFrame |
| gptkbp:maintainedBy |
Dask_developers
|
| gptkbp:performance |
multi-core processors
|
| gptkbp:provides |
lazy evaluation
|
| gptkbp:relatedTo |
Apache_Spark_RDDs
|
| gptkbp:suitableFor |
data analysis
real-time analytics |
| gptkbp:supports |
large datasets
|
| gptkbp:transferFee |
Dask DataFrame
|