Properties (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
DataFrame
|
| https://www.w3.org/2000/01/rdf-schema#label |
Dask-DataFrame
|
| gptkbp:integration |
scikit-learn
NumPy SciPy matplotlib seaborn |
| gptkbp:isAvailableIn |
GitHub
|
| gptkbp:isCompatibleWith |
gptkb:Python_3.x
gptkb:Pandas Python 2.x |
| gptkbp:isDocumentedIn |
Dask documentation
|
| gptkbp:isFacilitatedBy |
missing data
|
| gptkbp:isFiledIn |
gptkb:C++
C Python Cython |
| gptkbp:isOpenTo |
true
|
| gptkbp:isOptimizedFor |
performance
out-of-core computation |
| gptkbp:isPartOf |
gptkb:Dask
data science tools Dask_ecosystem |
| gptkbp:isSuitableFor |
big data processing
distributed systems multi-core processors |
| gptkbp:isSupportedBy |
gptkb:Anaconda
|
| gptkbp:isUsedBy |
data scientists
data engineers |
| gptkbp:isUsedFor |
gptkb:HDF5
CSV JSON machine learning Jupyter notebooks Parquet data transformation data visualization statistical analysis data cleaning data modeling cloud computing platforms data exploration Pandas DataFrame data wrangling ETL_processes |
| gptkbp:isUsedIn |
data analysis
|
| gptkbp:isVisitedBy |
Dask_community
|
| gptkbp:mayHave |
time series analysis
filter operations join operations aggregation operations groupby_operations |
| gptkbp:provides |
parallel computing capabilities
|
| gptkbp:supports |
large datasets
|