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Title: GitHub - bfis/awkward-array: Manipulate arrays of complex data structures as easily as Numpy. · GitHub

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BSD-3-Clause licensehttps://github.com/bfis/awkward-array
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https://github.com/bfis/awkward-array#awkward-array
https://travis-ci.org/scikit-hep/awkward-array
https://doi.org/10.5281/zenodo.3275017
https://mybinder.org/v2/gh/scikit-hep/awkward-array/master?urlpath=lab/tree/binder%2Ftutorial.ipynb
columnar data structureshttps://towardsdatascience.com/the-beauty-of-column-oriented-data-2945c0c9f560
HDF5https://www.hdfgroup.org
Parquethttps://parquet.apache.org
ROOThttps://root.cern
Arrowhttps://arrow.apache.org
awkward-1.0https://github.com/jpivarski/awkward-1.0
https://github.com/bfis/awkward-array#installation
condahttps://conda.io/en/latest/miniconda.html
Numpyhttps://scipy.org/install.html
https://github.com/bfis/awkward-array#recommended-packages
pyarrowhttps://arrow.apache.org/docs/python/install.html
h5pyhttps://www.h5py.org
Pandashttps://pandas.pydata.org
https://github.com/bfis/awkward-array#questions
StackOverflowhttps://stackoverflow.com/questions/tagged/awkward-array
https://stackoverflow.com/questions/tagged/awkward-array
GitHub issues tabhttps://github.com/scikit-hep/awkward-array/issues
https://github.com/bfis/awkward-array#tutorial
https://mybinder.org/v2/gh/scikit-hep/awkward-array/master?urlpath=lab/tree/binder%2Ftutorial.ipynb
Introductionhttps://github.com/bfis/awkward-array#introduction
Overview with sample datasetshttps://github.com/bfis/awkward-array#overview-with-sample-datasets
NASA exoplanets from a Parquet filehttps://github.com/bfis/awkward-array#nasa-exoplanets-from-a-parquet-file
NASA exoplanets from an Arrow bufferhttps://github.com/bfis/awkward-array#nasa-exoplanets-from-an-arrow-buffer
Relationship to Pandashttps://github.com/bfis/awkward-array#relationship-to-pandas
LHC data from a ROOT filehttps://github.com/bfis/awkward-array#lhc-data-from-a-root-file
Awkward-array data modelhttps://github.com/bfis/awkward-array#awkward-array-data-model
Mutabilityhttps://github.com/bfis/awkward-array#mutability
Relationship to Arrowhttps://github.com/bfis/awkward-array#relationship-to-arrow
High-level operations common to all classeshttps://github.com/bfis/awkward-array#high-level-operations-common-to-all-classes
Slicing with square bracketshttps://github.com/bfis/awkward-array#slicing-with-square-brackets
Assigning with square bracketshttps://github.com/bfis/awkward-array#assigning-with-square-brackets
Numpy-like broadcastinghttps://github.com/bfis/awkward-array#numpy-like-broadcasting
Support for Numpy universal functions (ufuncs)https://github.com/bfis/awkward-array#support-for-numpy-universal-functions-ufuncs
Global switcheshttps://github.com/bfis/awkward-array#global-switches
Generic properties and methodshttps://github.com/bfis/awkward-array#generic-properties-and-methods
Reducershttps://github.com/bfis/awkward-array#reducers
Properties and methods for jaggednesshttps://github.com/bfis/awkward-array#properties-and-methods-for-jaggedness
Properties and methods for tabular columnshttps://github.com/bfis/awkward-array#properties-and-methods-for-tabular-columns
Properties and methods for missing valueshttps://github.com/bfis/awkward-array#properties-and-methods-for-missing-values
Functions for structure manipulationhttps://github.com/bfis/awkward-array#functions-for-structure-manipulation
Functions for input/output and conversionhttps://github.com/bfis/awkward-array#functions-for-inputoutput-and-conversion
High-level typeshttps://github.com/bfis/awkward-array#high-level-types
Low-level layoutshttps://github.com/bfis/awkward-array#low-level-layouts
https://github.com/bfis/awkward-array#introduction
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array of structshttps://en.wikipedia.org/wiki/AOS_and_SOA
struct of arrayshttps://en.wikipedia.org/wiki/AOS_and_SOA
https://github.com/bfis/awkward-array#overview-with-sample-datasets
Parquethttps://parquet.apache.org
Arrowhttps://arrow.apache.org
ROOThttps://root.cern
uproothttps://github.com/scikit-hep/uproot
HDF5https://www.hdfgroup.org
h5pyhttps://www.h5py.org/
https://github.com/bfis/awkward-array#nasa-exoplanets-from-a-parquet-file
pyarrowhttps://arrow.apache.org/docs/python
https://github.com/bfis/awkward-array#nasa-exoplanets-from-an-arrow-buffer
potentially habitable exoplanethttps://www.nasa.gov/ames/kepler/kepler-186f-the-first-earth-size-planet-in-the-habitable-zone
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https://github.com/bfis/awkward-array#awkward-array-data-model
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array of structshttps://en.wikipedia.org/wiki/AOS_and_SOA
masked arrayhttps://docs.scipy.org/doc/numpy/reference/maskedarray.html
dense union typehttps://arrow.apache.org/docs/memory_layout.html#dense-union-type
integer array indexinghttps://docs.scipy.org/doc/numpy/reference/arrays.indexing.html#integer-array-indexing
coordinate format (COO)https://scipy-lectures.org/advanced/scipy_sparse/coo_matrix.html
array classeshttps://github.com/scikit-hep/awkward-array/blob/master/docs/classes.adoc
Jaggednesshttps://github.com/scikit-hep/awkward-array/blob/master/docs/classes.adoc#jaggedness
JaggedArrayhttps://github.com/scikit-hep/awkward-array/blob/master/docs/classes.adoc#jaggedarray
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VirtualArrayhttps://github.com/scikit-hep/awkward-array/blob/master/docs/classes.adoc#virtualarray
https://github.com/bfis/awkward-array#mutability
https://github.com/bfis/awkward-array#relationship-to-arrow
Apache Arrowhttps://arrow.apache.org
pyarrowhttps://arrow.apache.org/docs/python
primitive arrayshttps://arrow.apache.org/docs/memory_layout.html#primitive-value-arrays
Nullabilityhttps://arrow.apache.org/docs/memory_layout.html#null-bitmaps
dictionary encodinghttps://arrow.apache.org/docs/memory_layout.html#dictionary-encoding
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dictionary encodinghttps://arrow.apache.org/docs/memory_layout.html#dictionary-encoding
https://github.com/bfis/awkward-array#high-level-operations-common-to-all-classes
https://github.com/bfis/awkward-array#slicing-with-square-brackets
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record arrayshttps://docs.scipy.org/doc/numpy/user/basics.rec.html
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record arrayshttps://docs.scipy.org/doc/numpy/user/basics.rec.html
https://github.com/bfis/awkward-array#assigning-with-square-brackets
https://github.com/bfis/awkward-array#numpy-like-broadcasting
boradcastinghttps://docs.scipy.org/doc/numpy/user/basics.broadcasting.html
https://github.com/bfis/awkward-array#support-for-numpy-universal-functions-ufuncs
https://github.com/bfis/awkward-array#global-switches
https://github.com/bfis/awkward-array#generic-properties-and-methods
Numpy dtypehttps://docs.scipy.org/doc/numpy/reference/arrays.dtypes.html
Numpy shapehttps://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.shape.html
https://github.com/bfis/awkward-array#reducers
numpy.varhttps://docs.scipy.org/doc/numpy/reference/generated/numpy.var.html
https://github.com/bfis/awkward-array#properties-and-methods-for-jaggedness
cross-joinhttps://en.wikipedia.org/wiki/Join_(SQL)#Cross_join
self-joinhttps://en.wikipedia.org/wiki/Join_(SQL)#Self-join
self-joinhttps://en.wikipedia.org/wiki/Join_(SQL)#Self-join
https://github.com/bfis/awkward-array#properties-and-methods-for-tabular-columns
https://github.com/bfis/awkward-array#properties-and-methods-for-missing-values
https://github.com/bfis/awkward-array#functions-for-structure-manipulation
https://github.com/bfis/awkward-array#functions-for-inputoutput-and-conversion
docs/fromiter.adochttps://github.com/scikit-hep/awkward-array/blob/master/docs/fromiter.adoc
docs/serialization.adochttps://github.com/scikit-hep/awkward-array/blob/master/docs/serialization.adoc
Apache Arrowhttps://arrow.apache.org
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UnionArrayhttps://arrow.apache.org/docs/python/generated/pyarrow.UnionArray.html
RecordBatcheshttps://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html
write it to a streamhttps://arrow.apache.org/docs/python/ipc.html
row grouphttps://parquet.apache.org/documentation/latest/#unit-of-parallelization
Pandas Series and DataFrames through Arrowhttps://arrow.apache.org/docs/python/pandas.html
https://github.com/bfis/awkward-array#high-level-types
product typehttps://en.wikipedia.org/wiki/Product_type
sum typehttps://en.wikipedia.org/wiki/Tagged_union
https://github.com/bfis/awkward-array#low-level-layouts
https://github.com/bfis/awkward-array#acknowledgements
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