Skip to main content

Development of awkward 1.0, to replace scikit-hep/awkward-array in 2020.

Project description

Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms.

Arrays are dynamically typed, but operations on them are compiled and fast. Their behavior coincides with NumPy when array dimensions are regular and generalizes when they're not.

How-to documentation
for data analysts

How-it-works tutorials
for developers

C++
API reference

Python
API reference

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

awkward1-0.2.19.tar.gz (570.0 kB view hashes)

Uploaded Source

Built Distributions

awkward1-0.2.19-cp38-cp38-win_amd64.whl (10.3 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

awkward1-0.2.19-cp38-cp38-win32.whl (7.9 MB view hashes)

Uploaded CPython 3.8 Windows x86

awkward1-0.2.19-cp38-cp38-manylinux2010_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

awkward1-0.2.19-cp38-cp38-manylinux1_x86_64.whl (6.9 MB view hashes)

Uploaded CPython 3.8

awkward1-0.2.19-cp38-cp38-manylinux1_i686.whl (7.0 MB view hashes)

Uploaded CPython 3.8

awkward1-0.2.19-cp38-cp38-macosx_10_9_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.8 macOS 10.9+ x86-64

awkward1-0.2.19-cp37-cp37m-win_amd64.whl (10.3 MB view hashes)

Uploaded CPython 3.7m Windows x86-64

awkward1-0.2.19-cp37-cp37m-win32.whl (7.9 MB view hashes)

Uploaded CPython 3.7m Windows x86

awkward1-0.2.19-cp37-cp37m-manylinux2010_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

awkward1-0.2.19-cp37-cp37m-manylinux1_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 3.7m

awkward1-0.2.19-cp37-cp37m-manylinux1_i686.whl (7.1 MB view hashes)

Uploaded CPython 3.7m

awkward1-0.2.19-cp37-cp37m-macosx_10_9_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 3.7m macOS 10.9+ x86-64

awkward1-0.2.19-cp36-cp36m-win_amd64.whl (10.3 MB view hashes)

Uploaded CPython 3.6m Windows x86-64

awkward1-0.2.19-cp36-cp36m-win32.whl (7.9 MB view hashes)

Uploaded CPython 3.6m Windows x86

awkward1-0.2.19-cp36-cp36m-manylinux2010_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

awkward1-0.2.19-cp36-cp36m-manylinux1_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 3.6m

awkward1-0.2.19-cp36-cp36m-manylinux1_i686.whl (7.1 MB view hashes)

Uploaded CPython 3.6m

awkward1-0.2.19-cp36-cp36m-macosx_10_9_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 3.6m macOS 10.9+ x86-64

awkward1-0.2.19-cp35-cp35m-win_amd64.whl (10.3 MB view hashes)

Uploaded CPython 3.5m Windows x86-64

awkward1-0.2.19-cp35-cp35m-win32.whl (7.9 MB view hashes)

Uploaded CPython 3.5m Windows x86

awkward1-0.2.19-cp35-cp35m-manylinux2010_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

awkward1-0.2.19-cp35-cp35m-manylinux1_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 3.5m

awkward1-0.2.19-cp35-cp35m-manylinux1_i686.whl (7.1 MB view hashes)

Uploaded CPython 3.5m

awkward1-0.2.19-cp27-cp27mu-manylinux2010_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ x86-64

awkward1-0.2.19-cp27-cp27mu-manylinux1_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 2.7mu

awkward1-0.2.19-cp27-cp27mu-manylinux1_i686.whl (7.0 MB view hashes)

Uploaded CPython 2.7mu

awkward1-0.2.19-cp27-cp27m-win_amd64.whl (10.3 MB view hashes)

Uploaded CPython 2.7m Windows x86-64

awkward1-0.2.19-cp27-cp27m-win32.whl (7.9 MB view hashes)

Uploaded CPython 2.7m Windows x86

awkward1-0.2.19-cp27-cp27m-manylinux2010_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

awkward1-0.2.19-cp27-cp27m-manylinux1_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 2.7m

awkward1-0.2.19-cp27-cp27m-manylinux1_i686.whl (7.0 MB view hashes)

Uploaded CPython 2.7m

awkward1-0.2.19-cp27-cp27m-macosx_10_9_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 2.7m macOS 10.9+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page