Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

BigDL makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications.

For more information, you may read the docs.

Metadata

Release files for bigdl-spark3 2.2.0b20221010

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for bigdl-spark3 2.2.0b20221010
File Interpreter ABI Platform Actions
bigdl_spark3-2.2.0b20221010-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark3-2.2.0b20221010-py3-none-manylinux1_x86_64.whl
bigdl_spark3-2.2.0b20221010-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark3-2.2.0b20221010-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark3-2.2.0b20221010-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark3-2.2.0b20221010-py3-none-manylinux1_x86_64.whl
Size 1.8 kB
Tags Linux glibc 2.5+ x86-64 Python 3
SHA-256 checksum
How to use checksums
93d1b108790080846ce4b3d07570090aad038db5a64267564c405e0c9bf43154
BLAKE2b-256 checksum
How to use checksums
541143d95a838030b25ad5504d267ac6dbb4c22893670310568a0c9a24247c8e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_spark3-2.2.0b20221010-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark3-2.2.0b20221010-py3-none-macosx_10_11_x86_64.whl
Size 1.8 kB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
60930f3680a4da5dac57a35d3b355936fe813b325012b43961f319ee431436e8
BLAKE2b-256 checksum
How to use checksums
6606bb5c7414ec81e359d10a3f5aba8ba498e7426cb45e4ae888dd1ca1c64992
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for bigdl-spark3 2.2.0b20221010

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page