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 2.2.0b20220923

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 2.2.0b20220923
File Interpreter ABI Platform Actions
bigdl_spark3-2.2.0b20220923-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark3-2.2.0b20220923-py3-none-manylinux1_x86_64.whl
bigdl_spark3-2.2.0b20220923-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark3-2.2.0b20220923-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark3-2.2.0b20220923-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark3-2.2.0b20220923-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
ba478c3eb585a8a5ca57e91289793032b3454c6048a0fbb5bf5da5e20508dc2d
BLAKE2b-256 checksum
How to use checksums
5c62fddc7ea442145cf80625f427365247767578a6d603793e48e16a43c22416
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_spark3-2.2.0b20220923-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark3-2.2.0b20220923-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
b2338d02763d21cf2bbb3135a594cd140688edac46d5456a8922488bdf53a82e
BLAKE2b-256 checksum
How to use checksums
5b0d7ce445790c2b2de4a1d0ccfac1453c4921b012118732ec4c87c937e91b44
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 2.2.0b20220923

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