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 2.2.0b20221024

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 2.2.0b20221024
File Interpreter ABI Platform Actions
bigdl_spark3-2.2.0b20221024-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark3-2.2.0b20221024-py3-none-manylinux1_x86_64.whl
bigdl_spark3-2.2.0b20221024-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark3-2.2.0b20221024-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark3-2.2.0b20221024-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark3-2.2.0b20221024-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
651912392d6a578975d1d40043155cb9a3a1b435ad3619392a401965577912c4
BLAKE2b-256 checksum
How to use checksums
f42c564c7c8c4b941da41bb04d0882142695c864f229627473e7090f460c9b0d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / bigdl_spark3-2.2.0b20221024-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark3-2.2.0b20221024-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
fff571d3bc1574e6ef91f87452b55945e9d5af2513db7cbd4950848c2e57e219
BLAKE2b-256 checksum
How to use checksums
84612f3435555c68aa199bc134affb7d9e34de96d962e8ea661960826451edbc
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 2.2.0b20221024

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