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 2.2.0b20221119

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 2.2.0b20221119
File Interpreter ABI Platform Actions
bigdl_spark3-2.2.0b20221119-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark3-2.2.0b20221119-py3-none-manylinux1_x86_64.whl
bigdl_spark3-2.2.0b20221119-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark3-2.2.0b20221119-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark3-2.2.0b20221119-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark3-2.2.0b20221119-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
e1886dc43f816714db685014b41bc1b7226ab5b55165cef630fbc20cbaffb9a4
BLAKE2b-256 checksum
How to use checksums
fe3b4c8921ee5f7b9fad944e92436af8213ea480a62e6896080e089a2b347d86
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_spark3-2.2.0b20221119-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark3-2.2.0b20221119-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
6635e1e1f41a0280a27f88f3abba0c5305c6e9cdb57d2b3c2a501eba77437a9a
BLAKE2b-256 checksum
How to use checksums
7dd6ee3558f2c84ea4da22c8e11c7546a483bcf3360cb16316e0193e527fee13
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Security for bigdl-spark3 2.2.0b20221119

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