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-spark2 2.2.0b20221116

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-spark2 2.2.0b20221116
File Interpreter ABI Platform Actions
bigdl_spark2-2.2.0b20221116-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark2-2.2.0b20221116-py3-none-manylinux1_x86_64.whl
bigdl_spark2-2.2.0b20221116-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark2-2.2.0b20221116-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark2-2.2.0b20221116-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221116-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
89f2673e567b49e17a7b6f5443db19c8e0bfaa4dad700f1928f76fddf0b90fdb
BLAKE2b-256 checksum
How to use checksums
7f82d64304c25309724af3655d914e1bc430b958a9349c5da9cb4f4fcd0ec2fc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_spark2-2.2.0b20221116-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221116-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
3a7f7a643e4ff39305b49b36a69e3dac7853c14367c1b59045ca4e97544e3d0d
BLAKE2b-256 checksum
How to use checksums
6eb2dd31b57e5990dbf3e066f1f18c1592a9c9018d51caf39b16f6e738d8aa59
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Security for bigdl-spark2 2.2.0b20221116

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