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 2.2.0b20221113

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 2.2.0b20221113
File Interpreter ABI Platform Actions
bigdl_spark2-2.2.0b20221113-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark2-2.2.0b20221113-py3-none-manylinux1_x86_64.whl
bigdl_spark2-2.2.0b20221113-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark2-2.2.0b20221113-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark2-2.2.0b20221113-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221113-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
cea117fc1a59bffe9b59fdc2b28a5a1674f9a67af31370f584e76537d18d6846
BLAKE2b-256 checksum
How to use checksums
a09aaf49741f9957c1653a0399f97eda68c1dadf86ead855650f11939ba527b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_spark2-2.2.0b20221113-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221113-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
80453ad81b7bb8473304e9c6f445ae8860b93ecd6bdb0ec6ca3b485f6c8d2238
BLAKE2b-256 checksum
How to use checksums
3fcce0a2f8c1e9d39437208e94385563b236ab44ab584d6367a59be68c0e3b13
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 2.2.0b20221113

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