Databricks Environment for pyspark apps

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for datasentics from gravatar.com datasentics

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: DataSentics Team
  • Requires: Python <4.0, >=3.10
Classifiers

Project description

Pyspark Databricks Environment

Set of basic environment-specific functions

Environment setup

  1. conda env create -f environment.yml -p .venv
  2. conda activate $PWD/.venv
  3. poetry install --no-root

Checking code quality

  1. poe black

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for datasentics from gravatar.com datasentics

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: DataSentics Team
  • Requires: Python <4.0, >=3.10
Classifiers

Release history Release notifications | RSS feed

This version

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

databricks_environment-0.1.1.tar.gz (2.6 kB view details)

Uploaded Source

Built Distribution

databricks_environment-0.1.1-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file databricks_environment-0.1.1.tar.gz.

File metadata

  • Download URL: databricks_environment-0.1.1.tar.gz
  • Upload date:
  • Size: 2.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.3 Linux/5.15.153.1-microsoft-standard-WSL2

File hashes

Hashes for databricks_environment-0.1.1.tar.gz
Algorithm Hash digest
SHA256 9283f90e76fe75b4af0cd4856afdd070daf591a5ad80f712e573692c5e729d8e
MD5 e221dbcbb1054086a07fe48235f3a00d
BLAKE2b-256 15d483927dc2b6165a94b9051113ee039587726b858f6e804f69735de71f0dcc

See more details on using hashes here.

File details

Details for the file databricks_environment-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: databricks_environment-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 3.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.3 Linux/5.15.153.1-microsoft-standard-WSL2

File hashes

Hashes for databricks_environment-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d2a01fd936b7158576e1f2dddde51e66f3b021056514c0695c8274ddca2751b9
MD5 d932f261752da921618ff8b75a40d5fb
BLAKE2b-256 8251985f65c7f3658deae5eb4c2cf14194b94a80894b1a00304b6e830d6d785e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page