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Data engineering & Data science Framework

Project description

py-analytics

Contains Data Enginner, Data Scientist and 3rd party integration tools capabilities

Installation

py-test-utility can be installed via pip

pip install ??find the name??

BigQuery

To access BigQuery you will need following environment variables:

  • BIGQUERY_PROJECT - name of the project in BigQuery. Default project cannot be changed in the code.
  • BIGQUERY_ACCESS_TOKEN_PATH - path to the json token file.

BigQuery functions wrap bigrquery functions to provide higher level API removing boilerplate instructions of the lower level API.

tdd_utility - module

class load_data(type,file,schema)

Contains methods to extract the equivalent json from csv with nested and repeated records structures

Methods

  • to_json()

    • if successfuls return the json obj extracted from the csv
  • to_new_line_delimiter_file(output_file_name)

    • return 0 if successfuls
    • create new line delimiter "output_file_name" file

Generating distribution archives

python3 -m pip install --user --upgrade setuptools wheel
python3 -m pip install --user --upgrade twine

Now run this command from the same directory where setup.py is located:

python3 setup.py sdist bdist_wheel

Uploading the distribution archives

python3 -m twine upload --repository-url dist/*

Project details


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Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page