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BloomTechLib

BloomTech Labs Python Library of General Data Science Solutions

BloomTechLib Developer Guidelines

  1. No PEP8 violations.
  2. No global state.
  3. Must be backwards compatible to 3.6.x
  4. Must be forward compatible up to the latest version of Python 3.9.x
  5. Should avoid dependencies outside the standard library.
  6. Every feature will be documented in detail.
  7. Code examples will be included for each feature.

Analysis

CSV Similarity Score

Compares two csv files and returns a score between 0.0 and 1.0 to indicate how similar the data is.

Assumptions

  • The data files have the same header, delimiter and number of rows.
  • Each row of data should be a unique observation, each column representing a single aspect.
  • CSV is a convenient format, but a database adapter could be useful in the future.
  • Data will be primitive strings or numbers and not more complex types.

DataBase Ops

DataModelMongo Class

  • find(dict) -> dict
  • insert(dict)
  • find_many(dict, int) -> Iterator[dict]
  • insert_many(dict)
  • get_df() -> DataFrame

DataModelSQL Class

  • db_action(str)
  • db_query(str) -> list

HTML to DataFrame

  • html_to_df(str, int) -> DataFrame

DevOps API

  • WIP

Metadata

Release files for BloomTechLib 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for BloomTechLib 0.0.1
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BloomTechLib-0.0.1.tar.gz 4.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for BloomTechLib 0.0.1
File Interpreter ABI Platform
BloomTechLib-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 10.5 kB

Release files / BloomTechLib-0.0.1.tar.gz

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Size 4.2 kB
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Release files / BloomTechLib-0.0.1-py3-none-any.whl

Download URL BloomTechLib-0.0.1-py3-none-any.whl
Size 6.3 kB
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This release

0.0.1 This release

2 release files

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