essentialkit


Nameessentialkit JSON
Version 0.4.0 PyPI version JSON
download
home_pagehttps://github.com/DVictorGavilan/EssentialKit
SummaryA comprehensive utility package to simplify common tasks in Python programming
upload_time2025-07-30 17:59:09
maintainerNone
docs_urlNone
authorDaniGavilan
requires_pythonNone
licenseApache License 2.0
keywords i/o files
VCS
bugtrack_url
requirements pytest assertpy pyparsing pyhocon setuptools openpyxl
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # EssentialKit

## Functional Description
A  comprehensive utility package to simplify common tasks in Python programming

## Owner
For any bugs or questions, please reach out to [Dani Gavilán](mailto:danigavipedro96@gmail.com)

## Branching Methodology
This project follows a Git Flow simplified branching methodology
- **Master Branch**: production code
- **Develop Branch**: main integration branch for ongoing development. Features and fixes are merged into this branch before reaching master
- **Feature Branch**: created from develop branch to work on new features

## Prerequisites
This project uses:
- Language: Python 3.10
- Libraries: 
  - pyhocon
  - pytest
  - assertpy

## How to use it
Install the library

```bash
pip install essentialkit
```


## Functionalities
### File Operations Module
- **get_all_file_paths_in_directory**: Retrieve a list of all file paths within a specified folder and its subdirectories.
- **read_json**: Read and parse a JSON file into a Python dictionary.
- **write_json**: Serialize a Python dictionary into JSON format and write it to a file.
- **read_hocon**: Read and parse a HOCON file into a Python dictionary.
- **iterate_hocon**: Read nested dictionaries and lists into dot and index generator
- **write_hocon**: Serialize a Python dictionary into HOCON format and write it to a file.
- **update_excel_column_from_list**: Update a specific column in an Excel sheet with values from a list
### String Operations Module
- **find_pattern_in_string**: Find all occurrences of a pattern in a given string using regex.
- **replace_all**: Replace all occurrences of keys in input dict within input string with their corresponding values.
 

            

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