PyProjectTools v1.2.2 - Directory Changes

Changes

• Rearranged directory so helper-function scripts are easier to import
• Renamed and combined scripts to maintain organization along with the simpler implementation of helper functions
• New scripts
  • custom_dtypes.py - custom datatypes
  • custom_str_templates.py - custom commonly used string templates (i.e., date templates, age calculator, etc.)
  • data_io_operations.py - operations like reading and writing data, parsing arguments from a string, shortening strings, etc.
  • directory_operations.py - filtering files by types, joining paths, unique filename generator, directory creator, and deleting files by type.

v1.2.1 - Bug Fixes

PyProjectTools v1.2.1 - Bug Fixes

Changes

• Fixing inconsistencies with type hints in MemoryProfiling.py and FileSorting.py
• Updated and reformatted functions
• Update of requirements.txt

v1.2.0 - New Features

PyProjectTools v1.2.0

This release includes the reorganization of the repository following the addition of new features.

Changes

• Added libraries ApplicationMonitoring and CustomDatatypes
  • Provides line profiling, memory profiling, lining, and logging.
  • CustomDatatypes include basic custom datatypes for type hinting
• Added useful_batch_scripts for cloning and updating PyProjectTools for other projects
  • Reduces the need to lookup the repository online
  • Allows users to update PyProjectTools with a batch script
• Reorganized repository

PyProjectTools v1.0.0 - Initial release

Release Notes - Version 1.0.0: PyProjectTools

PyProjectTools is a toolbox-style repository of helper functions and classes designed to facilitate code reuse and increase the efficiency of project development. This release marks the first official functional version of the repository and offers a collection of functions and classes for various projects, promoting efficient coding practices.

Purpose and Organization

This repository enhances project development by furnishing a curated assemblage of utility functions and commonly employed code snippets. Although it may not introduce revolutionary innovations, its practicality lies in its potential to deliver smooth coding experiences, benefiting individuals seeking to expedite their programming efforts.

Foundation and Dependencies

• PyProjectTools was written using Python 3.11.4.
• A requirements.txt file is included for all necessary libraries.
• It is recommended to configure a virtual environment to isolate dependencies and prevent conflicts with other projects.
• Users should periodically review and update PyProjectTools to main consistent performance.

Features to Come

• Application Monitoring, i.e., line profiling, memory profiling, linting, logging, etc.
• Commonly used pre-formatted strings
• Report generators