pote 0.0.1

Python helpers, utils or code not worthy ot its own repo

pote

pip install pote

A collection of battle-tested (well, by me in my projects) Python utilities extracted from real projects. These are practical helpers that solve common problems across data manipulation, callbacks, configuration, display, and widgets.

What is pote?

pote provides utilities that don’t justify their own library but are too useful to keep copying between projects. Each module is focused, well-tested, and designed for immediate use.

Modules

Core Utilities

• basic - Fundamental Python utilities: nested data access (val_at, vals_at), dict helpers, string utilities, type checking, and more
• test - Testing helpers beyond fastcore: test_raises, test_afail, test_is_not
• project - Project setup utilities: global console configuration with Rich theme support

Advanced Features

• callback - Callback system for augmenting objects with side-effects, plus CollBack for tracking iteration with callbacks
• config - Simple namespace for configuration with context manager for temporary changes
• display - Jupyter display enhancements: Rich integration, collapsible JSON rendering, CSS generation
• widgets - ipywidgets utilities: widget cleanup, async support, blocking input helpers

Quick Start

from pote.basic import val_at, AD, shorten
from pote.callback import CollBack

# Access nested data with dot notation
data = {'user': {'name': 'Alice', 'scores': [10, 20, 30]}}
val_at(data, 'user.scores.1')  # 20

# Dict with attribute access
config = AD(debug=True, timeout=30)
config.debug  # True

# Track iteration with callbacks
for item in CollBack(range(100)):
    process(item)
    # Progress tracked automatically

Installation

pip install pote

Development

These utilities are developed with notebooks using nbdev. Browse the notebooks to see implementation and examples.

Philosophy

• Copy-friendly: See something useful? Copy it with my blessing
• Battle-tested: Extracted from production projects
• Documented through tests: Examples serve as both tests and documentation
• Minimal dependencies: Builds on fastcore, ipywidgets, and Rich where appropriate