semvec/pypi-packages huggingface dataset:
passwordtools-TriC 0.0.1
Fast password module using the "io" and "random" modules.
Requires Python: >=3.6

# passwordtools
Fast password module using the "io" and "random" modules.

# securestr
Makes a secure string password.

Usage
---
```
passwordtools.securestr(length, [chars_in])
```

# pin
Makes a secure PIN.

Usage
---
```
passwordtools.pin(length)
```

# check
Checks a password's security.

Usage
---
```
passwordtools.check(password)
```
rtpt 0.0.4
Remaining Time to Process Title

# Remaining-Time-To-Process (RTPT)
[![PyPI version](https://badge.fury.io/py/rtpt.svg)](https://badge.fury.io/py/rtpt)

RTPT class to rename your processes giving information on who is launching the process, and the remaining time for it.

# Installation
## Using pip

	pip install rtpt

# From source

	git clone
	python setup.py install


## Example

.. code:: python
```python
from rtpt.rtpt import RTPT
import random
import time

# Create RTPT object
rtpt = RTPT(name_initials='QD', experiment_name='TestingRTPT', max_iterations=10)

# Start the RTPT tracking
rtpt.start()

# Loop over all iterations
for epoch in range(10):
    time.sleep(4)
    # Perform a single experiment iteration
    loss = random.random()

    # Update the RTPT (subtitle is optional)
    rtpt.step(subtitle=f"loss={loss:2.2f}")
```
predictions-analyzer-tpmeli 0.0.21
A powerful tool for analyzing and ensembling predictions
Requires Python: >=3.7

# predictions_analyzer

Predictions Analyzer is a powerful tool to help discover which models perform best on the kinds of samples you have.  This allows you to create local models and ensemble models with precision, while also finding out which samples are the most challenging to classify.

# Documentation: 
https://predictions-analyzer.readthedocs.io/en/latest

# Notes
Currently in development.
Expected first release: Early Febuary 2021