semvec/pypi-packages huggingface dataset:
prvict 0.8.5
A library pioneering AI and computational based tech solutions.
Requires Python: >=3.11

<p align="center" style="margin-bottom: 0;"><img src="https://github.com/VaidikKhurana/prvict/blob/master/src/prvict/assets/icons/prvict-logo-sideways.png" width="230" alt="Prvict Logo"></p>
<div align="center" style="margin-top: 0;">

<div align="center">
<b>A library pioneering tech solutions.</b>
</div>
<br>

[![github](https://img.shields.io/badge/-grey?logo=github)](https://github.com/VaidikKhurana/prvict)
[![yt](https://img.shields.io/badge/-grey?logo=youtube)](https://www.youtube.com/@VaidikKhurana)
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***
An open-source project consisting of algorithms, programs, and tech solutions for future innovations and implications. The PRVICT project is a group of programmers building solutions through computational means by solving each and every problem through the medium of technology. **We have the goal of revolutionizing technology and using it for the betterment of the world. Our primary objective is to work, improvise, and optimize artificial intelligence for multiple use cases with both commercial and private implications**.

Our algorithms consist of expert logical and analytical functions, allowing them to be efficient in every use. We plan on developing the world's best AIs by changing today's architecture of creating AI. In the future, the project will scale to multiple AI models for many use cases. This may include LLM's, image recognition, computer vision, and many more.
                                  V 0.8.3
***
task-track 0.0.11
A dead simple cli time tracker
Requires Python: >=3.8

# Task Track

*A dead-simple command line tool to help you track your time*

## Quickstart
To get started, install task-track:
```
pip install task-track
```
Once installed, task-track will be available on the command line via the `track` command.
To see a quick overview run the help command: 
```
track -h
```
This will display all of the options:
```
usage: track [-h] [-s S] [-x X] [-l]

A dead simple time tracker

optional arguments:
  -h, --help  show this help message and exit
  -s S        start tracking a task: track -s <task_name>
  -x X        stop tracking a task: track -x <task_name>
  -l          list all tasks: track -l
```

For example, if one were to start tracking doing the dishes:
```
$ track -s do_dishes
Task do_dishes has been successfully started
```
and to stop the task:
```
$ track -x do_dishes
Task do_dishes successfully stopped. Session time: 1.2559911688168843 minutes.
To view time spent on tasks, use 'track -l'
```
and finally, to view time spent:
```
$ track -l
Task Name      Time Spent (min)
-----------  ------------------
do_dishes                     1
```

## Leveraging Python Environments
Since task-track saves data local to it's installation, task-track can be downloaded and used in different environments to organize tasks that might need to be tracked separately:
```
python3 -m venv work
python3 -m venv school
```
are a few examples of ways that environments could be used to track different task categories.