semvec/pypi-packages huggingface dataset:
meeting-timer 0.3.0
A simple application to allow you to keep your meetings or webinars running on time.
License: MIT
Requires Python: >=3.6

# Meeting Timer

A simple application to allow you to keep your meetings or webinars running on
time.  

It has two modes:

* **Screen-share**: a window that contains the timer that you can screen share 
  on your video conferencing software.  This mode is useful for meetings where
  everyone attending should see the timer.
* **Webcam**: a virtual webcam stream that you can use instead of your real
  webcam to display the timer.  This mode is most-useful for webinars where you
  can share the timer with other presenters via your webcam which can be hidden
  from the regular participants by making it a webinar co-host.
  
**Table**: operating system (OS) support:

| Mode         | Windows | MacOS     | Linux |
| ------------ |:-------:|:---------:|:-----:|
| Screen-share | Yes     | Yes       | Yes   |
| Webcam       | No (1)  | Maybe (2) | Yes   |

1) It currently doesn't support windows however If you are a developer and can 
   work out how to connect it I am happy to accept your pull-request to submit
   the code.
2) It is possible the Linux method might work for MacOS however I do not have 
   access to a MacOS computer to test it out.  If you do and successfully get it
   to work, please drop me a message (andrewjrobinson+mt at gmail.com).

## Documentation

* [Install Guide](docs/README.md)
* [User Guide](docs/user-guide/README.md)

## TO-DO list

Some features that I would like to add:

* Allow customisation of display (font-size, ~~colours~~ [done] etc.)
* Allow full schedule of events to be specified ahead of time:
  * Manual advance to next speaker
  * Automatic advance
  * Display runtime difference from schedule (i.e. how late/early are you)
    * Display in configuration window (i.e. you only)
    * Progress bar to display meeting progress on timer output
* Import schedule from spreadsheet (CSV) OR pasted from clipboard (TSV)
* Webcam Support:
  * WindowsOS
  * MacOS
* ~~Save configuration to file (JSON)~~ [done]
* ~~Settings dialog~~ [done]

To be honest though, I may not get to implementing these since my main 
motiviation for creating this application (hosting a webinar) has passed (and 
this tool performed very well).

If you have other ideas please contact me so I can add them to the list and 
hopefully get time to implement them at some point.

If you have the skills/time to implement the Windows/Mac version of webcam 
mode please get in contact so we can work together to get it implemented.
  
## Gifts / Motivation

If you like what I'm doing or think it helped you, feel free to gift me some 
motivation:

<a href="https://www.buymeacoffee.com/andrewjrobinson" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" style="height: 51px !important;width: 217px !important;" ></a>
plotschedule 0.15
A simple matplotlib based schedule plotter
License: MIT

# A simple schedule plotter

The csv/xlsx file needs to have columns "begin", "end", "days", and whatever text you want in the schedule boxes:


|   | begin    | end      | days | Label1 | Label2 | Label3 | 
|---|----------|----------|------|--------|--------|--------| 
| 0 | 08:00 AM | 08:50 AM | MW   | One    | Two    | Three  | 
| 1 | 10:00 AM | 11:50 AM | TRF  | Yes    | No     | Maybe  | 
| 2 | 03:00 PM | 03:50 PM | MWF  | Foo    | Bar    | Baz    | 

For this CSV you could use this command line:

	plotschedule --output bar.png --title "My Schedule" example/foo.csv --labels Label1 Label2 Label3

And you'd get this output:

![Result](https://raw.githubusercontent.com/sspickle/plotschedule/master/example/bar.png)

You can also add a `color` column and use matplotlib colors.

Changes: 0.11 now works with excel too!

Changes: 0.12 allow for times that are already converted into 'float' hours (e.g. 8:30 AM -> 8.5, etc.)

Changes: 0.14 (yeah, skip 0.13!) reorganize __init__.py to put the function an module scope.
esp-trainer 1.0.0
ESP trainer that runs in your terminal
License: MIT
Requires Python: >=3.8.2

# cli-esp-trainer 🧙‍♂️️

ESP trainer that runs in your terminal. The idea is inspired by [Russell Targ's ESP trainer](http://www.espresearch.com/iphone/) and is based on sound parapsychological study design.

![Screenshot of cli-esp-trainer](assets/preview.png?raw=true "Screenshot of cli-esp-trainer")

## How it works ✨

1. There's 24 trials.
2. Each trial has four numbers to select from. You guess which number is going to be next.
3. If you're right, you score a hit.
4. If you're wrong, it's a miss. The correct number is displayed.
5. At the end, your results are tallied.

This trains you to distinguish an intuitive hunch from mental noise. True intuition should feel like a magnetic pull towards the correct number.

If your result is statistically significant, this is a clear indication of ESP. The scoring levels are 6, 8. 10, 12, or 14 hits. Frequently scoring 12 or more is considered highly developed ESP.

### Features 📔

#### Current

- Track your score against milestones of ESP ability
- Fast, minimal UI
- Cross-platform
- Coloured text
- Pretty table to display results

#### Future

- Ability to skip a trial
- Customise amount of trials
- Export results into .csv file
- Visualise improvements in results over time with charts
- Interactive shell (so you can play again without needing to reload the script)
- `--help` command to provide info from the terminal
- Code quality improvements (tests, linting)
- Website
- Public leaderboards

### Scientific evidence 🧪

The proof of ESP is out of the scope of this README. The evidence is extremely strong despite the controversy. Look at the work of both Russell Targ and Dean Radin if you're not convinced.

### Improving your score 📈

To improve your score, do consciousness work (especially meditation). Psychedelics also help (but do so at your own risk, I can't recommend it unless you know what you're doing).

## Installation 🚀

### Dependencies

* Python 3.8.2 (lower versions of 3 will probably work, but haven't been tested)

### Instructions

Install the CLI client:

```sh
pip3 install esp-trainer
```

Run the script:

```sh
esp-trainer
```

## Development 👨‍💻

Install dependencies with [Pipenv](https://pipenv.pypa.io/en/latest/):

```sh
pipenv install --dev
```

Then open the project with your preferred editor.

Open the pipenv shell:

```sh
pipenv shell
```

That's it. Start coding.