semvec/pypi-packages huggingface dataset:
jut 0.0.24
Render Jupyter Notebook in the terminal
License: MIT
Requires Python: >=3.6.1,<4.0.0

`jut - JUpyter notebook Terminal viewer`.

The command line tool view the IPython/Jupyter notebook in the terminal.

### Install

`pip install jut`

### Usage

``` shell
$jut --help
Usage: cli.py [OPTIONS] PATH

Options:
  -he, --head INTEGER RANGE  Display first n cells. Default is 10
  -t, --tail INTEGER RANGE   Display last n cells
  -p, --single-page          Should the result be in a single page?
  -f, --full-display         Should all the contents in the file displayed?
  --force-colors             Force colored output even if stdout is not a
                             terminal

  -s, --start INTEGER RANGE  Display the cells starting from the cell number
  -e, --end INTEGER RANGE    Display the cells till the cell number
  --exclude-output-cells     Exclude the notebook output cells from the output
  --no-cell-border           Don't display the result in a cell with border
  --help                     Show this message and exit.
```

### ASCIICinema Demo (First version)

[![asciicast](https://asciinema.org/a/400349.svg)](https://asciinema.org/a/400349)

Note: Command line arguments may be different, use `jut --help` to get upto date command line options

### Display first five cells

![jut-head-example](https://raw.githubusercontent.com/kracekumar/jut/main/images/jut-head.png)

### Display last five cells

![jut-tail-example](https://raw.githubusercontent.com/kracekumar/jut/main/images/jut-tail.png)

### Download the file and display first five cells

![jut-download-url](https://raw.githubusercontent.com/kracekumar/jut/main/images/jut-download.png)


### Usage

``` shell
$jut debug/file.ipynb
...
$jut https://raw.githubusercontent.com/fastai/fastbook/master/06_multicat.ipynb --tail 10
...
```
mfp-converter 0.0.1
For converting myFitnessPal CSV exports to monthly or daily exports
License: MIT
Keywords: MyFitnessPal

<!-- ABOUT THE PROJECT -->
## About The Project
myFitnesspal's premium "Export your Information" feature exports a CSV file of your progress meal data into 4 categories being Breakfast, Lunch, Dinner and Snacks. This converter is created to show the average of those 4 categories to add up towards the whole day to be able to see total Macronutrients and Micronutrients for the day or month instead of total Macronutrients and Micronutrients for Breakfast, Lunch, Dinner, and Snacks. 

This was created to be able to see the average Macronutrients and Micronutrients including vitamins and other data pieces as a whole per day or month in a CSV instead of the total being split up. Seeing this data as a whole helps understand progress better and allows for better visualization and data analysis depending on the use case.


![converter](https://i.gyazo.com/8fc6817903d664ce945f75f2744d6d99.png)
![converterday](https://i.gyazo.com/ba7a3ed0c244dc6fc0904eb1111c28dd.png)

### Built With

* [VSCode](https://code.visualstudio.com/download) 
* [Python](https://www.python.org/downloads/) 
* [Pandas Python Library](https://pandas.pydata.org/)
* [Jupyter Notebook](https://jupyter.org/install/)



<!-- GETTING STARTED -->
## Getting Started

This is an example on setting up an environment on your computer even for a non-programmer who wishes to have a better view of their progress on myFitnesspal and wants to convert their data that they have exported into totals per day/month.

- Install everything under the "Built With" section
- Open the file Nutrition.ipynb with VSCode
- Replace "Insert-Here.csv" with the name of your exported myFitnesspal CSV file that you emailed to yourself (Make sure Nutrition.ipynb and your .csv are in the same location/folder)
- Click Run All (Runs all code) 
- Check desktop for converted CSV files (myFitnesspal_avgbyday.csv) is averages by day and (myFitnesspal_avgbymonth.csv) is averages by month

<!-- CONTRIBUTING -->
## Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request


Change Log
===========
0.0.1 (11/20/21)
- First Release
genurl 0.2.2
GENerate random URLs
License: MIT
Requires Python: >=3.8,<4.0

# genurl

![general](https://media.giphy.com/media/JmgKSCrKZ228fIJoqt/giphy.gif)

GENerate URLs

This is a sketch of how this should work. Maybe better to use a LM than some random packages, but it is funny.

NOTE because this uses `/usr/share/dict/words` it may not work on all systems, and 100% won't work on Windows.

## Usage

```sh
$ pip install genurl
>>> installation output
$ genurl
>>> generate 1000 urls in the file urls.txt
```

You can specify `--number` of URLs to generate and the `--outfile` path.

You can also specify `--slow` if you want, to get more word diversity at the expense of going slower.

## Development

make changes, `poetry run genurl`

## Publishing

Haven't automated yet. First increment version in `pyproject.toml` and then `poetry publish --username PYPI_USERNAME --password PYPI_PASS --build`