semvec/pypi-packages huggingface dataset:
nbterm 0.0.13
A tool for viewing, editing and executing Jupyter Notebooks in the terminal
Requires Python: >=3.7

[![Build Status](https://github.com/davidbrochart/nbterm/workflows/CI/badge.svg)](https://github.com/davidbrochart/nbterm/actions)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

# nbterm

Lets you view, edit and execute Jupyter Notebooks in the terminal.

## Install

Using pip:

```
pip install nbterm
```

Using conda:

```
mamba install nbterm -c conda-forge
```

You will also need a kernel, e.g. `ipykernel` or `xeus-python` for Python, `xeus-cling` for C++.

## Usage

Open an interactive notebook:

```
$ nbterm my_notebook.ipynb
```

Run a notebook in batch mode:

```
$ nbterm --run my_notebook.ipynb
```

## Key bindings

There are two modes: edit mode, and command mode.

- `enter`: enter the edit mode, allowing to type into the cell.
- `esc`: exit the edit mode and enter the command mode.

In command mode:

- `up`: select cell above.
- `down`: select cell below.
- `ctrl-up`: move cell above.
- `ctrl-down`: move cell below.
- `a`: insert cell above.
- `b`: insert cell below.
- `x`: cut the cell.
- `c`: copy the cell.
- `ctrl-v`: paste cell above.
- `v`: paste cell below.
- `o`: set as code cell.
- `r`: set as raw cell.
- `m`: set as Markdown cell.
- `l`: clear cell outputs.
- `ctrl-e`: run cell.
- `ctrl-r`: run cell and select below.
- `ctrl-s`: save.
- `ctrl-q`: exit.
- `ctrl-h`: show help.
mfdls 0.1.1
A language server, implementing the Language Server Protocol, for the MEDFORD metadata markup language.
Requires Python: >=3.8

# medford-language-server
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Linting with Pylint](https://img.shields.io/badge/linting-pylint-yellowgreen)](https://github.com/PyCQA/pylint)
[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)

A language server, implementing the Language Server Protocol, for the MEDFORD metadata markup language.


## Editors:
* [VS Code](https://marketplace.visualstudio.com/items?itemName=TuftsBCB.medford-vscode)

## Development
This project is configured to use black, mypy, and pylint. Please run them and deal with any errors or warnings before commiting to master.
* run `black` with `black mfdls`
* run `mypy` with `mypy mfdls`
* run `pylint` with `pylint mfdls`
dill-tils 1.0.8
A collection of DillonB07s utilities
Requires Python: >=3.6
Keywords: dillonb07,utils

# DilllonB07 Utilities

![PyPI](https://img.shields.io/pypi/v/dill-tils?color=blue&label=PyPi&logo=pypi&logoColor=yellow)
![PyPI - Downloads](https://img.shields.io/pypi/dm/dill-tils?color=blue&label=Downloads&logo=pypi&logoColor=yellow)
![PyPI - Format](https://img.shields.io/pypi/format/dill-tils?color=blue&&label=Format&logo=pypi&logoColor=yellow)
![PyPI - Status](https://img.shields.io/pypi/status/dill-tils?color=blue&label=Status&logo=pypi&logoColor=yellow)
![PyPI - License](https://img.shields.io/pypi/l/dill-tils?color=blue&label=License&logo=pypi&logoColor=yellow)

Dill_tils is a package that has my commonly used functions inside it for ease of use.

## Installation

Anyone can use this package by installing it from PyPi via one of the following commands:

### Pip

```zsh
pip install dill_tils
```

```zsh
pip3 install dill_tils
```

```zsh
python -m pip install dill_tils
```

```zsh
python3 -m pip install dill_tils
```

### Poetry

```zsh
poetry install dill_tils
```

### Conda

```zsh
conda install dill_tils
```

### Pipenv

```zsh
pipenv install dill_tils
```

## Usage

Just import the modules you need and get started!

## License

This project is licensed under the LGPLv3 license.
pyrams 0.8.5
Set of tools for working with RAMS data

# PyRAMS - Useful tools for working with RAMS data

[![Documentation Status](https://readthedocs.org/projects/pyrams/badge/?version=latest)](https://pyrams.readthedocs.io/en/latest/?badge=latest)[![DOI](https://zenodo.org/badge/176599749.svg)](https://zenodo.org/badge/latestdoi/176599749)

## Basic Usage
The biggest feature of PyRAMS is its extension of [xarray](https://docs.xarray.dev/en/stable/). 
PyRAMS adds named dimensions, coordinate variables, and variable metadata to xarray datasets created from RAMS data.
This functionality is [outlined here](https://pyrams.readthedocs.io/en/latest/xarray_metadata.html) and an interactive example can be [run 
in-browser here](https://mybinder.org/v2/gh/lsterzinger/pyrams/HEAD?labpath=examples%2Fxarray.ipynb). Other functions can be found in the [API reference](https://pyrams.readthedocs.io/en/latest/api/index.html).

***
Example notebook to show how to use PyRAMS with xarray can be run inside the browser here:

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/lsterzinger/pyrams/HEAD?labpath=examples%2Fxarray.ipynb)

***
Documentation can be [found here](https://pyrams.readthedocs.io/en/latest)

Install from conda-forge:
```
conda install -c conda-forge pyrams
```

or with pip:
```
pip install pyrams
``` 
PyRAMS is distributed under an [MIT License](LICENSE)