semvec/pypi-packages huggingface dataset:
washi 0.0.1
Scripts to easily organize research

# Washi

Washi is a command line interface for organizing scientific research.  Yes, there are electronic lab notebooks out there.  However, most researchers still end up with a mess of unorganized data files on their computer.  

## How it works
Washi organizes each experiment your run into the following folder structure:

    EXPINFO.md
    setup/
    data/
    analysis/

- EXPINFO.md is like a readme.  It describes the experiment, maybe has pictures of your lab notebook, etc.
- The setup/ directory is for everything you do before the experiment (e.g., dilution calculations in excel, import literature references)
- The data/ directory is for RAW data.  That means the raw csv files coming of the your HPLC, spectrometer or whatever you use. This should not be processed.
- The analysis/ directory is for processed data and the scripts used to get that data. 


## Usage 

To create a washi folder structure

    washi init
github-fullname-cli 0.0.1
get github fullname
Keywords: github

### Install

```bash
$ [sudo] pip install github-fullname-cli
```

### Features

+   get github fullname `owner/repo` from `.git/config`

### Usage

```bash
usage: github-fullname
```

### Examples

```bash
$ cd path/to/repo
$ github-fullname

$ git remote add git@github.com:owner/repo.git github
$ github-fullname
owner/repo
```
nupic 1.0.5
Numenta Platform for Intelligent Computing

Numenta Platform for Intelligent Computing: a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources.

For more information, see http://numenta.org or the NuPIC wiki at https://github.com/numenta/nupic/wiki.