semvec/pypi-packages huggingface dataset:
tinynpydb 0.1.2
Tiny pickle-based array database
License: MIT
Keywords: numpy

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# The `tinynpydb` project
`tinynpydb` _(tiny-en-py-db)_ is a tiny pickle-based numpy array database.

## Installing

- From PyPI
    ```
    pip install tinynpydb
    ```

- Simply clone and from within the repo
    ```
    pip install -e .
    ```

## Quickstart

Starting a DB is easy:

```python
# import and create example
import tinynpydb as tnpdb

array = [1, 2, 3]

# start DB and dump array!
npdb = tnpdb.NumPyDB('testnpdb', mode="store")
npdb.dump(array, 0)

# retrieve array!
loaded_array = npdb.load(0)
print(loaded_array)
```

Re-using a DB is easy too:

```python
# import and create example
import tinynpydb as tnpdb

# start DB in loading mode
npdb = tnpdb.NumPyDB('testnpdb', mode="load")

# retrieve array!
loaded_array = npdb.load(0)
print(loaded_array)
```


*That's pretty much all we do*
--------


    - This was inspired from SciTools NumpyDB implementation
    [Scitools github repo](https://github.com/hplgit/scitools)
    and we decided to mantain a tiny version of it.

    We retain their choice of a 3-BSD License
easyw2v 0.0.0
Easy generation of semantic vectors from a corpus in Terminal
License: MIT

=============================================================
easyw2v - Easy generation of semantic vectors from Terminal
=============================================================

*easyw2v* enables to generate word semantic vectors from a corpus simply in Terminal.


Installation
============

.. code:: bash

    pip install --user easyw2v



Authors and Contributers
========================

*easyw2v* is being developed and maintained by `Motoki Saito <https://github.com/msaito8623>`_.