semvec/pypi-packages huggingface dataset:
eclinicio 0.2.0
Asyncronous ssl sockets with pluggable eventloop
Requires Python: >=3.6

# eclinicio

## eclinicio - Asyncronous SSL Sockets with a pluggable eventloop
Developed as need to do remote procedure calls and send pickled
data back to the client.


## Main Classes
-----------------
1. eclinicio.EventLoop
2. eclinicio.ServerFactory
3. eclinicio.ServerSideClient
4. eclinicio.ClientSideSocket
tox-appveyor 0.1.1
Select 32 or 64-bit Python for Tox on Appveyor

This is a tiny Tox plugin to allow selecting 32-bit or 64-bit Python
on `AppVeyor <https://www.appveyor.com/>`_ Windows CI builds.

In your ``appveyor.yml`` file, specify the different builds like this:

.. code-block:: yaml

    environment:
      matrix:
        # Python 2.7, 64-bit
        - TOXENV: "py27"
          TOX_APPVEYOR_X64: 1

        # Python 2.7, 32-bit
        - TOXENV: "py27"
          TOX_APPVEYOR_X64: 0

        # Python 3.7, 64-bit
        - TOXENV: "py37"
          TOX_APPVEYOR_X64: 1

        # Python 3.7, 32-bit
        - TOXENV: "py37"
          TOX_APPVEYOR_X64: 0

    build: off

    # For the sections below, the Python version doesn't matter:
    # tox will make an environment based on the environment variables.

    install:
      - "py -3.6 -m pip install wheel tox tox-appveyor"

    test_script:
      - "py -3.6 -m tox"

`Supporting Windows using Appveyor <https://packaging.python.org/guides/supporting-windows-using-appveyor/#testing-with-tox>`_
in the Python Packaging User Guide has more background info about testing Python
projects on Appveyor.
ttc 0.0.0
TremTec CLI utilities
Keywords: tremtec cli

# TremTec CLI

        As a TremTec Engineer, we need tools to make our daily work easier, because of that we've created the TremTec CLI, or just `ttc`. We intend to provider a lot of features like:

        - **WorkSpace Management**: Create separated environments for your packages `pip`, `node`, and other languages.
        - **Package Management**: Install, update and remove packages for your projects.
        - **GitLab Integration**: You can create Merge Requests, test ci files, list docker register images, and a lot more from the cli.

        ## Usage

        To install our cli tool, you need to:

        ```bash
        pip install ttc
        ```

        then you should configure you environment:

        ```bash
        ttc configure
        ```

        To see our command options, type

        ```bash
        ttc --help
        # or
        ttc -h
        ```

        ## Add autocompletion

        Just add to you `.bashrc` or `.zsh`:

        ```bash
        eval "$(_TTC_COMPLETE=source ttc)"
        eval "$(_TT_COMPLETE=source tt)"
        ``
`

        ### Dev mode

        To install as a developer, first clone the project, go to a the cloned folder and then:

        ```bash
        pip install -e '.[dev]'
        ```

        ##

        Thanks for using tcc and have a happy code! ��
mobipy 1.0.0
A library for analyzing user mobility patterns
Requires Python: >=3.6

mobipy is a Python 3 library for analyzing user movement patterns from geolocated data.

mobipy brings together metrics and functions frequently used to calculate user mobility patterns. It was developed with a focus on usability and compatibility with multiple data sets, facilitating the tasks of research and data analysis.

Mobipy is tested against Python 3.6 and 3.7.

### Installation

Install using [pip](http://www.pip-installer.org/en/latest/) with:
```
pip install mobipy
```
Or, [download a wheel or source archive from PyPI](https://pypi.org/project/MobiPy).

### Available metrics

- Radius of gyration;
- Home detection;
- User displacement distance;
- Group by closeness;
- Activity centers;

### Using mobipy metrics

```
dataIdentifier = Identifier("latitude", "longitude", "local_time", "start_time", "end_time", "item_id")
path = "data.csv"
dataframe = pd.read_csv(path)
result = metrics.radius_of_gyration(dataframe=dataframe,  ##use keyword parameters
                                        				 dataIdentifier=dataIdentifier, 
                                        				 selector= Selector())
```