semvec/pypi-packages huggingface dataset:
idfim 0.1.dev0
Make an isochrone map of Paris region using public transportation.
Keywords: idfim

=================
IDF Isochrone Map
=================

Copyright (c) 2019 Jérémie DECOCK (www.jdhp.org)

* Web site: http://www.jdhp.org/software_en.html#idfim
* Online documentation: https://jdhp.gitlab.io/idfim
* Examples: https://jdhp.gitlab.io/idfim/gallery/

* Notebooks: https://gitlab.com/jdhp/idf-isochrone-map-notebooks
* Source code: https://gitlab.com/jdhp/idf-isochrone-map
* Issue tracker: https://gitlab.com/jdhp/idf-isochrone-map/issues
* IDF Isochrone Map on PyPI: https://pypi.org/project/idfim
* IDF Isochrone Map on Anaconda Cloud: https://anaconda.org/jdhp/idfim


Description
===========

Make an isochrone map of Paris region using public transportation.

Note:

    This project is still in beta stage, so the API is not finalized yet.


Dependencies
============

*  Python >= 3.0

.. _install:

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

Gnu/Linux
---------

You can install, upgrade, uninstall IDF Isochrone Map with these commands (in a
terminal)::

    pip install --pre idfim
    pip install --upgrade idfim
    pip uninstall idfim

Or, if you have downloaded the IDF Isochrone Map source code::

    python3 setup.py install

.. There's also a package for Debian/Ubuntu::
.. 
..     sudo apt-get install idfim

Windows
-------

.. Note:
.. 
..     The following installation procedure has been tested to work with Python
..     3.4 under Windows 7.
..     It should also work with recent Windows systems.

You can install, upgrade, uninstall IDF Isochrone Map with these commands (in a
`command prompt`_)::

    py -m pip install --pre idfim
    py -m pip install --upgrade idfim
    py -m pip uninstall idfim

Or, if you have downloaded the IDF Isochrone Map source code::

    py setup.py install

MacOSX
-------

.. Note:
.. 
..     The following installation procedure has been tested to work with Python
..     3.5 under MacOSX 10.9 (*Mavericks*).
..     It should also work with recent MacOSX systems.

You can install, upgrade, uninstall IDF Isochrone Map with these commands (in a
terminal)::

    pip install --pre idfim
    pip install --upgrade idfim
    pip uninstall idfim

Or, if you have downloaded the IDF Isochrone Map source code::

    python3 setup.py install


Documentation
=============

* Online documentation: https://jdhp.gitlab.io/idfim
* API documentation: https://jdhp.gitlab.io/idfim/api.html


Example usage
=============

TODO


Bug reports
===========

To search for bugs or report them, please use the IDF Isochrone Map Bug Tracker at:

    https://gitlab.com/jdhp/idf-isochrone-map/issues


License
=======

This project is provided under the terms and conditions of the `MIT License`_.


.. _MIT License: http://opensource.org/licenses/MIT
.. _command prompt: https://en.wikipedia.org/wiki/Cmd.exe
fdspy 0.0.20
Fire Dynamics Simulator Python
Keywords: fire,engineeringfire dynamics simulator,computational fluid dynamics,fds,cfd

# fdspy

Python tools for [Fire Dynamics Simulator](https://github.com/firemodels/fds).

## Getting Started

Python 3.6 or later is required.

### Installation

Chose one of the following installation path.

[Python](https://www.python.org/downloads/) 3.7 or later is required. [Anaconda Distribution](https://www.anaconda.com/distribution/#download-section) is recommended for new starters, it includes Python and few useful packages including a package management tool pip (see below).

[pip](https://pypi.org/) is a package management system for installing and updating Python packages. pip comes with Python, so you get pip simply by installing Python. On Ubuntu and Fedora Linux, you can simply use your system package manager to install the `python3-pip` package. [The Hitchhiker's Guide to Python](https://docs.python-guide.org/starting/installation/) provides some guidance on how to install Python on your system if it isn't already; you can also install Python directly from [python.org](https://www.python.org/getit/). You might want to [upgrade pip](https://pip.pypa.io/en/stable/installing/) before using it to install other programs.

1. to use `pip` install from PyPI:

    [![Downloads](https://pepy.tech/badge/fdspy)](https://pepy.tech/project/fdspy)

    ```sh
    pip install --upgrade fdspy
    ```

2. to use `pip` install from GitHub (requires [git](https://git-scm.com/downloads)):  

    *Note installing `fdspy` via this route will include the latest commits/changes to the library.*  

    ```sh
    pip install --upgrade "git+https://github.com/fsepy/fdspy.git@master"
    ```

### Usage

todo

#### FDS Job Scheduler

todo

#### Generate Devices in Defined Domain

todo

#### MTR Calculation

todo

## Authors

* **Yan Fu** - *fuyans@gmail.com*

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details
exchange-rates-last-hm-alex 0.0.2
Exchange rates getter
Requires Python: >=3.7

# Exchange rates service
Yandex last homework task. Realization of exchange rates service

## Getting project from gitlab
Firstly you must download source code of project from gitlab repository
```
$ git clone https://gitlab.com/ExampleUserForYandex/last
```
and go inside project's folder
```
$ cd /path/to/cloned/project
```

## Run project's tests
For run tests firstly activate virtual environment by:
```
$ source venv/bin/activate
```
and after that install requirements by:
```
$ (venv) pip3 install -r requirements.txt
$ (venv) pip3 install -r requirements.tests.txt
```
Now we can run tests
```
$ (venv) pytest test
```
If all is ok you'll get 
```
=============================================================================================== test session starts ===============================================================================================
platform linux -- Python 3.7.3, pytest-5.2.2, py-1.8.0, pluggy-0.13.0
rootdir: /path/to/cloned/project
plugins: aiohttp-0.3.0, aiomisc-9.4.1
collected 5 items                                                                                                                                                                                                 

test/test_rest.py ..                                                                                                                                                                                        [ 40%]
test/test_services.py .                                                                                                                                                                                     [ 60%]
test/test_updater.py ..                                                                                                                                                                                     [100%]

================================================================================================ 5 passed in 1.28s ================================================================================================
```
## Collect python package
Firstly check setup.py file for may be some config changes (e.g. package name, version and etc).

To collect python package run:
```
$ python3 setup.py sdist bdist_wheel
```
> Note: Be sure that you are in project root folder

Next step is install utility for uploading to Python Package index
```
$ pip3 install --user --upgrade twine
```
Finally, we can upload out project to Python Package index
```
$ python3 -m twine upload dist/*
```
And it will be available on [your project lists](https://pypi.org/project/)
> Note: that you must have account for uploading your package
## Create docker image run 
To create docker image run:
```
$ sudo docker build -t any_name .
```
> Note: **any_name** will be name of created image. So may be you want change it
## Run docker image
To run docker image write:
```
$ sudo docker run -d -p 8082:8082 image_name
```
> Note: **image_name** must be a name of created image in previous step.

Now our service is available. [Check it](http://localhost:8082/)
igrf12 1.3.6
IGRF12 model with simple object-oriented Python interface.
Requires Python: >=3.6
Keywords: geomagnetic,igrf

[![DOI](https://zenodo.org/badge/33064474.svg)](https://zenodo.org/badge/latestdoi/33064474)

[![Actions Status](https://github.com/space-physics/igrf12/workflows/ci/badge.svg)](https://github.com/space-physics/igrf12/actions)
[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/space-physics/igrf12.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/space-physics/igrf12/context:python)

[![Python versions (PyPI)](https://img.shields.io/pypi/pyversions/igrf12.svg)](https://pypi.python.org/pypi/igrf12)
[![PyPi Download stats](http://pepy.tech/badge/igrf12)](http://pepy.tech/project/igrf12)

# IGRF 2012 in Python

International Geomagnetic Reference Field IGRF12 and IGRF11...in simple, object-oriented Python &ge; 3.6 or Matlab.

![image](tests/incldecl.png)

![image](tests/vectors.png)

## Install

A Fortran compiler is required, such as `gfortran`:

* Linux: `apt install gfortran`
* Mac: `brew install gcc`
* [gfortran for Windows](https://www.scivision.dev/windows-gcc-gfortran-cmake-make-install/) (MinGW)
   Windows only: from Powershell:

   ```posh
   echo "[build]`ncompiler=mingw32" | Out-File -Encoding ASCII ~/pydistutils.cfg
   ```

To get the IGRF12 development version, `git clone` and then:
```sh
python -m pip install -e .
```

Otherwise, for the latest release from PyPi:
```sh
python -m pip install igrf12
```

Optionally, test the install with:
```sh
pytest
```

### Windows
If you get ImportError on Windows for the Fortran module, try from the `iri2016` directory:

```posh
del *.pyd
python setup.py build_ext --inplace --compiler=mingw32
```


## Example
To make the plots in this readme:
```sh
igrf12
```

using as a Python module at geodetic coordinates 65N, 148W:
```python
import igrf12

mag = igrf12.igrf('2010-07-12', glat=65, glon=-148, alt_km=100)
```
returns an `xarray.Dataset`:
```
<xarray.Dataset>
Dimensions:  (alt_km: 1)
Coordinates:
  * alt_km   (alt_km) int64 100
Data variables:
    north    (alt_km) float64 1.122e+04
    east     (alt_km) float64 4.148e+03
    down     (alt_km) float64 5.302e+04
    total    (alt_km) float64 5.436e+04
    incl     (alt_km) float64 77.29
    decl     (alt_km) float64 20.29
```

The IGRF model may be specified with the `igrf12.igrf(model=)` option:
* `11`: IGRF11
* `12`: IGRF12

### Matlab
Matlab can seamlessly call Python modules, as in `igrf12.m`.
Instead of the $1000 Aerospace Toolbox, use this free IGRF12 for Matlab.

## Reference

If you only want the plain Fortran program, you can do:

```sh
cmake -B build

cmake --build build --parallel

./testigrf
```

### References

-   [IGRF12 Fortran code](http://www.ngdc.noaa.gov/IAGA/vmod/igrf12.f)
-   [IGRF11 Fortran code](http://www.ngdc.noaa.gov/IAGA/vmod/igrf11.f)
-   WMM2015 [inclination map](https://www.ngdc.noaa.gov/geomag/WMM/data/WMM2015/WMM2015_I_MERC.pdf)
-   WMM2015 [declination map](https://www.ngdc.noaa.gov/geomag/WMM/data/WMM2015/WMM2015_D_MERC.pdf)
head-controller 1.1.2
A package to quickly train and predict head gestures
Keywords: head,controller,nueral net,movement,axis,recognition,computer vision,head tracking

#### Requirements

- Anaconda Python >= 3.7

#### Quickstart

Quickly train 4 gestures for the model to learn. Press the UP, DOWN, RIGHT, and LEFT arrows on your keyboard to 'label' each gesture in realtime. After 30 seconds you'll be prompted to save (append) the new training data. It will immediately show you a cross-validation score of the fitted data.
Initialize, Train, and Predict in less than 60 seconds (using your webcam).


```
import head_controller.db as db
import head_controller.Camera as Camera

# Initialize gesture training data
db.setup_db()

# Capture webcam gestures with live arrow-key labelling
Camera.capture_review_submit_labels()

# Realtime predict webcam gestures
Camera.check_video_frame_data_predict()
```