semvec/pypi-packages huggingface dataset:
pgcaw 1.0.1
PGCAW is a very simple API wrapper for the github contributions calendar.
Requires Python: >=3.6
Keywords: Github calendar,Github contributions,API,API Wrapper,Github

# PGCAW: The Python Github Calendar API Wrapper
PGCAW is a very simple API wrapper for the github contributions calendar. The wrapper supports extracting data about any given users contribution history, 
such as total contributions in the last year and daily contribution numbers. 

## Installation
The recommended way to install PGCAW is using pip.
```
pip install pgcaw
```

## Usage
To gather data about a specific Github user you first need to create a `Contributions` instance, initialized with the given users username.
```python
>>> import pgcaw
>>> contributions = pgcaw.Contributions("CGodiksen")
```
Using this instance you can now get data related to the users Github calendar.
```python
>>> contributions.total()
1758
>>> contributions.daily()
[(datetime.date(2020, 12, 20), 1), (datetime.date(2020, 12, 21), 1), (datetime.date(2020, 12, 22), 16)]
```
Notice that `daily()` returns a list of tuples with the format `[(date, number_contributions_on_date)]`.

The class also contains some utility methods used to extract further information from the contributions graph.
```python
>>> daily = contributions.daily()
>>> contributions.current_streak(daily)
(23, datetime.date(2020, 1, 12), datetime.date(2020, 12, 23))
>>> contributions.longest_streak(daily)
(105, datetime.date(2020, 8, 10), datetime.date(2020, 11, 23))
```
Note here that both `current_streak()` and `longest_streak()` returns a tuple with the format `(streak_length, from_date, to_date)`.
ytimg2 1.0
Gets thumbail of a Youtube video
Requires Python: >=3.6

# installation
pip3 install ytimg2

# usage
```
import ytimg
ytimg.get(https://www.youtube.com/watch?v=vmoPjrmrtU4)
# returns: https://i.ytimg.com/vi/vmoPjrmrtU4/hqdefault.jpg
```
## License
[MIT](https://choosealicense.com/licenses/mit/)
com.wyattbaldwin.cached-property 1.0.post2
@cached_property
Requires Python: >=3.6,<4.0

# Cached Property

Provides a thread safe `@cached_property` decorator that can be used
in place of the built in `@property` decorator for properties that are
expensive to compute or that aren't expected to change over the lifetime
of an instance.

## Usage

    >>> from cached_property import cached_property
    >>> class MyClass:
    ...     @cached_property
    ...     def prop(self):
    ...         return 2 ** 42
    ...
    >>> instance = MyClass()
    >>> "prop" in instance.__dict__
    False
    >>> instance.prop  # value computed and cached
    4398046511104
    >>> "prop" in instance.__dict__
    True
    >>> instance.prop  # cached value returned directly
    4398046511104
ytimg 1.1
Gets thumbail of a Youtube video
Requires Python: >=3.6

# installation
pip3 install ytimg

# usage
```
import ytimg
ytimg.get(https://www.youtube.com/watch?v=vmoPjrmrtU4)
# returns: https://i.ytimg.com/vi/vmoPjrmrtU4/hqdefault.jpg
```
## License
[MIT](https://choosealicense.com/licenses/mit/)
pgcaw-CGodiksen 0.0.1
PGCAW is a very simple API wrapper for the github contributions calendar.
Requires Python: >=3.6

# PGCAW: The Python Github Calendar API Wrapper
PGCAW is a very simple API wrapper for the github contributions calendar. The wrapper supports extracting data about any given users contribution history, 
such as total contributions in the last year and daily contribution numbers. 

## Installation
The recommended way to install PGCAW is using pip.
```
pip install pgcaw
```

## Usage
To gather data about a specific Github user you first need to create a `Contributions` instance, initialized with the given users username.
```python
>>> import pgcaw
>>> contributions = pgcaw.Contributions("CGodiksen")
```
Using this instance you can now get data related to the users Github calendar.
```python
>>> contributions.total()
1758
>>> contributions.daily()
[(datetime.date(2020, 12, 20), 1), (datetime.date(2020, 12, 21), 1), (datetime.date(2020, 12, 22), 16)]
```
Notice that `daily()` returns a list of tuples with the format `[(date, number_contributions_on_date)]`.

The class also contains some utility methods used to extract further information from the contributions graph.
```python
>>> daily = contributions.daily()
>>> contributions.current_streak(daily)
(23, datetime.date(2020, 1, 12), datetime.date(2020, 12, 23))
>>> contributions.longest_streak(daily)
(105, datetime.date(2020, 8, 10), datetime.date(2020, 11, 23))
```
Note here that both `current_streak()` and `longest_streak()` returns a tuple with the format `(streak_length, from_date, to_date)`.
cp77-hairdresser 0.1.1
Cyberpunk 2077 hairstyle changer
Requires Python: >=3.6

# cp77_hairdresser

A python lib for changing hairstyle in Cyberpunk 2077.

# Creating a package for PIP

First, edit the version in `setup.py`.

```
python3 setup.py sdist bdist_wheel
python3 -m twine upload --repository testpypi dist/* #for test pypi
python3 -m twine upload --repository pypi dist/* #for pypi
```

# Installation (for users)

* Install Python3 (64 bit, enable "Add to PATH" checkbox during install)

```
pip install pyqt5
pip install cp77_hairdresser
```

# Running the program

To run GUI, execute
```
python3 -m cp77_hairdresser.editor_gui
```

There is also script version of the program. To run it, execute
```
python3 -m cp77_hairdresser.editor
```

Use `-h` flag to display help information on how to use the script version.
even-gits 0.1.0
Cyberpunk 2077 hairstyle changer
Requires Python: >=3.6

# cp77_hairdresser

A python lib for changing hairstyle in Cyberpunk 2077.

# Creating a package for PIP

First, edit the version in `setup.py`.

```
python3 setup.py sdist bdist_wheel
python3 -m twine upload --repository testpypi dist/* #for test pypi
python3 -m twine upload --repository pypi dist/* #for pypi
```

# Installation (for users)

* Install Python3 (64 bit, enable "Add to PATH" checkbox during install)

```
pip install pyqt5
pip install
```

# Running the program

To run GUI, execute
```
python3 -m cp77_hairdresser.editor_gui
```

There is also script version of the program. To run it, execute
```
python3 -m cp77_hairdresser.editor
```

Use `-h` flag to display help information on how to use the script version.