semvec/pypi-packages huggingface dataset:
ruby1.9.1-dev 123.0.0
Hello World!
License: MIT

# Real Python Feed Reader

The Real Python Feed Reader is a basic [web feed](https://en.wikipedia.org/wiki/Web_feed) reader that can download the latest Real Python tutorials from the [Real Python feed](https://realpython.com/contact/#rss-atom-feed).

For more information see the tutorial [How to Publish an Open-Source Python Package to PyPI](https://realpython.com/pypi-publish-python-package/) on Real Python.

## Installation

You can install the Real Python Feed Reader from [PyPI](https://pypi.org/project/realpython-reader/):

    pip install realpython-reader

The reader is supported on Python 2.7, as well as Python 3.4 and above.

## How to use

The Real Python Feed Reader is a command line application, named `realpython`. To see a list of the [latest Real Python tutorials](https://realpython.com/) simply call the program:

    $ realpython
    The latest tutorials from Real Python (https://realpython.com/)
     0 How to Publish an Open-Source Python Package to PyPI
     1 Python "while" Loops (Indefinite Iteration)
     2 Writing Comments in Python (Guide)
     3 Setting Up Python for Machine Learning on Windows
     4 Python Community Interview With Michael Kennedy
     5 Practical Text Classification With Python and Keras
     6 Getting Started With Testing in Python
     7 Python, Boto3, and AWS S3: Demystified
     8 Python's range() Function (Guide)
     9 Python Community Interview With Mike Grouchy
    10 How to Round Numbers in Python
    11 Building and Documenting Python REST APIs With Flask and Connexion – Part 2
    12 Splitting, Concatenating, and Joining Strings in Python
    13 Image Segmentation Using Color Spaces in OpenCV + Python
    14 Python Community Interview With Mahdi Yusuf
    15 Absolute vs Relative Imports in Python
    16 Top 10 Must-Watch PyCon Talks
    17 Logging in Python
    18 The Best Python Books
    19 Conditional Statements in Python

To read one particular tutorial, call the program with the numerical ID of the tutorial as a parameter:

    $ realpython 0
    # How to Publish an Open-Source Python Package to PyPI

    Python is famous for coming with batteries included. Sophisticated
    capabilities are available in the standard library. You can find modules for
    working with sockets, parsing CSV, JSON, and XML files, and working with
    files and file paths.

    However great the packages included with Python are, there are many
    fantastic projects available outside the standard library. These are most
    often hosted at the Python Packaging Index (PyPI), historically known as the
    Cheese Shop. At PyPI, you can find everything from Hello World to advanced
    deep learning libraries.

    [... The full text of the article ...]

You can also call the Real Python Feed Reader in your own Python code, by importing from the `reader` package:

    >>> from reader import feed
    >>> feed.get_titles()
    ['How to Publish an Open-Source Python Package to PyPI', ...]
shadowCut 1.0.6
Deep Learning Library to speed up the coding process
License: MIT

# shadowCut

* Installation command: pip install shadowCut.

* This is a python based library for fastening the deep learning coding process. Programmer has to only select the path for train data, val data and model as mandatory but rest of the parameters are optional and for customized as needed.

* Now lets see at example for using pretrained model:
* Here suppose we have train_path = './train', valid_path='./test', model=ResNet152V2(input_shape=[224,224]+[3],weights='imagenet',include_top=False).
* Command to pass this in model is shadowCut.preTrainedModel(train_path=train_path, valid_path=test_path, model=model) it will return model's history and model respectively.
* All the tensorflow functionalities are Inherited in this library and major part of Library is constructed using tensorflow library.

* Libraries used: PIL, os, sys, tensorflow, glob2
testct 1.0.0
Package takeover from GG
License: MIT

# Real Python Feed Reader

The Real Python Feed Reader is a basic [web feed](https://en.wikipedia.org/wiki/Web_feed) reader that can download the latest Real Python tutorials from the [Real Python feed](https://realpython.com/contact/#rss-atom-feed).

For more information see the tutorial [How to Publish an Open-Source Python Package to PyPI](https://realpython.com/pypi-publish-python-package/) on Real Python.

## Installation

You can install the Real Python Feed Reader from [PyPI](https://pypi.org/project/realpython-reader/):

    pip install realpython-reader

The reader is supported on Python 2.7, as well as Python 3.4 and above.

## How to use

The Real Python Feed Reader is a command line application, named `realpython`. To see a list of the [latest Real Python tutorials](https://realpython.com/) simply call the program:

    $ realpython
    The latest tutorials from Real Python (https://realpython.com/)
     0 How to Publish an Open-Source Python Package to PyPI
     1 Python "while" Loops (Indefinite Iteration)
     2 Writing Comments in Python (Guide)
     3 Setting Up Python for Machine Learning on Windows
     4 Python Community Interview With Michael Kennedy
     5 Practical Text Classification With Python and Keras
     6 Getting Started With Testing in Python
     7 Python, Boto3, and AWS S3: Demystified
     8 Python's range() Function (Guide)
     9 Python Community Interview With Mike Grouchy
    10 How to Round Numbers in Python
    11 Building and Documenting Python REST APIs With Flask and Connexion – Part 2
    12 Splitting, Concatenating, and Joining Strings in Python
    13 Image Segmentation Using Color Spaces in OpenCV + Python
    14 Python Community Interview With Mahdi Yusuf
    15 Absolute vs Relative Imports in Python
    16 Top 10 Must-Watch PyCon Talks
    17 Logging in Python
    18 The Best Python Books
    19 Conditional Statements in Python

To read one particular tutorial, call the program with the numerical ID of the tutorial as a parameter:

    $ realpython 0
    # How to Publish an Open-Source Python Package to PyPI

    Python is famous for coming with batteries included. Sophisticated
    capabilities are available in the standard library. You can find modules for
    working with sockets, parsing CSV, JSON, and XML files, and working with
    files and file paths.

    However great the packages included with Python are, there are many
    fantastic projects available outside the standard library. These are most
    often hosted at the Python Packaging Index (PyPI), historically known as the
    Cheese Shop. At PyPI, you can find everything from Hello World to advanced
    deep learning libraries.

    [... The full text of the article ...]

You can also call the Real Python Feed Reader in your own Python code, by importing from the `reader` package:

    >>> from reader import feed
    >>> feed.get_titles()
    ['How to Publish an Open-Source Python Package to PyPI', ...]
kdezero 2.1
This library is an my improved version of "Deep Learning from Basic 3".
License: MIT

# K_DeZero

## Overview

This library is an my improved version of "Deep Learning from Basic 3".
(In production)

## Requirement

- Python3.8
- If you use gpu, cupy
- If you want to visualize the model, install graphviz
- For details, see requirements.txt

## Usage

Method1:
```
pip install kdezero
```

Method2:
```
git clone https://github.com/kotabrog/K_DeZero.git
cd kdezero
python setup.py sdist
pip install dist\kdezero-2.1.tar.gz
```

Then you will be able to use "kdezero".

## sample

Look at [samples](https://github.com/kotabrog/K_DeZero/tree/main/samples).

## Features

This library can:

- Backpropagation-enabled variables can be used like numpy
- Contains basic machine learning parts
- Some support gpu
- Visualize model configuration using graphviz

## Author

[twitter](https://twitter.com/Kotabrog)

## Licence

[MIT](https://github.com/kotabrog/K_DeZero/blob/main/LICENSE)