semvec/pypi-packages huggingface dataset:
lightmgb 1.0.0
Read the latest Real Python tutorials
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/):

    python -m pip install realpython-reader

The reader is supported on Python 3.7 and above. Older versions of Python, including Python 2.7, are supported by version 1.0.0 of the reader.

## 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/), call the program without any arguments:

    $ 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 â€“ 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', ...]
ecopower 1.3
This library allows you to efficiently use the hardware power of network devices.
License: MIT
Keywords: ecopower

# Ecopower
## Fighting rebound effect together

Ecopower is a simple python3 library that provides computing power reallocation. Efficient use of existing capabilities instead of turning on and maintaining new servers allows significantly reduce the rebound effect and protect environment.

## History of creation

Climate change has already impacted ecosystems and humans. One of the most pressing issues of our time, it threatens the lives and livelihoods of billions of people. All forms of electricity generation have an environmental impact on our air, water and land. Producing and using electricity more efficiently reduces both the amount of fuel needed to generate electricity and the amount of greenhouse gases and other air pollution emitted as a result. 

It seems that today everyone is trying to save resources and reduce energy consumption. But here's the paradox: energy conservation measures often lead to exactly the opposite results. Despite the widespread installation of energy-saving lamps and the use of economical household appliances, electricity consumption is not decreasing as much as planned, and sometimes even growing! The so-called rebound effect is "guilty" of this.

A typical example of a rebound effect is associated with refrigerators. Modern ones consume no more than half of the electricity consumed by refrigerators released 20-25 years ago. But largely due to this, German citizens began to prefer refrigerators with a larger capacity. And besides, these more voluminous refrigerators have begun to be bought more often, and they are being changed, even if the old ones, also energy efficient, still work normally. [According to statistics][stat], only 13 percent of German houses and apartments have refrigerators manufactured more than 10 years ago, but 20 percent of refrigerators were purchased in the last two years.

Thus, the rebound effect is an increase in electricity consumption due to an increase in the number of devices or a change in consumer attitudes towards their use. According to various studies, which the sociologist and economist Tilman Santarius cites [in his book][book], the rebound effect in Germany is from 10 to 45 percent. Some people think this phenomenon is overrated, but in reality it is the elephant in the room.

## Installation

Ecopower requires no special modules. Just install it using pip:
```sh
pip3 install ecopower
```

## Usage

Start package as module:
```sh
python3 -m ecopower
```

## License

MIT

[//]: # 
   [stat]: <https://de.statista.com/statistik/daten/studie/662836/umfrage/umfrage-zum-alter-ddes-kuehlschranks-im-haushalt-in-deutschland/>
   [book]: <https://www.metropolis-verlag.de/Der-Rebound-Effekt/1176%20/book.do>
gcodeBuddy 1.1.1
Python package used to write to, read from, and interpret g-code files
License: MIT

# gcodeBuddy

gcodeBuddy is a python library intended to ease the process
of writing to, reading from, and interpreting g-code files, particularly geared towards
3D printer g-code flavors like Marlin.

## Installation

Use the package manager
[pip](https://pip.pypa.io/en/stable/) to install gcodeBuddy.

```bash
pip install gcodeBuddy
```

## View the Documentation with Example Usages

https://gcodebuddy.readthedocs.io/

## Supported G-code Flavors

[Marlin](https://marlinfw.org/meta/gcode/)

## Contributions

Pull requests are more than welcome. For most cases, open
an issue first to discuss what you would like to change.

## License

[MIT](https://choosealicense.com/licenses/mit/)