semvec/pypi-packages huggingface dataset:
podfeed 1.0.1
A simple podcast feed parser
Requires Python: >=3
Keywords: podcast RSS feed parser

# podfeed
`podfeed` is a python3 package that will read an RSS feed for a podcast and provide episode-level utilties for download or playlist creation.

## Installation
```
$ pip install podfeed
```

## Example Usage
```python
from podfeed import parseFeed

# Collect episodes published after May 1st, 2018 
episodes = parseFeed("https://www.npr.org/rss/podcast.php?id=510289", 1525132800)

# Write each episode to a file
for episode in episodes:
  episode.writeFile("./{0}_{1}.{2}".format(
    episode.getTitle(), episode.getDate(), episode.getExt()))
```

## Documentation
[podfeed Documentation](https://mmazzocchi.github.io/podfeed/)

## Logging
`podfeed` uses the built-in python [logging module](https://docs.python.org/3/library/logging.html), using loggers with the top-level name `podfeed`.
td-ameritrade-api 1.0.4
A python wrapper for the TD ameritrade API
Requires Python: >=3.6

# TD Ameritrade API

## Setup instructions
Make sure you are using python 3.6 or greater, preferably python 3.7
I also highly recommend using `python-dotenv` to keep your api information safe.
To do this, create a .env file with the `REFRESH_TOKEN`, `CONSUMER_KEY`, and `ACCOUNT_ID` variables and install `python-dotenv`.

## How to use
```Python
from dotenv import load_dotenv
import td_ameritrade_api as td
from os import getenv

load_dotenv()
client = td.client(getenv("REFRESH_TOKEN"), getenv("CONSUMER_KEY"), getenv("ACCOUNT_ID"))

print(client.quote("AAPL"))
```
You can find all of the other functions in the `td_client.py` file.
There is no documentation yet, but it will be coming soon.