semvec/pypi-packages huggingface dataset:
daleydai 0.0.3
karod bata road...
License: MIT

# daleydai

## karod bata road...

## Commands

### Fetch latest stock price and dump it to local file. Run it once a day to get latest data.

```bash
$ daleydai init
```

## Portfolio Commands

### Show my shares

```bash
$ daleydai show
```

### Add my shares

```bash
$ daleydai add <stock symbol>
```

### Remove from my shares

```bash
$ daleydai remove <stock_symbol>
```

## Broker Commands

Show bought or sold stocks by particular broker

```bash
$ daleydai buyer <broker_id>
```

```bash
$ daleydai seller <broker_id>
```
tweezers 0.0.2
A lightweight library for scraping Twitter data.
License: MIT
Requires Python: >=3.9
Keywords: api,twitter,data

# Tweezers
## Lightweight Python library for scraping data via the Twitter search API.
```python
from tweezers import Tweezers
```
#### Create an instance of Tweezers with API credentials

```python
# Loading Twitter auth credentials from a local JSON file. Get yours here:
# https://developer.twitter.com/en/apps/
import json
import os

fp = os.path.join(os.getcwd(), "credentials.json")
with open(fp) as f:
    credentials = json.load(f)

t = Tweezers(
    api_key=credentials["api_key"],
    api_secret_key=credentials["api_secret_key"],
    access_token=credentials["access_token"],
    access_token_secret=credentials["access_token_secret"]
)
```
#### Perform a search
Searching returns an instance of a class `TweezerSearch`, which contains various data attributes returned by the Twitter API:

```python
s = t.search(search_term="bitcoin", total=1000, result_type="recent")
# All the tweet results are returned in a Pandas DataFrame:
s.results_df.head()
```