semvec/pypi-packages huggingface dataset:
trueway-geocoding-rapidapi 0.2.3
TrueWay Geocoding API on RapidAPI
Keywords: rapidapi,trueway,geocoding

# TrueWay Geocoding API on RapidAPI

## Install
### using pip
```
pip install trueway_geocoding_rapidapi
```
### using poetry
```
poetry add trueway_geocoding_rapidapi
```

## Build
### Windows
```
git clone https://github.com/dankaprogg/trueway_geocoding_rapidapi.git

cd trueway_geocoding_rapidapi
py -m venv venv
cd venv/Scripts/ && activate && cd ../../
pip install -r requirements.txt
py setup.py sdist bdist_wheel install
```
### Linux
```
git clone https://github.com/dankaprogg/trueway_geocoding_rapidapi.git

cd trueway_geocoding_rapidapi
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python3 setup.py sdist bdist_wheel install
```
analysis_project_root 0.1.0
analysis_project_root - change the root in an analysis project.
Requires Python: >=3.7

# analysis-project-root

Reset project root for analysis projects.

For analysis projects sometimes it is useful to have a  scripts that can import from lots of relative locations in a project;

```
root/
  sub1/
    a.py
    sub2/
      b.py
  sub3/
    c.py
```

This is a very simple package that solves the problem for me and hides away unpleasant code to add to `sys.path` and change the working directory.

To install the package;

```
pip install analysis-project-root
```
notia 0.6.1
A library for interacting with the Notia.ai platform
Requires Python: >=3.7.1,<4.0.0
Keywords: machine learning,datasets

<div align="center">
<img src="https://raw.githubusercontent.com/notia-ai/client/master/resources/imgs/notia-gh-logo.png" width=60%/><br/>  
</div>
<p align="center">
<a href="https://pypi.org/project/notia/">
    <img alt="PyPi Release" src="https://img.shields.io/pypi/v/notia">
</a> 
</p>


---

Use Notia to supercharge your models with the latest training data.

-   Browse 100s of datasets from top companies and institutions.
-   Directly integrates with Jupyter for easy sharing and distribution.
-   Focus on the data science. Spend less time manually scraping and cleaning data.
-   Reproduce any experiment without any Google Drive, Dropbox etc.

## ⚡️ Quick Install

To install notia, simply:

```bash
pip install notia
```

## Usage

```python
import notia
notia.login()

notia.search("Yelp")

train_df = notia.load_dataset("XXXXX", split="train")
```

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.