semvec/pypi-packages huggingface dataset:
kolibri-report 0.1.7
A report package for kolibri-ml
Requires Python: >=3.7

# Kolibri-report

A package which report all your results from kolibri-ml
# Contents

```
├── README.md

```

- `README.md`: this documentation

## Install Homebrew

Follow [Neil Gee's guide](https://coolestguidesontheplanet.com/installing-homebrew-on-macos-sierra-package-manager-for-unix-apps) to install and set up homebrew for Mac OS Sierra

## Install Python 3

You can install Python 3 with Homebrew following the instructions from [The Hitchhiker's Guide to Python](http://python-guide-pt-br.readthedocs.io/en/latest/starting/install3/osx/) or following the very complete [Lisa Tagliaferri's guide](https://www.digitalocean.com/community/tutorials/how-to-install-python-3-and-set-up-a-local-programming-environment-on-macos).

Basically:

```bash
brew install python3
```

## Install kolibri-report

Now, you are ready to install `kolibri-report`:

```bash
pip3 install kolibri-report
```

Once you have installed Kolibri-reprot which automatically install all other dependecies.
kaboom-python 0.0.2
The official Kaboom python package
Keywords: python,comics,cartoons,tracker


# Kaboom Python

A Kaboom API Python wrapper. This wrapper implements all of the endpoints (comics, cartoons and accounts) for Kaboom in an easy to use manner.

## Installation

```
pip install kaboom-python
```

## Basic Usage

**Searching for a comic**

```python
from kaboom_python.base import Base
from kaboom_python.comics import ComicsClient

kaboom = Base()
# The url to the Kaboom instance. If this is not provided it will default to the staging instance
kaboom.url = "http://127.0.0.1:8000"

# Search for the comic 'Fables'
data = ComicsClient().get_comics(query='fables')
print(data)
```

**Logging in**

```python
from kaboom_python.base import Base

kaboom = Base()

# Log in as the staging demo user. This saves the users access token as an environment variable 
# and automatically authenticates auth required requests.
user = kaboom.login(username='demo', password='kaboom123')
# Securely save the access token if needed
print(user['token'])
```

If you already have the users access token you can just set it like this and avoid making an api call with user credentials:

```python
kaboom.access_token = 'aabbccggeeffgghhiijjkkllmmnnooppqqrrsstt'
```

**Signing up**

```python
from kaboom_python.base import Base

kaboom = Base()

# Creates an account, then logs the user in automatically
user = kaboom.signup(username='tmp', password='super_strong_password', email='tmp@example.com')
# Securely save the access token if needed
print(user['token'])
```