### Install ratelimit Project

Source: https://github.com/tomasbasham/ratelimit/blob/master/CONTRIBUTING.rst

Steps to clone the ratelimit repository and install its dependencies using pip.

```bash
git clone <repository-url>
cd ratelimit
pip install -r requirements.txt
```

--------------------------------

### Install ratelimit from GitHub

Source: https://github.com/tomasbasham/ratelimit/blob/master/README.rst

Installs the latest version of the ratelimit package directly from its GitHub repository by cloning the repository and running the setup script.

```bash
git clone https://github.com/tomasbasham/ratelimit
cd ratelimit
python setup.py install
```

--------------------------------

### Install ratelimit via PyPI

Source: https://github.com/tomasbasham/ratelimit/blob/master/README.rst

Installs the ratelimit package using pip, typically by adding it to a requirements.txt file.

```bash
pip install ratelimit
```

--------------------------------

### Basic API Call Rate Limiting

Source: https://github.com/tomasbasham/ratelimit/blob/master/README.rst

Demonstrates how to use the @limits decorator to restrict a function to a maximum number of calls within a specified period. The example limits API calls to 15 within a 15-minute window.

```python
from ratelimit import limits

import requests

FIFTEEN_MINUTES = 900

@limits(calls=15, period=FIFTEEN_MINUTES)
def call_api(url):
    response = requests.get(url)

    if response.status_code != 200:
        raise Exception('API response: {}'.format(response.status_code))
    return response
```

--------------------------------

### Lint ratelimit Project with Pylint

Source: https://github.com/tomasbasham/ratelimit/blob/master/CONTRIBUTING.rst

Commands to run Pylint for code quality checks on the ratelimit project and its tests.

```bash
pylint ratelimit
pylint tests
```

--------------------------------

### Run Tests with Pytest

Source: https://github.com/tomasbasham/ratelimit/blob/master/CONTRIBUTING.rst

Command to execute the test suite for the ratelimit project using Pytest.

```bash
py.test
```

--------------------------------

### Project Dependencies

Source: https://github.com/tomasbasham/ratelimit/blob/master/requirements.txt

Lists the Python package dependencies required for the project, including testing and linting tools.

```python
pytest==2.6.4
pytest-cov==2.5.1
pylint==1.7.2
```

--------------------------------

### Implementing retry with backoff on RateLimitException (Python)

Source: https://github.com/tomasbasham/ratelimit/blob/master/README.rst

Combines `@limits` with the `backoff` library's `@on_exception` decorator. If a `RateLimitException` is raised, the function call is automatically retried with an exponential backoff strategy.

```python
from ratelimit import limits, RateLimitException
from backoff import on_exception, expo

import requests

FIFTEEN_MINUTES = 900

@on_exception(expo, RateLimitException, max_tries=8)
@limits(calls=15, period=FIFTEEN_MINUTES)
def call_api(url):
    response = requests.get(url)

    if response.status_code != 200:
        raise Exception('API response: {}'.format(response.status_code))
    return response
```

--------------------------------

### Implementing sleep and retry with @sleep_and_retry (Python)

Source: https://github.com/tomasbasham/ratelimit/blob/master/README.rst

Uses the `@sleep_and_retry` decorator alongside `@limits`. When the rate limit is hit, the current thread pauses until the limit period resets, and then the function call is automatically retried.

```python
from ratelimit import limits, sleep_and_retry

import requests

FIFTEEN_MINUTES = 900

@sleep_and_retry
@limits(calls=15, period=FIFTEEN_MINUTES)
def call_api(url):
    response = requests.get(url)

    if response.status_code != 200:
        raise Exception('API response: {}'.format(response.status_code))
    return response
```

--------------------------------

### Rate Limiting with Exponential Backoff Retry

Source: https://github.com/tomasbasham/ratelimit/blob/master/README.rst

Combines the @limits decorator with the @on_exception decorator from the 'backoff' library to automatically retry function calls that exceed rate limits using an exponential backoff strategy. It attempts a maximum of 8 retries.

```python
from ratelimit import limits, RateLimitException
from backoff import on_exception, expo

import requests

FIFTEEN_MINUTES = 900

@on_exception(expo, RateLimitException, max_tries=8)
@limits(calls=15, period=FIFTEEN_MINUTES)
def call_api(url):
    response = requests.get(url)

    if response.status_code != 200:
        raise Exception('API response: {}'.format(response.status_code))
    return response
```

--------------------------------

### Rate Limiting with Sleep and Retry

Source: https://github.com/tomasbasham/ratelimit/blob/master/README.rst

Utilizes the @sleep_and_retry decorator along with @limits to pause the current thread until the rate limit period has elapsed before retrying the function. This ensures successful execution at the cost of thread halting.

```python
from ratelimit import limits, sleep_and_retry

import requests

FIFTEEN_MINUTES = 900

@sleep_and_retry
@limits(calls=15, period=FIFTEEN_MINUTES)
def call_api(url):
    response = requests.get(url)

    if response.status_code != 200:
        raise Exception('API response: {}'.format(response.status_code))
    return response
```

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