semvec/pypi-packages huggingface dataset:
know-the-time 0.0.8
Get the time in different formats. Quickly available time stamps, dates, etc. are available useing functions. - makes `datetime` more available.
Keywords: python


# know_the_time

Get the time in different formats. Quickly available time stamps, dates, etc. are available useing functions. - makes `datetime` more available.
## Content
- Installation
- Usage

## Installation
- `pip install know-the-time`

## Usage

## Links
[GitHub](https://github.com/ICreedenI/know_the_time) | [PyPI](https://pypi.org/project/know-the-time/)
basalam.backbone-redis-cache 0.0.13
Python Utilities & Basalam Micro-Services SDK
Requires Python: >=3.6

#### Requirements

- Python 3.6+

#### Installation & Upgrade

```shell
pip install backbone-redis-cache
```

#### Usage

```python
from basalam.backbone_redis_cache import RedisCache
from redis.asyncio import Redis


cache = RedisCache(
    connection=Redis(host="127.0.0.1", port=6379),
    prefix="ORDER_CACHE."
)

await cache.set("key", "value", seconds=10 * 60)
await cache.get("key", default="Nevermind")

await cache.mset({'key1': "value1",'key2': "value2"}, seconds=15 * 60)
await cache.mget(["key1", "key2"], default="Whatever")

# Counter Manipulation
await cache.cset("key", 1, seconds=60)
await cache.cget("key")

await cache.exists("key")
await cache.forget("key")

await cache.flush()
```

#### Testing

```bash
# install pytest
pip install pytest

# run tests
python -m pytest
```

#### Changelog
- 0.0.3 Now build and push are done using gitlab-ci
- 0.0.5 set & get a counter thanks to abdi.zbn@gmail.com
- 0.0.10 added scan method thanks to ali.alimohammadi@basalam.com
swiss-ai-cli 2.1.3
Professional AI command-line interface with intelligent routing and MCP integration
Requires Python: >=3.8
Keywords: ai, cli, assistant, openrouter, llm, chatgpt, gpt, artificial intelligence

# Swiss AI CLI

For full documentation, see docs/README.md.

- Quick start: install Python 3.9+, then `pip install .` (or `pip install swiss-ai-cli` once published)
- CLI entrypoint: `swiss-ai`
- Bridge (optional): see `bridge/Dockerfile` and `bridge/app.py`

Project docs: ./docs/README.md