semvec/pypi-packages huggingface dataset:
axonsuite 0.1.0
AxonSuite: Curated ML & DL collections you can install in one command.
License: MIT
Requires Python: >=3.9
Keywords: machine-learning, deep-learning, pip, setup, education, hackathon

# AxonSuite 🧠⚡


**AxonSuite** is a curated set of pip *extras* that lets you install complete ML/DL stacks with one command. Ideal for **freshers, hackathons, interviews, college labs**, and anyone who wants to skip setup stress.

# Show groups
axonsuite list


# See what's inside a group
axonsuite show ml-basic


## Install


Pick exactly what you need:


```bash
# Tabular ML essentials (numpy/pandas/sklearn/plots)
pip install axonsuite[ml-basic]


# Advanced ML (boosting + encoders + imbalance)
pip install axonsuite[ml-advanced]


# Deep learning cores (TensorFlow + PyTorch CPU wheels)
pip install axonsuite[dl-basic]


# Vision/Audio/NLP DL add‑ons (torchvision/torchaudio/TFP/transformers)
pip install axonsuite[dl-advanced]


# Viz add‑ons (plotly, pydot, graphviz)
pip install axonsuite[viz]


# NLP stack (nltk, gensim, spaCy, datasets, transformers)
pip install axonsuite[nlp]


# Utilities (dotenv, requests)
pip install axonsuite[utils]


# Everything (heavy)
pip install axonsuite[all]
duckdb-http 0.1.3
DuckDB HTTP dialect for SQLAlchemy
License: MIT
Requires Python: >=3.8

# DuckDB HTTP SQLAlchemy Plugin

A lightweight SQLAlchemy dialect/plugin for connecting to **DuckDB**, on top of httpserver duckdb extension. Works with **Superset** for visualization.

## Features

- Connect to DuckDB via SQLAlchemy.
- Support multiple connection read/write.
- Support auth:
  - Basic auth : duckdb_http://alice:secret@localhost:9999
  - API key: duckdb_http://localhost:9999?api_key=SECRETKEY
- Read only mode: add ?read_only=true

---

## Installation

```bash
pip install duckdb_http
```

---

## Usage

### 1. Connect to DuckDB

```python
from sqlalchemy import create_engine, text

# Connect to local DuckDB database
engine = create_engine("duckdb_http://user:pass@localhost:9999")
# engine = create_engine("duckdb_http://localhost:9999?api_key=secretkey")

with engine.connect() as conn:
    # Execute queries using SQLAlchemy text()
    result = conn.execute(text("SELECT 1"))
    print(result.fetchone())
```

---

## Notes

- Always wrap raw SQL with `text()` when using SQLAlchemy 2.x.
- Compatible with Superset: once installed, you can select **DuckDB** as a database backend.
- Supports multiple schemas and introspection.