semvec/pypi-packages huggingface dataset:
get-mseed-data 0.3.1
Python code to download mseed data from differente services

# get_mseed_data

This code allows to choose between different MSEED servers (ARCLINK, SEEDLINK, ARCHIVE, FDSN) and download MSEED data using either end_time or window_size in seconds. 

# Installation

```bash
$ pip install get_mseed_data
```

# How to call it

Define a json file with the information of the servers. Create a dictionary using get_mseed_utils. See the test_get_mseed.py for references.
ibis-heavyai 1.1
Ibis HeavyDB backend
Requires Python: >=3.7

# Ibis HeavyDB backend

[Ibis](https://ibis-project.org/) is a Python framework to write data analytics
code, in a similar way to [pandas](https://pandas.pydata.org/). Ibis can
execute the queries not only in memory (as pandas does), but in different
backends, including SQL databases, and analytics databases, like
[HeavyDB](https://heavy.ai).


[HeavyDB](https://heavy.ai) is SQL-based,
relational, columnar and specifically developed to harness the massive
parallelism of modern CPU and GPU hardware. HeavyDB can query up to billions
of rows in milliseconds, and is capable of unprecedented ingestion speeds,
making it the ideal SQL engine for the era of big, high-velocity data.

## Install

You can install `ibis-heavyai` via [pip](https://pypi.org/) or
[conda](https://conda.io/):

Install with pip:

```sh
pip install ibis-heavyai
```

Install with conda:

```sh
conda install -c conda-forge ibis-heavyai
```

## Documentation

The ibis-heavyai documentation can be found
[here](https://github.com/heavyai/ibis-heavyai/docs/heavyai.rst).
tkitScrapyMongoPipeline 0.0.0.116522771
tkitScrapyMongoPipeline,

# tkitScrapyMongoPipeline
# MongoPipeline

https://docs.scrapy.org/en/latest/topics/item-pipeline.html


数据存储到mongodb




```commandline



# settings
import tkitScrapyMongoPipeline
# 1、设置MongoDB 的数据库地址
MONGO_URI = "mongodb://192.168.123.117:27017/"
MONGO_DATABASE="test"
# # 2、启用中间件MongoPipeline
ITEM_PIPELINES = {
   # 'base.pipelines.DuplicatesPipeline': 100,
   'base.pipelines.MongoPipeline': 100,
}








# item 字段示例
 item={
#设置强制去重复字段
"unique_id":url,
"title": title, "url": url, "content": text, "site": "playbarkrun.com", "content_type": "content",
# 设置表名
"collection_name":"test11"
}



```






详细参考

> dev.md