semvec/pypi-packages huggingface dataset:
cuhk-seis 0.0.2
package for earthquake location purpose
License: MIT
Requires Python: >=3.7

1. Install Anaconda

2. run "conda create -n cuhk_seis python=3.7"

3. run "conda activate cuhk_seis"

4. run "pip install cuhk-seis"

5. 'cd example'

6. 'jupyter notebook'

7. download EQTransofmer "https://github.com/smousavi05/EQTransformer.git" for more detail

This is a package for seismic data processing for earthquake location purpose. Developed by the CUHK Seismology Lab.
financialanalysis 1.2.0
All-in-one tools for financial analysis
License: MIT
Requires Python: >=3.6
Keywords: pandas,finance,pandas datareader

Author : Yoshio Yamauchi 山内義生
Twitter : [@sparkle_twtt](https://twitter.com/sparkle_twtt)  
Medium : [@sparkle_mdm](https://sparkle-mdm.medium.com/)  
Email : sparkle.official.01@gmail.com  

You can ask me whatever about this package.


## Description
This package is  bunch of tools for financial analysis.
If you write a code of financial analysis, it may be possible that you feel it not easy, because doing work with big data of finance includes problems like how to handle time series objects, convert data types, replace missing values, finding outliers, and so on.

Writing code that addresses every kind of problems is extremely hard. Thus, as a help for everyone who wants to do financial analysis, I put together some useful functions here as a package.  

## Dependencies
This package is written over some Python packages. Please install the following packages before you install the package financialanalysis.
<ol>  
<li>numpy </li>  
<li>matplotlib</li>  
<li>pandas</li>  
<li>sklearn</li>  
</ol>
If you run into a a issue about dependencies when using financialanalysis, please install necessary packages following error messages.
com2ann 0.3.0
Tool to translate type comments to annotations.
License: MIT
Requires Python: >=3.8
Keywords: typing function annotations type hints type comments variable annotations

com2ann
=======

Tool for translation of type comments to type annotations in Python.

This tool requires Python 3.8 to run. But the supported target code version
is Python 3.4+ (can be specified with ``--python-minor-version``).

Currently, the tool translates function and assignment type comments to
type annotations.

The philosophy of of the tool is too minimally invasive, and preserve original
formatting as much as possible. This is why the tool doesn't use un-parse.
ipy-pdcache 0.1.0
Automatically cache results of intensive computations in IPython.
License: MIT
Requires Python: >=3.7.1,<4.0.0

# %%pdcache cell magic

[![pypi version](https://img.shields.io/pypi/v/ipy-pdcache.svg)](https://pypi.org/project/ipy-pdcache/)
[![Tests](https://github.com/kpj/ipy_pdcache/workflows/Tests/badge.svg)](https://github.com/kpj/ipy_pdcache/actions)


Automatically cache results of intensive computations in IPython.

Inspired by [ipycache](https://github.com/rossant/ipycache).


## Installation

```bash
$ pip install ipy-pdcache
```


## Usage

In IPython:

```python
In [1]: %load_ext ipy_pdcache

In [2]: import pandas as pd

In [3]: %%pdcache df data.csv
   ...: df = pd.DataFrame({'A': [1,2,3], 'B': [4,5,6]})
   ...:

In [4]: !cat data.csv
,A,B
0,1,4
1,2,5
2,3,6
```

This will cache the dataframe and automatically load it when re-executing the cell.