semvec/pypi-packages huggingface dataset:
sengkalancli 0.1
Sengkalan atau Candra Sengkala adalah cara orang Jawa menyembunyikan atau mengubah angka tahun menjadi kalimat. Contohnya adalah tahun runtuhnya kerajaan Majapahit, didapat dari candra sengkala Sirna Ilang Kertaning Bumi.

Sengkalan atau Candra Sengkala adalah cara orang Jawa menyembunyikan atau mengubah angka tahun menjadi kalimat. Contohnya adalah tahun runtuhnya kerajaan Majapahit, didapat dari candra sengkala Sirna Ilang Kertaning Bumi.
ValiCoC 999.99.9.post1
Validation code filter

=============================================
Valicoc - Validation Code Check and save
=============================================
This module uses module `re` to match more-than-four-digits-validation-code
+-------------------+------------+
|      Message      |   Result   |
+===================+============+
| 【***】您好，本次 |            |
| 登录验证码为103562|   103562   |
| ，请注意查收      |            |
+-------------------+------------+
| 【***】短信验证码 |            |
| 806549，请在十分  |   806549   |
| 钟内完成验证。    |            |
+-------------------+------------+
...

Usage:
`import valicoc
valicoc.get("Your message")`

This module is only for Chinese messages, and messages have to have
keyword `验证码`.
cafe 2.0.7
Classifying Antibodies for Expression
Requires Python: >=3.7

# cafe: Classifying Antibodies for Expression

## About

A Python package, or wrapper, that transforms FASTA files into a data format suitable for machine learning classification.

This is a research project during my computational biology internship at EMD Serono, Research and Development Institute in Billerica, MA under [Dr. Yves Fomekong Nanfack](yves.fomekong.nanfack@emdserono.com). The idea is to have each amino acid as a feature (with its respective numerical value based on solubility, hydrophobicity, etc. from the literature) and see if it is possible to predict antibodies that have high affinity or other ideal characteristics.

The `data_transform` module reads in FASTA files, extracts the amino acid sequence, splits each amino acid into its own columns, replaces each amino acid with a value provided by the user (as a file), and outputs a pandas dataframe(s).

The `ml` module performs classic machine learning tasks such as splitting the data, standardizing the data, model selection, training, and evaluating.


## Installation

**Please have Python 3.7 installed.**

Once Python 3.7 is installed, you can install the package as so:

`pip3 install cafe`

## Usage

Please see the examples folder.# cafe
scu-jwc-unofficial-toolkit 0.0.1
An unofficial toolkit for scu jwc

# SCU_JWC_toolkit
一个简单的四川大学教务处工具包

目前支持：

- 分数查询
  - 加权均分计算
  - 总学分计算
  - 任意条件过滤器
- 课表处理
  - 转换为`icalendar`对象，以提供标准日历格式的访问

改进和交流请联系zjm97@outlook.com

---
2020年2月24日更新：

彻头彻尾地重构了两年前的代码：

- 随着教务处评教系统的改革，一键评教已经没有存在下去的必要了，因此移除了一键评教功能。
- 随着一键评教的移除，目前仅剩课表导入日历的功能。
- 区分了具有不同功能的模块，将认证和主体流程模块解耦。目前提供三种登陆器：
  - 用户名密码登陆器，需要提供用户名密码，并填写验证码
  - `sessionId`登陆器，提供`JSESSIONID`即可，适用于短期内无密码登录
  - 记住密码登陆器，需提供`SPRING_SECURITY_REMEMBER_ME_COOKIE`，该值需要通过特殊方法获取
- 修正了部分函数的功能