semvec/pypi-packages huggingface dataset:
eme_selex 0.4
Perform k-mer abundance analysis in DNA sequences

# eme_selex

eme_selex (***Every Motif Ever for SELEX Analysis***) is a Python package to perform k-mer abundance analysis in DNA sequences. ***eme_selex*** is developed to perform fast and efficient analysis of short k-mers (tested with k-mers up to length 10). 

While ***eme_selex*** can be used for general purpose k-mer analysis, motivation to develop ***eme_selex*** is to perform [**S**ystemic **E**volution of **L**igands by **EX**ponential enrichment coupled with **H**igh **T**hroughput sequencing (HT-SELEX)](https://en.wikipedia.org/wiki/Systematic_evolution_of_ligands_by_exponential_enrichment) analysis in a Pythonic way. By default, for every k-mer, ***eme_selex*** quantifies the fraction of reads containing that k-mer *in a non-redundant manner*. After the quantification, a basic position frequency matrix (PFM) for the top 50 k-mers is generated. If the user wants to generate more PFMs, they can change the *top* keyword argument to a desired number.

## Installation

```bash
pip install eme_selex
```

## Tutorial for HT-SELEX analysis

Jupyter notebooks detailing the usage of ***eme_selex*** and extensive analysis for HT-SELEX are hosted here [https://eme_selex.readthedocs.io](https://eme_selex.readthedocs.io)
ecom-scraper 1.1
Ecommerce scraper library
Requires Python: >=3.8

# Ecommerce Retailer Scraper

The purpose of this project is to create a library of spiders/scraper for major online ecommerce retailer shop such as Amazon, Sephora, Walmart, and many other brands. The app will return product information and review as well in JSON format. 

The extracted data you can use for market research, product design, consumer buying impulse...The sky is the limit.

## Instruction:
1. How to install:
```angular2html
pip install ecom-scraper
```
2. How to use:
```python
from ecom_scraper.spiders.sephora import Sephora
# Sephora spider take either product url or productid Sephora(url=url, productid=product_id)
url = 'https://www.sephora.com/product/huda-beauty-liquid-matte-ultra-comfort-transfer-proof-lipstick-P479843'
product_id = 'P479843'
sephora = Sephora(url=url)
# Or
sephora = Sephora(productid=product_id)
product_info = sephora.scrap_product_info()  # Scrap product info
product_reviews = sephora.scrap_product_reviews()  # Scrap product reviews
```
## Supported Scrapers


- [Ulta Scraper](https://www.ulta.com/)
- [Sephora Scraper](https://www.sephora.com/)


## Add a New Spider or Feature


If you want to add a spider/scraper to the app or even a new feature please use the link bellow or open it as an issue in this github repo. Most upvoted feature will be added to the app.

> [Add new spider or feature](https://vote.hnmedia.io/)


## Upcoming Scraper/Spiders


- [verishop Scraper](https://www.verishop.com/)
- [uncommongoods Scraper](https://www.uncommongoods.com/)


## Contribution


You are most welcome to contribute to this project and create pull requests.


## Credit


- [@diemonster](https://github.com/diemonster) for all his comments, feedbacks and instruction.
- Everyone in the `#python` community in the [libera IRC](https://libera.chat)

## Disclimar


This library is built for educational puposes ONLY, use at your own risk.