semvec/pypi-packages huggingface dataset:
SRAdownload 2.6
downloads SRA short reads from either NCBI or EBI and converts them into fastq.gz files
Keywords: bioinformatics,genomics,short reads,SRA

SRAdownload
===========
Install it via PIP

::

  pip install --upgrade SRAdownload


Usage
::
	Usage: SRAdownload [OPTIONS] [RUN]...

	  A simple tool that downloads SRA short reads by their accessions (RUN)
	  from either NCBI or EBI and converts them into fastq.gz files. Version 1.0

	  Try it with "SRAdownload SRR2223576 SRR2223582"

	Options:
	  -f, --folder TEXT  Root folder for fetched short reads. Each SRA record will
						 be saved in a sub-folder. DEFAULT: current folder

	  -s, --source TEXT  Sources for reads, change to EBI,NCBI if your connection
						 to EBI is faster. DEFAULT: NCBI,EBI

	  -h, --help         Show this message and exit.
jptrade 1.0.0
A package for visualizing bilateral import between Japan and any country
Requires Python: >=3.7

# World-Trade-Visualization
This is package for visualizing bilateral imports.
You can visualize the bilateral import volume between Japan and any country.
You can also specify import items if you wish. 
In that case, enter the following numbers as arguments.

1:"Animal products"
2:"Dairy products"
3:"Fruits, vegetables, plants"
4:"Coffee, tea"
5:"Cereals and preparations"
6:"Oilseeds, fats and oils"
7:"Sugars and confectionery"
8:"Beverages and tobacco"
9:"Cotton"
10:"Other agricultural products"
11:"Fish and fish products"
12:"Minerals and metals"
13:"Petroleum"
14:"Chemicals"
15:"Wood, paper, etc"
16:"Textiles"
17:"Clothing"
18:"Leather"
19:"Non-electrical machinery"
20:"Electrical machinery"
21:"Transport equipment"
22:"Manufactures n.e.s."
kotonohagetter 0.0.2
A package for visualization of aggregate data of players in "Kotoha Tango"
Requires Python: >=3.7

# kotonohatango-getter
ことのはたんごのプレイヤーの集計データを可視化できるPython Package。  
Python Package for visualization of aggregate data of players in "Kotoha Tango".

[ことのはたんご](https://plum-chloride.jp/kotonoha-tango/index.html)

## Example of use
```
pip install kotonohagetter
python kotonohagetter.py 20
```
usage: kg.py [-h] [--F F] Number  
visualization of aggregate data of players in Kotoha Tango  
positional arguments:  
　Number      Get the [Number]th data.(int)  
optional arguments:  
　-h, --help  show this help message and exit  
　--F F       Getting word data?(bool:[y,t,true]or[n,f,false])[Default:True] 

**output**  
  
![image](https://user-images.githubusercontent.com/70005022/171073813-301307d5-268d-42ec-9fc8-5de011af87aa.png)
  
1-10 Percentage of users cleared there.  
x Percentage of users who could not clear.