pyna | Python analysis for nucleic acids | Genomics library

by dwhswenson Python Version: Current License: LGPL-2.1

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyna Summary

pyna is a Python library typically used in Artificial Intelligence, Genomics applications. pyna has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

Python analysis for nucleic acids. Analysis scripts for Curves output.

Support

Quality

Security

License

Reuse

Support

pyna has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyna is current.

Quality

pyna has no bugs reported.

Security

pyna has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pyna is licensed under the LGPL-2.1 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

pyna releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

kandi has reviewed pyna and discovered the below as its top functions. This is intended to give you an instant insight into pyna implemented functionality, and help decide if they suit your requirements.

Return a summary of the statistics
Get the minimum value of the file
Returns the maximum value of the stat
Return the stats object
Return the standard deviation
Return the mean
Count the number of samples
Reads the curves from a file
Add data
Make a key from a line
Convert value to float
Check if a line is a data line
Prepare a line
Display animation
Convert an anim object to HTML
Display an animation
Write the version file
Return the git revision string
Build the keyword dictionary

Get all kandi verified functions for this library.

pyna Key Features

No Key Features are available at this moment for pyna.

pyna Examples and Code Snippets

No Code Snippets are available at this moment for pyna.

Community Discussions

Trending Discussions on pyna

MYSQL: I want a query to get less price for group of books in m-to-m relationship

QUESTION

MYSQL: I want a query to get less price for group of books in m-to-m relationship

Asked 2020-Apr-05 at 15:09

Whats up guys.. Now, I have database for online bookstore the idea briefly, we have books and every book had by a group of seller with different prices.

Now I am trying to get a query when user search in database to get the least price for every result

For example if he typed politics then database searching for all books (from book table) that has politics as a key word and get their IDs and then search in market_book table for the least prices for these book

Like that

...

ANSWER

Answered 2020-Apr-05 at 15:08

If I understand correctly, you can do something like this:

Source https://stackoverflow.com/questions/61044639

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyna

We strongly recommend use of anaconda or miniconda to manage your Python installation. A full anaconda install will include pandas, IPython, and matplotlib. If you use miniconda, you should manually install pandas. Currently, the recommended approach to install pyña is to download the GitHub repository, and to install using pip install -e .. This allows you to use git pull to get updates to this still-developing project.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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