stock-analyzer | correlation analyzer | Time Series Database library

by stewartpark Python Version: Current License: No License

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

kandi X-RAY | stock-analyzer Summary

stock-analyzer is a Python library typically used in Database, Time Series Database applications. stock-analyzer has no bugs, it has no vulnerabilities and it has low support. However stock-analyzer build file is not available. You can download it from GitHub.

A correlation analyzer that determines the relationship between stocks and commodities by given data.

Support

Quality

Security

License

Reuse

Support

stock-analyzer has a low active ecosystem.

It has 9 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

stock-analyzer has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of stock-analyzer is current.

Quality

stock-analyzer has no bugs reported.

Security

stock-analyzer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

stock-analyzer does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

stock-analyzer releases are not available. You will need to build from source code and install.

stock-analyzer has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Compute Pearson correlation .
Load data from Quandl .
Determine the similarity of an object .
Analyze the histogram .
Return a list of the k - th elements in k
Return a list of samples sampled from n .
Normalize an array .
Convert datetime to epoch timestamp .
Return a sequence of keys .
Generate n values .

Get all kandi verified functions for this library.

stock-analyzer Key Features

No Key Features are available at this moment for stock-analyzer.

stock-analyzer Examples and Code Snippets

No Code Snippets are available at this moment for stock-analyzer.

Community Discussions

Trending Discussions on stock-analyzer

Spring Batch ScriptItemProcessor

QUESTION

Spring Batch ScriptItemProcessor

Asked 2021-Apr-06 at 21:21

I want to use a web scraping python script in my batch program but I cannot find any examples in the web for this. Hence, it's possible to use python scripts with the ScriptItemProcessor?

Here's my simple code to test this:

...

ANSWER

Answered 2021-Mar-29 at 07:21

The ScriptItemProcessor delegates item processing to a org.springframework.scripting.ScriptEvaluator. As of v5.3, Spring Framework provides three implementations of the ScriptEvaluator interface: BshScriptEvaluator, GroovyScriptEvaluator and StandardScriptEvaluator.

By default, if you don't specify which ScriptEvaluator to use, the ScriptItemProcessor will use a StandardScriptEvaluator, see Javadoc of setScriptEvaluator. Now this StandardScriptEvaluator is based on JSR-223 javax.script, so you need to make sure the language you want to use is supported by the default ScriptEngine. In your case, python is not a supported language by default, and hence the error.

If you want to use python through JSR-223, you can use Jython (adding the jar of Jython to the classpath should be enough, see Calling Python from Java through scripting engine (jython)?)

Source https://stackoverflow.com/questions/66818971

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

Vulnerabilities

No vulnerabilities reported

Install stock-analyzer

You can download it from GitHub.
You can use stock-analyzer like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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