peanalysis | Python script to parse PE header information | Dataset library

by zeroq Python Version: Current License: GPL-2.0

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

kandi X-RAY | peanalysis Summary

peanalysis is a Python library typically used in Artificial Intelligence, Dataset applications. peanalysis has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However peanalysis build file is not available. You can download it from GitHub.

Python script to parse PE header and resource information.

Support

Quality

Security

License

Reuse

Support

peanalysis has a low active ecosystem.

It has 15 star(s) with 9 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of peanalysis is current.

Quality

peanalysis has 0 bugs and 0 code smells.

Security

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

peanalysis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

peanalysis is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

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

peanalysis saves you 364 person hours of effort in developing the same functionality from scratch.

It has 869 lines of code, 22 functions and 2 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Show the PE file
Get all import symbols
Print the PE header
Print the PE header
Print section header
Prints the MS DOS header
Prints the imported DLLs
Print a string table
Constructs a child string from an entry
Analyze the variable file info
Gets the exported functions
Return imported functions
Read export symbols
Prints the PE resource information
Read PEOPT header
Fills fields from PEOpts
Reads the section header
Recursively recursively read the resource directory

Get all kandi verified functions for this library.

peanalysis Key Features

No Key Features are available at this moment for peanalysis.

peanalysis Examples and Code Snippets

No Code Snippets are available at this moment for peanalysis.

Community Discussions

Trending Discussions on peanalysis

Why doesn't this logging setup work?

QUESTION

Why doesn't this logging setup work?

Asked 2017-Apr-26 at 09:19

I have the following code in my __init__.py which sets up my logger for my python package:

...

ANSWER

Answered 2017-Apr-26 at 09:19

It appears that because I was using the logging system 'intra' package, i.e. I was logging things whilst developing a package, the __init__.py file wasn't being called automatically like it would do if I was using the package from import. Therefore the logging setup code wasn't being used and no logging. The solution isn't very elegant but its to manually run the __init__.py file for each python session.

Source https://stackoverflow.com/questions/43619093

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

Vulnerabilities

No vulnerabilities reported

Install peanalysis

You can download it from GitHub.
You can use peanalysis 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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