invisibleroads-tutorials

by invisibleroads Python Version: Current License: No License

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

kandi X-RAY | invisibleroads-tutorials Summary

invisibleroads-tutorials is a Python library. invisibleroads-tutorials has no bugs, it has no vulnerabilities and it has low support. However invisibleroads-tutorials build file is not available. You can download it from GitHub.

invisibleroads-tutorials

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Quality

Security

License

Reuse

Support

invisibleroads-tutorials has a low active ecosystem.

It has 20 star(s) with 7 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

invisibleroads-tutorials has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of invisibleroads-tutorials is current.

Quality

invisibleroads-tutorials has 0 bugs and 0 code smells.

Security

invisibleroads-tutorials has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

invisibleroads-tutorials code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

invisibleroads-tutorials 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

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

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

invisibleroads-tutorials saves you 667 person hours of effort in developing the same functionality from scratch.

It has 1546 lines of code, 157 functions and 30 files.

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

Top functions reviewed by kandi - BETA

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

Extracts the center of a geo window
Check if a rectangle is inside a window
Compute the center of a pixel
Creates a Window containing the specified coordinates
Merge multiple shapefiles into one
Loads a zip file into a temporary folder
Generates a transformation function to transform a geometry
Creates a CoordinateTransformation object from source PROJ
Saves a matrix to a matlab format
Return a list of packed values
Get list of matrices
Convert pixel coordinates to geo coordinates
Convert pixel location to geom
Convert a geo frame to pixel coordinates
Convert geodetic coordinates to pixel coordinates
Get images from matlab
Generate images from matrices
Generator that yields the cutoffs of each sample
Split a sequence by fraction
Restores the result from the image
Unpickles data from pickle
Prints the progress of the generator
Returns a dictionary of statistics
Get matrix images
Create labels from a flush dataset
Generate samples from a flush dataset

Get all kandi verified functions for this library.

invisibleroads-tutorials Key Features

No Key Features are available at this moment for invisibleroads-tutorials.

invisibleroads-tutorials Examples and Code Snippets

No Code Snippets are available at this moment for invisibleroads-tutorials.

Community Discussions

No Community Discussions are available at this moment for invisibleroads-tutorials.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install invisibleroads-tutorials

You can download it from GitHub.
You can use invisibleroads-tutorials 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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