algorithms-in-python | Interactive way to learn Algorithms | Learning library

 by   harrypotter0 Python Version: Current License: No License

kandi X-RAY | algorithms-in-python Summary

kandi X-RAY | algorithms-in-python Summary

algorithms-in-python is a Python library typically used in Tutorial, Learning, Example Codes, LeetCode applications. algorithms-in-python has no bugs, it has no vulnerabilities and it has low support. However algorithms-in-python build file is not available. You can download it from GitHub.

:octocat: Interactive way to learn Algorithms . Feel free to contribute! :mortar_board:
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            kandi-support Support

              algorithms-in-python has a low active ecosystem.
              It has 22 star(s) with 37 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              algorithms-in-python has no issues reported. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of algorithms-in-python is current.

            kandi-Quality Quality

              algorithms-in-python has 0 bugs and 0 code smells.

            kandi-Security Security

              algorithms-in-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              algorithms-in-python code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              algorithms-in-python does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              algorithms-in-python releases are not available. You will need to build from source code and install.
              algorithms-in-python has no build file. You will be need to create the build yourself to build the component from source.
              algorithms-in-python saves you 62236 person hours of effort in developing the same functionality from scratch.
              It has 70709 lines of code, 13677 functions and 896 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed algorithms-in-python and discovered the below as its top functions. This is intended to give you an instant insight into algorithms-in-python implemented functionality, and help decide if they suit your requirements.
            • Solve a test case .
            • Returns the length of a snake
            • Determines if the right diagonal is valid .
            • Generate a quick length of a snake .
            • Topological sort .
            • r Check for efficient efficiency .
            • Find the shortest path between source and target .
            • Sort an array by radix .
            • Return the list of words in the given dictionary .
            • Compute the modular multiplicative multiplicative multiplicative expansion .
            Get all kandi verified functions for this library.

            algorithms-in-python Key Features

            No Key Features are available at this moment for algorithms-in-python.

            algorithms-in-python Examples and Code Snippets

            No Code Snippets are available at this moment for algorithms-in-python.

            Community Discussions

            Trending Discussions on algorithms-in-python

            QUESTION

            Lossy conversion from float64 to uint8
            Asked 2020-Mar-20 at 06:16

            ANSWER

            Answered 2019-Nov-16 at 22:46

            The warning is self explanatory: color.convert_colorspace(in_hsv_h, 'HSV', 'RGB') is of type float64, and imsave, convert elements to uint8.

            The pixels of PNG image, are stored as one byte per component (one byte for red, one for green and one for blue).
            Each component is an integer value in range [0, 255] (type uint8).

            The output of color.convert_colorspace is of float64, each color component is in range [0, 1] of type float64 (stored as 64 bits in memory, and much more accurate than uint8).

            The conversion from float64 range [0, 1] to uint8 range [0, 255] is performed like: uint8_val = round(float64_val*255).
            The rounding operation loose some data (for example: in case float64_val*255 = 132.658, the result is rounded to 133).

            Convert image to uint8 prior to saving to suppress this warning

            Tells you to convert the image elements to uint8 prior to saving.

            Solution is simple.
            Multiply by 255, and add .astype(np.uint8).

            Source https://stackoverflow.com/questions/58893860

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

            Vulnerabilities

            No vulnerabilities reported

            Install algorithms-in-python

            You can download it from GitHub.
            You can use algorithms-in-python 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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