drest | Configurable HTTP/REST Client Library for Python | REST library

 by   datafolklabs Python Version: Current License: Non-SPDX

kandi X-RAY | drest Summary

kandi X-RAY | drest Summary

drest is a Python library typically used in Web Services, REST applications. drest has no bugs, it has no vulnerabilities, it has build file available and it has low support. However drest has a Non-SPDX License. You can download it from GitHub.

dRest is a configurable HTTP/REST client library for Python. It’s goal is to make the creation of API clients dead simple, without lacking features.
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            kandi-support Support

              drest has a low active ecosystem.
              It has 73 star(s) with 18 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 9 open issues and 19 have been closed. On average issues are closed in 191 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of drest is current.

            kandi-Quality Quality

              drest has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              drest has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              drest 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 not available. Examples and code snippets are available.
              drest saves you 561 person hours of effort in developing the same functionality from scratch.
              It has 1311 lines of code, 147 functions and 30 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed drest and discovered the below as its top functions. This is intended to give you an instant insight into drest implemented functionality, and help decide if they suit your requirements.
            • Make a request
            • Make a HTTP request
            • Called when a response is received
            • Returns the Http instance
            • Construct the full url
            • Deserialize data
            • Serialize data
            • Clear the http
            • Set up the request handler
            • Validate object members
            • Find all resources
            • Add a resource to this resource
            • Set authentication credentials
            Get all kandi verified functions for this library.

            drest Key Features

            No Key Features are available at this moment for drest.

            drest Examples and Code Snippets

            No Code Snippets are available at this moment for drest.

            Community Discussions

            QUESTION

            Dynamically allocated multidimensional array using recursive templates
            Asked 2018-Oct-25 at 19:41

            In order to read and store some results from a MATLAB program, I need to use up to 6 dimensional matrices. Instead of doing something like:

            ...

            ANSWER

            Answered 2018-Oct-25 at 19:41
            template
            struct MatrixView {
              MatrixView operator[](std::size_t i) {
                return {ptr + i* *strides, strides+1};
              }
              MatrixView( T* p, std::size_t const* stride ):ptr(p), strides(stride) {}
            private:
              T* ptr = 0;
              std::size_t const* strides = 0;
            };
            template
            struct MatrixView {
              T& operator[](std::size_t i) {
                return ptr[i];
              }
              MatrixView( T* p, std::size_t const* stride ):ptr(p) {}
            private:
              T* ptr = 0;
            };
            template
            struct Matrix {
              Matrix( std::array sizes ) {
                std::size_t accumulated = 1;
                for (std::size_t i = 1; i < sizes.size(); ++i) {
                  accumulated *= sizes[N-i];
                  strides[N-i] = accumulated;
                }
                storage.resize( strides[0] * sizes[0] );
              }
              MatrixView get() { return {storage.data(), strides.data()}; }
              MatrixView get() const { return {storage.data(), strides.data()}; }
            private:
              std::vector storage;
              std::array strides;
            };
            

            Source https://stackoverflow.com/questions/52996486

            QUESTION

            real time data acquisition/processing using Python
            Asked 2017-Jun-01 at 20:52

            I am attempting to write a code that will acquire information from a buffer (returned as a multi-dimentional array), extract certain elements from said array.

            So here's what I have:

            ...

            ANSWER

            Answered 2017-Jun-01 at 20:32

            Question 1: As the data comes in, I would like to add a "0" as a first element of each array, so I essentially have a first column full of zeros. I have attempted this, but it doesn't add it to every one of, just the very first element, not the first in each element of each array.

            Source https://stackoverflow.com/questions/44316077

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

            Vulnerabilities

            No vulnerabilities reported

            Install drest

            You can download it from GitHub.
            You can use drest 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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/datafolklabs/drest.git

          • CLI

            gh repo clone datafolklabs/drest

          • sshUrl

            git@github.com:datafolklabs/drest.git

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