nba_py | Python client for NBA statistics located at stats.nba.com | Analytics library

 by   seemethere Python Version: 0.1.1a2 License: BSD-3-Clause

kandi X-RAY | nba_py Summary

kandi X-RAY | nba_py Summary

nba_py is a Python library typically used in Analytics applications. nba_py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install nba_py' or download it from GitHub, PyPI.

A python facing API for stats.nba.com (Still in heavy development). Originally based off
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              nba_py has a medium active ecosystem.
              It has 1031 star(s) with 270 fork(s). There are 80 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 42 open issues and 54 have been closed. On average issues are closed in 73 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nba_py is 0.1.1a2

            kandi-Quality Quality

              nba_py has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              nba_py is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              nba_py releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              nba_py saves you 960 person hours of effort in developing the same functionality from scratch.
              It has 2187 lines of code, 250 functions and 18 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            nba_py Key Features

            No Key Features are available at this moment for nba_py.

            nba_py Examples and Code Snippets

            Notes
            Rdot img1Lines of Code : 12dot img1License : Permissive (MIT)
            copy iconCopy
            get_players(league='d-league',
                        config=config(ipresolve=1))
            
            > sessionInfo()
            R version 3.2.3 (2015-12-10)
            Platform: x86_64-pc-linux-gnu (64-bit)
            Running under: Ubuntu 14.04.4 LTS
            
            other attached packages:
            [1] statsnbaR_0.1 httr_1.1.0
            
            l  

            Community Discussions

            Trending Discussions on nba_py

            QUESTION

            Why I can't import team from nba_py
            Asked 2017-Aug-17 at 06:29

            I just wanna run a very simple python script by using nba_py. I already install the nba_py package. But it's not work.My Python Script

            The console always shows ImpoetErrorDebug Console

            ...

            ANSWER

            Answered 2017-Aug-17 at 06:29

            May be you have to rename your file name from nba_py to others, like test_for_nba_py ? It's up to you :).

            Because your file name is nba_py, then when you

            Source https://stackoverflow.com/questions/45727777

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

            Vulnerabilities

            No vulnerabilities reported

            Install nba_py

            NOTE: Developmental builds, are by no means stable If you want the stable version use:.
            Download from source (git clone, zipped package)
            Run from the root directory:

            Support

            All around documentation not only of nba_py but also stats.nba.com (it's pretty nonexistent)
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            Install
          • PyPI

            pip install nba_py

          • CLONE
          • HTTPS

            https://github.com/seemethere/nba_py.git

          • CLI

            gh repo clone seemethere/nba_py

          • sshUrl

            git@github.com:seemethere/nba_py.git

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