PythonCExtensions | Comparing the performance of Python , NumPy and C | Machine Learning library

by mattfowler Python Version: Current License: No License

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kandi X-RAY | PythonCExtensions Summary

PythonCExtensions is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy, Pandas applications. PythonCExtensions has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Using a Python C extension and comparing its performance to NumPy and Python. Companion to Speeding Up Python and Numpy.

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PythonCExtensions has a low active ecosystem.

It has 38 star(s) with 18 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

PythonCExtensions 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 PythonCExtensions is current.

Quality

PythonCExtensions has 0 bugs and 0 code smells.

Security

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

PythonCExtensions code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PythonCExtensions 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.

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PythonCExtensions 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.

PythonCExtensions saves you 27 person hours of effort in developing the same functionality from scratch.

It has 75 lines of code, 2 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Return the standard deviation of a list
Compute the mean of a list

Get all kandi verified functions for this library.

PythonCExtensions Key Features

No Key Features are available at this moment for PythonCExtensions.

PythonCExtensions Examples and Code Snippets

No Code Snippets are available at this moment for PythonCExtensions.

Community Discussions

Trending Discussions on PythonCExtensions

Python CExtension gives ModuleNotFoundError

QUESTION

Python CExtension gives ModuleNotFoundError

Asked 2019-Nov-08 at 15:46

I am using Python 3 with Anaconda Spyder on CentOS 7. I am trying to get the Python CExtension working by following this video. https://www.youtube.com/watch?v=a65JdvOaygM

I have all of my files in /home/peter/pythonCExtensions which is in the PYTHONPATH

I have a file myModule.c that has the following contents.

...

ANSWER

Answered 2019-Nov-08 at 15:46

Listing [Python 3.Docs]: Building C and C++ Extensions.

At its core, this is a typo (upper vs. lower case), combined with the fact that on Nix, file names are case sensitive (most likely, it couldn't be reproduced on Win).

So, your module is called myModule (function PyInit_myModule), but it resides in a file called MyModule.cpython-37m-x86_64-linux-gnu.so, which is not OK because the 2 names must match.
Correct that by specifying the proper extension name in setup.py:

Source https://stackoverflow.com/questions/58769390

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

Vulnerabilities

No vulnerabilities reported

Install PythonCExtensions

You can download it from GitHub.
You can use PythonCExtensions 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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