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p5-Devel-IPerl

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开发语言 Python
所属分类 神经网络/人工智能
软件类型 开源软件
地区 不详
投 递 者 孔甫
操作系统 跨平台
开源组织
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 软件概览

Devel-IPerl

Coverage Status

Installation

Dependencies

Devel::IPerl depends upon the ZeroMQ library (ZMQ) and Project Jupyter in order to work.

ZeroMQ

Debian

On Debian-based systems, you can install ZeroMQ using apt.

sudo apt install libzmq3-dev 
macOS

If you use Homebrew on macOS, you can install ZeroMQ by using

brew install zmq

You may also need to install cpanm this way by using

brew install cpanm

Then you will need to install ZMQ::LibZMQ3 by running:

export ARCHFLAGS='-arch x86_64';
cpanm --build-args 'OTHERLDFLAGS=' ZMQ::LibZMQ3;
Installing ZeroMQ without a package manager

Some systems may not have a package manager (e.g,. Windows) or you may want toavoid using the package manager.

Make sure you have Perl, a C/C++ compiler, lwp-request (or another HTTPdownloading tool that outputs the contents of an HTTP request to STDOUT such aswget -O - or curl), and cpanm on your system.

Then run this following command (read the source first!):

# use `cpanm LWP` to install `lwp-request`
lwp-request https://raw.githubusercontent.com/zmughal-CPAN/p5-Alt-Alien-ZMQ-Alien-ZMQ-latest/master/maint/install-zmq-libzmq.pl | perl - --notest Alt::Alien::ZMQ::Alien::ZMQ::latest ZMQ::LibZMQ3 Net::Async::ZMQ

What this does is install CPAN modules for

Installing these modules can be tricky, so this script handles it for you.

It has been tested on GNU/Linux, macOS, and Windows (Strawberry Perl 5.26.1.1).

Note: There are currently issues with installing on Windows using ActivePerland older versions of Strawberry Perl. These are mostly due to having an oldertoolchain which causes builds of the native libraries to fail.

Jupyter

See the Jupyter install page to see how toinstall Jupyter.

On Debian, you can install using apt:

sudo apt install jupyter-console jupyter-notebook

If you know how to use pip, this may be as easy as

pip install -U jupyter
# or use pip3 (for Python 3) instead of pip

Make sure Jupyter is in the path by running

jupyter --version

Install from CPAN

cpanm Devel::IPerl

If you have a problem with failing tests for Markdown::Pod,you can install an older version using

cpanm Markdent@0.26 Markdown::Pod@0.006

Running

iperl console  # start the console

iperl notebook # start the notebook

See the wiki for moreinformation and example notebooks!

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