I have recently been strongly attracted by Jupyter Notebook, an interactive notebook. Then after trying out its own Python kernel, I felt very good about this application as a whole, so I searched for other kernels it supports, including Jupyter Kernels.
I will introduce below how to install the PHP kernel under this application.
Installation steps
Install PHP kernel Jupyter-PHP
Environment requirements
1.PHP > ;= 7.0
2.Jupyter Notebook has been installed
3.Operation on Mac
Steps
1.Install Composer globally
$ curl -sS https://getcomposer.org/installer | php $ mv composer.phar /usr/local/bin/composer
2. Install the PHP-ZMQ extension
(1) Download and compile
$ git clone git://github.com/mkoppanen/php-zmq.git $ cd php-zmq $ phpize && ./configure $ make && make install
(2) Modify the configuration
Modify the php.ini configuration and add `extension=/path/modules/zmq.so`
3. Downloadjupyter-php-installer.phar
4.Execute phar installation program
$ php jupyter-php-installer.phar install
5. The installation is successful, and the Jupyter-PHP kernel has been successfully installed.
Problems encountered and solved
Problem 1:
Compile PHP-ZMQ without autoconf and pkg-config
Solution:
$ brew install autoconf $ brew install pkg-config
Problem 2:
No php.ini on Mac
Solution:
$ sudo cp /etc/php.ini.default /etc/php.ini
Question 3:
The compiled extension zmq.so cannot be moved to the PHP default extension path /usr/lib/php/extensions/no-debug-non- zts-20160303/
Solution:
Because macOS System Integrity Protection (SIP) will prevent you from moving zmq.so to the default path, and I don’t want to turn off SIP. So the solution is to introduce extensions to write absolute paths
extension=/path/modules/zmq.so
Problem 4:
Use PHP kernel and print to print double output
Solution:
In fact, it is caused by the indistinguishable output between the printed value and the return value, and the author has not solved it yet. View issues
For more PHP related knowledge, please visit PHP Tutorial!
The above is the detailed content of Install PHP kernel under Jupyter Notebook. For more information, please follow other related articles on the PHP Chinese website!

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