ipython-parallel | 易学教程

Are IPython engines independent processes?

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问题 From the IPython Architecture Overview documentation we know that ... The IPython engine is a Python instance that takes Python commands over a network connection. Given that it is a Python instance does that imply that these engines are stand alone processes? I can manually load a set of engines via a command like ipcluster start -n 4 . Doing thus is the creation of engines considered the creation of child processes of some parent process or just a means to kick off a set of independent

IPython.parallel not using multicore?

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I am experimenting with IPython.parallel and just want to launch several shell command on different engines. I have the following Notebook: Cell 0: from IPython.parallel import Client client = Client() print len(client) 5 And launch the commands: Cell 1: %%px --targets 0 --noblock !python server.py Cell 2: %%px --targets 1 --noblock !python mincemeat.py 127.0.0.1 Cell 3: %%px --targets 2 --noblock !python mincemeat.py 127.0.0.1 What it does is it uses the mincemeat implementation of MapReduce. When I launch the first !python mincemeat.py 127.0.0.1 it uses roughly 100 % of one core, then when I

How do I add a kernel on a remote machine in IPython (Jupyter) Notebook?

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Dropdown menu in the top-right of the UI on a local machine (PC): Kernel-> Change kernel-> Python 2 (on a local PC) Python 3 (on a local PC) My new kernel (on a remote PC) IPython use kernel is a file in ~/.ipython/kernel/<name> that describe how to launch a kernel. If you create your own kernel (remote, or whatever) it's up to you to have the program run the remote kernel and bind locally to the port the notebook is expected. The IPython notebook talks to the kernels over predefined ports. To talk to a remote kernel, you just need to forward the ports to the remote machine as part of the

IPython.parallel not using multicore?

阅读更多关于 IPython.parallel not using multicore?

问题 I am experimenting with IPython.parallel and just want to launch several shell command on different engines. I have the following Notebook: Cell 0: from IPython.parallel import Client client = Client() print len(client) 5 And launch the commands: Cell 1: %%px --targets 0 --noblock !python server.py Cell 2: %%px --targets 1 --noblock !python mincemeat.py 127.0.0.1 Cell 3: %%px --targets 2 --noblock !python mincemeat.py 127.0.0.1 What it does is it uses the mincemeat implementation of MapReduce

How do I add a kernel on a remote machine in IPython (Jupyter) Notebook?

阅读更多关于 How do I add a kernel on a remote machine in IPython (Jupyter) Notebook?

问题 Dropdown menu in the top-right of the UI on a local machine (PC): Kernel-> Change kernel-> Python 2 (on a local PC) Python 3 (on a local PC) My new kernel (on a remote PC) 回答1: IPython use kernel is a file in ~/.ipython/kernel/<name> that describe how to launch a kernel. If you create your own kernel (remote, or whatever) it's up to you to have the program run the remote kernel and bind locally to the port the notebook is expected. 回答2: The IPython notebook talks to the kernels over