Python programming is usually done with user-defined virtual environments which are constructed with some specific version of Python or Tensorflow. Instead, I use Google Colab when GPU Tensorflow is necessary. This post only deal with CPU version since my laptop does not have GPU and I can’t test it. Tensorflow is of two kinds : CPU and GPU version. Next we modify the default directory for Jupyter Notebook for our working directory. Without Anaconda, we need to install Python and lots of package manually.Īfter installing Anaconda, Tensorflow is installed since Anaconda does not contain Tensorflow. sklearn, pandas and so on) are installed automatically. It is common to use Anaconda for installing Python since a variety of packages (i.e. This post explains the an installation of Python, Tensorflow and configuration of Jupyter notebook as a kickstart towards ML/DL modeling. The state returned by NotebookEditor.getState is an Immutable.js object.For a machine or deep learning modeling, Python is widely used with Tensorflow. Updating: -> Dispatcher.dispatch -> NotebookEditor.onAction ?-> NotebookEditor._onChange -> NotebookEditorView._onChange Immutable state Rendering: NotebookEditor -> NotebookEditorView -> notebook-editor-view updates its state by fetching it from notebook-editor, then passes appropriate bits of that state down to the other views as props. notebook-editor-view, notebook-cell, text-editor, display-area are the views.It loads the file in, creates a state, then receives Actions and updates the state accordingly. notebook-editor is the Store and handles all of the business logic.dispatcher is a singleton flux.Dispatcher which contains the list of valid actions.main tells Atom how to render NotebookEditor and registers as an Opener for.
This package is built on React and the Flux architecture.
Python 3: brew install python3 (there are issues with pip2 and OS X 10.11).A package that works like the Jupyter Notebook, but inside Atom.
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