Since v8.1 (May 2018), Vim has shipped with a built-in terminal. See https://vimhelp.org/terminal.txt.html or type :help terminal for more info.
Why use this? Mainly because it saves you jumping to a separate terminal window. You can also use Vim commands to manipulate a shell session and easily transfer clipboard content between the terminal and files you're working on.
Python is the primary language in which TensorFlow models are typically developed and trained. TensorFlow does have bindings for other programming languages. These bindings have the low-level primitives that are required to build a more complete API, however, lack much of the higher-level API richness of the Python bindings, particularly for defining the model structure.
This gist demonstrates taking a model (a TensorFlow graph) created by a Python program and running the training loop in a C program.
| #!/usr/bin/env python | |
| # select a colour with wxPython's | |
| # wx.ColourDialog(parent, data) | |
| # source: Dietrich 20nov2008 | |
| # Description: Python color wheel. | |
| import wx | |
| class MyPanel(wx.Panel): | |
| def __init__(self, parent): | |
| wx.Panel.__init__(self, parent, wx.ID_ANY) |
