pyjc package¶
Subpackages¶
Module contents¶
pyjc¶
- Provides
- A reference Python Package / Module Implementation for education purpose, inspired by Numpy.
- Utilities for Deep Learning Projects
How to use the documentation¶
Documentation is available in two forms: docstrings provided with the code, and a loose standing reference guide on ReadTheDoc.org (URL pending)
We recommend exploring the docstrings using Jupyter Console, an advanced Python shell with TAB-completion and introspection capabilities. See below for further instructions.
- The docstring examples assume that pyjc has been imported as pyjc::
>>> import pyjc
- Code snippets are indicated by three greater-than signs::
>>> x = 42 >>> x = x + 1
- Use the built-in
help
function to view a function’s docstring:: >>> help(pyjc.cal.add) ... # Help on function add in module pyjc.cal.add: ... # add(a, b) ... # Add two numbers and return the result.
To call the function pyjc.cal.add.add(), simply do a pyjc.cal.add() (i.e. skip the module name)