pyjc package

Module contents

pyjc

Provides
  1. A reference Python Package / Module Implementation for education purpose, inspired by Numpy.
  2. 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)