ReagentX / markov_python

Codecademy Final Project supplementary code patched for Python 3.6.x

markov_python

Codecademy Final Project supplementary code patched for Python 3.6.x

Description

Codecademy Markov Chain text generator module. This is an implementation of a Markov Chain that generates random text based on content provided by the user. It is designed to be used as a local Python module for instructional purposes.

How to add this to your project

1. Clone this repository into your Python project folder. Alternatively, you can download the zip archive and extract it into a directory in your project folder called markov_python.
2. You will need to import this file based on it's relative path. If your main runnable Python script is in the same directory as the markov_python directory, you can import this by including the following at the top of the runnable script: from markov_python.cc_markov import MarkovChain

How to use the Markov Chain text generator

1. After importing this module into your main project script, create an instance of MarkovChain and assign it to a variable. For example mc = MarkovChain()
2. Use one of the methods mc.add_string() or mc.add_file() to read a local text file or a string. You can call this method multiple times to add additional data.
3. Call the generate_text() function on the instance of MarkovChain you created to generate text from the Markov Chain. You can call this method multiple times to generate additional data. This function will output a list of words. If your project requires a different format, you should convert the output accordingly.

License

This code is released under the terms of the GPL v3 License.