title: Data Analytics and Python Programming. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Python Programming (Hacking Freedom and Data Driven)
author:  Isaac D. Cody 
description: Isaac D. Cody is a proud, savvy, and ethical hacker from New York City. After receiving a Bachelors of Science at Syracuse University, Isaac now works for a mid-size Informational Technology Firm in the heart of NYC. He aspires to work for the United States government as a security hacker, but also loves teaching others about the future of technology. Isaac firmly believes that the future will heavily rely computer "geeks" for both security and the successes of companies and future jobs alike. In his spare time, he loves to analyze and scrutinize everything about the game of basketball.
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  Using Python to Develop Analytics,
  Control and Machine Learning Products
   
  Zhaoyang Wan
  
   
   
   
   
   
   
   
   
  Dedicated to my wife, who devotes herself to our family; to my kids Charley
  and Richard, who make me a kid at heart; to my parents, who constantly use
  their time-tested wisdom to lighten my path ahead.
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
  
   
  
  Contents
  Why to write this book
  Basics
  The Law of Effect
  The Principle of Least Action
  Python - The Category Theory
  Additional Lessons learnt
  An Example of Simple Analytics Product
  Installation of Python
  Core Python: Set Operations
  Core Python: Iteration Functions
  Core Python: Lambda function
  Core Python: Dictionary Data Structure and Operations
  A Simple Analytics Product
  The Architecture
  Web/File Exchange/Ipython Notebook Servers
  Web User Interface
  Data Collection
  Database and Asset Model
  Turning Data into Information
  Analytics
  Single Variable
  Multi-Variables
  Report /Email/Survey
  Simulation and Python Class
  Deployment to Cloud
  Collaboration