Learn how to use Python and its structures how to install Python and which tools are best
suited for data analyst work. This book provides you with a handy reference and tutorial on
topics ranging from basic Python concepts through to data mining manipulating and importing
datasets and data analysis.Python for Data Mining Quick Syntax Reference covers each concept
concisely with many illustrative examples. You'll be introduced to several data mining
packages with examples of how to use each of them. The first part covers core Python including
objects lists functions modules and error handling. The second part covers Python's most
important data mining packages: NumPy and SciPy for mathematical functions and random data
generation pandas for dataframe management and data import Matplotlib for drawing charts and
scikitlearn for machine learning. What You'll Learn Install Python and choose a development
environment Understand the basic concepts of object-oriented programming Import open and edit
files Review the differences between Python 2.x and 3.x Who This Book Is For Programmers new to
Python's data mining packages or with experience in other languages who want a quick guide to
Pythonic tools and techniques.
