Python for Data Mining Quick Syntax Reference

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Book description

​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.

• 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

Programmers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.

Table of contents

1. Cover
2. Front Matter
3. 1. Getting Started
4. 2. Introductory Notes
5. 3. Basic Objects and Structures
6. 4. Functions
7. 5. Conditional Instructions and Writing Functions
8. 6. Other Basic Concepts
9. 7. Importing Files
10. 8. pandas
11. 9. SciPy and NumPy
12. 10. Matplotlib
13. 11. Scikit-learn
14. Back Matter

Product information

• Title: Python for Data Mining Quick Syntax Reference
• Author(s): Valentina Porcu
• Release date: December 2018
• Publisher(s): Apress
• ISBN: 9781484241134

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