Python for Data Science: A Hands-On Introduction

About this book

A hands-on real-world introduction to data analysis with the Python programming language loaded with wide-ranging examples. Python is an ideal choice for accessing manipulating and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. Youll learn how to write Python code to obtain transform and analyze data practicing state-of-the-art data processing techniques for use cases in business management marketing and decision support. You will discover Pythons rich set of built-in data structures for basic operations as well as its robust ecosystem of open-source libraries for data science including NumPy pandas scikit-learn matplotlib and more. Examples show how to load data in various formats how to streamline group and aggregate data sets and how to create charts maps and other visualizations. Later chapters go in-depth with demonstrations of real-world data applications including using location data to power a taxi service market basket analysis to identify items commonly purchased together and machine learning to predict stock prices.