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Getting Started with Python Data Analysis

You're reading from Getting Started with Python Data Analysis Learn to use powerful Python libraries for effective data processing and analysis

Product type Paperback

Published in Nov 2015

Publisher

ISBN-13 9781785285110

Length 188 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Table of Contents (10) Chapters

Preface

1. Introducing Data Analysis and Libraries FREE CHAPTER

2. NumPy Arrays and Vectorized Computation

3. Data Analysis with Pandas

4. Data Visualization

5. Time Series

6. Interacting with Databases

7. Data Analysis Application Examples

8. Machine Learning Models with scikit-learn

Index

Chapter 3. Data Analysis with Pandas

In this chapter, we will explore another data analysis library called Pandas. The goal of this chapter is to give you some basic knowledge and concrete examples for getting started with Pandas.

The rest of the chapter is locked

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