Getting Started with Python Data Analysis

With this book you can get started with Python data analysis in a practical and example-driven way.The book starts by introducing the principles of data analysis and supported Python libraries, along with the basics of NumPy for numerical data processing. Next, it provides an overview of Pandas, a powerful library to solve data processing problems.Moving on, the book takes you through a brief overview of the Matplotlib API and some common plotting functions for visualization. Next, it will teach you how to manipulate time series data and how to persist data structures to files or databases. It also shows how you can reshape data to be able to ask interesting questions about it.Finally, the book gives a brief introduction to scikit-learn, a popular machine learning library; how do you represent data, what are supervised and unsupervised algorithm, and how can we measure prediction performance, all such questions are answered through examples.

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