Can I read Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programming language on EtoBox?

Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programming language by Fabio Nelli (auth.) is a nonfiction available to read on EtoBox.

What is Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programming language about?

Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. This book examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language.You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics. Th

Who reads Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programming language?

Author

Fabio Nelli (auth.)

Publisher

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG;Apress

Published

2015

Language

EN

ISBN

9781484209585

Category

nonfiction

Subjects

Language Learning, Computer Science, Business

Rating

3.7 / 5 (7 ratings)

Updated

2026-03-14