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Python Data Analysis

Python Data Analysis

By : Ivan Idris
3.9 (16)
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Python Data Analysis

Python Data Analysis

3.9 (16)
By: Ivan Idris

Overview of this book

This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.
Table of Contents (22 chapters)
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Python Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Key Concepts
Online Resources
Index

Chapter 11. Environments Outside the Python Ecosystem and Cloud Computing

Outside the Python ecosystem, programming languages such as R, C, Java, and Fortran are fairly popular. In this chapter, we will delve into the particulars of exchanging information with these environments.

Cloud computing aims to deliver computing power as a utility over the Internet. This means that we don't need to have a lot of powerful hardware locally. Instead, we pay as we go—depending on our current needs. We will also talk about how to get our Python code in the Cloud. This is a rapidly evolving industry in a fast-paced world. We have many options available, of which we will cover Google App Engine and PythonAnywhere. Amazon Web Services (AWS) is deliberately not discussed in this book, since other books such as Building Machine Learning Systems with Python, Willi Richert and Luis Pedro Coelho, Packt Publishing, mentioned in the Preface, cover the topic in great detail. We should also be aware of the Data...

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