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Python Data Analysis, Second Edition

You're reading from Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787127487

Length 330 pages

Edition 2nd Edition

Languages

Python

Tools

Scikit-learn

Concepts

Data Analysis

Author (1):

Ivan Idris

View More author details

Table of Contents (16) Chapters

Preface

1. Getting Started with Python Libraries

2. NumPy Arrays FREE CHAPTER

3. The Pandas Primer

4. Statistics and Linear Algebra

5. Retrieving, Processing, and Storing Data

6. Data Visualization

7. Signal Processing and Time Series

8. Working with Databases

9. Analyzing Textual Data and Social Media

10. Predictive Analytics and Machine Learning

11. Environments Outside the Python Ecosystem and Cloud Computing

12. Performance Tuning, Profiling, and Concurrency

A. Key Concepts

B. Useful Functions

C. Online Resources

PythonAnywhere Cloud

PythonAnywhere is a Cloud service for Python development. The interface is completely web-based and simulates the Bash, Python, and IPython consoles. The preinstalled Python libraries in the PythonAnywhere environment are listed at https://www.pythonanywhere.com/batteries_included/.

The software version may lag a little behind the latest stable versions available. At the time of writing, installing Python software from the PythonAnywhere Bash console appears a bit problematic and is not recommended.

When you first visit the URL https://www.pythonanywhere.com/login/, you will see the following screen to log into the PythonAnywhere environment:

PythonAnywhere Cloud

After you submit your login name and password, you will see the following web application screen:

PythonAnywhere Cloud

It is recommended that you upload Python source files instead of using the PythonAnywhere environment, as it is less responsive than our local environment. Upload the files by clicking on the Files tab in the web application. Upload...

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Authors (1)

Idris

Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.

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