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Python Data Analysis - Third Edition

You're reading from Python Data Analysis - Third Edition

Product type Book

Published in Feb 2021

Publisher Packt

ISBN-13 9781789955248

Pages 478 pages

Edition 3rd Edition

Languages

Concepts

Machine Learning

Authors (2):

Avinash Navlani

Ivan Idris

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: Foundation for Data Analysis

2. Getting Started with Python Libraries

3. NumPy and pandas

4. Statistics

5. Linear Algebra

6. Section 2: Exploratory Data Analysis and Data Cleaning

7. Data Visualization

8. Retrieving, Processing, and Storing Data

9. Cleaning Messy Data

10. Signal Processing and Time Series

11. Section 3: Deep Dive into Machine Learning

12. Supervised Learning - Regression Analysis

13. Supervised Learning - Classification Techniques

14. Unsupervised Learning - PCA and Clustering

15. Section 4: NLP, Image Analytics, and Parallel Computing

16. Analyzing Textual Data

17. Analyzing Image Data

18. Parallel Computing Using Dask

19. Other Books You May Enjoy

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Software used in this book

Let's discuss the software that will be used in this book. In this book, we are going to use Anaconda IDE to analyze data. Before installing it, let's understand what Anaconda is.

A Python program can easily run on any system that has it installed. We can write a program on a Notepad and run it on the command prompt. We can also write and run Python programs on different IDEs, such as Jupyter Notebook, Spyder, and PyCharm. Anaconda is a freely available open source package containing various data manipulation IDEs and several packages such as NumPy, SciPy, Pandas, Scikit-learn, and so on for data analysis purposes. Anaconda can easily be downloaded and installed, as follows:

Download the installer from https://www.anaconda.com/distribution/.
Select the operating system that you are using.
From the Python 3.7 section, select the 32-bit or 64-bit installer option and start downloading.
Run the installer by double-clicking on it.
Once the installation is complete, check your program in the Start menu or search for Anaconda in the Start menu.

Anaconda also has an Anaconda Navigator, which is a desktop GUI application that can be used to launch applications such as Jupyter Notebook, Spyder, Rstudio, Visual Studio Code, and JupyterLab:

Now, let's look at IPython, a shell-based computing environment for data analysis.

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Authors (2)

Avinash Navlani

Avinash Navlani has over 8 years of experience working in data science and AI. Currently, he is working as a senior data scientist, improving products and services for customers by using advanced analytics, deploying big data analytical tools, creating and maintaining models, and onboarding compelling new datasets. Previously, he was a university lecturer, where he trained and educated people in data science subjects such as Python for analytics, data mining, machine learning, database management, and NoSQL. Avinash has been involved in research activities in data science and has been a keynote speaker at many conferences in India.

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Ivan 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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