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Hands-On Web Scraping with Python - Second Edition

You're reading from Hands-On Web Scraping with Python - Second Edition

Product type Book

Published in Oct 2023

Publisher Packt

ISBN-13 9781837636211

Pages 324 pages

Edition 2nd Edition

Languages

Concepts

Web Programming

Author (1):

Anish Chapagain

Table of Contents (20) Chapters

Preface

1. Part 1:Python and Web Scraping

2. Chapter 1: Web Scraping Fundamentals

3. Chapter 2: Python Programming for Data and Web

4. Part 2:Beginning Web Scraping

5. Chapter 3: Searching and Processing Web Documents

6. Chapter 4: Scraping Using PyQuery, a jQuery-Like Library for Python

7. Chapter 5: Scraping the Web with Scrapy and Beautiful Soup

8. Part 3:Advanced Scraping Concepts

9. Chapter 6: Working with the Secure Web

10. Chapter 7: Data Extraction Using Web APIs

11. Chapter 8: Using Selenium to Scrape the Web

12. Chapter 9: Using Regular Expressions and PDFs

13. Part 4:Advanced Data-Related Concepts

14. Chapter 10: Data Mining, Analysis, and Visualization

15. Chapter 11: Machine Learning and Web Scraping

16. Part 5:Conclusion

17. Chapter 12: After Scraping – Next Steps and Data Analysis

18. Index

Why subscribe?

19. Other Books You May Enjoy

Data analysis and visualization

Python programming is popular because of its easy usage and the availability of libraries for scientific computing, text computation, data analysis, machine learning, and much more. Data analysis is a systematic process. Unknown facts, hidden patterns, summary data, and a lot of other information can be obtained using data analysis. Data analysis is also treated as a subset of data science, and it has been booming with the use of Python and its features.

In this section, we will be analyzing some datasets, exploring some of the important features of pandas, and visualizing the results using plotly.

Analyzing data generally involves a few basic steps:

Identify: Identify the source of data or the origin of data, such as a website, PDF file, or image.
Collect: Collect the identified data using scraping or other techniques. Storing data is also important here.
Clean: Preprocess and clean the collected data. Clean data is easier to process...

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Authors (1)

Anish Chapagain

Anish Chapagain is a software engineer with a passion for data science, its processes, and Python programming, which began around 2007. He has been working with web scraping and analysis-related tasks for more than 5 years, and is currently pursuing freelance projects in the web scraping domain. Anish previously worked as a trainer, web/software developer, and as a banker, where he was exposed to data and gained further insights into topics including data analysis, visualization, data mining, information processing, and knowledge discovery. He has an MSc in computer systems from Bangor University (University of Wales), United Kingdom, and an Executive MBA from Himalayan Whitehouse International College, Kathmandu, Nepal.

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