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Hands-On Web Scraping with Python

You're reading from   Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others

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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781789533392
Length 350 pages
Edition 1st Edition
Languages
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Author (1):
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Anish Chapagain Anish Chapagain
Author Profile Icon Anish Chapagain
Anish Chapagain
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Web Scraping
2. Web Scraping Fundamentals FREE CHAPTER 3. Section 2: Beginning Web Scraping
4. Python and the Web – Using urllib and Requests 5. Using LXML, XPath, and CSS Selectors 6. Scraping Using pyquery – a Python Library 7. Web Scraping Using Scrapy and Beautiful Soup 8. Section 3: Advanced Concepts
9. Working with Secure Web 10. Data Extraction Using Web-Based APIs 11. Using Selenium to Scrape the Web 12. Using Regex to Extract Data 13. Section 4: Conclusion
14. Next Steps 15. Other Books You May Enjoy

Analysis and visualization using pandas and matplotlib

In this section, we will be exploring a few basic concepts with regard to analyzing data using pandas and plotting general charts using matplotlib.

pandas is one of the most popular data analysis libraries in recent times. Data analysis and visualization are major tasks and can be performed with the help of pandas and other libraries such as matplotlib.

For more details and documentation on pandas and matplotlib, please visit their official sites at https://pandas.pydata.org/ and https://matplotlib.org/.

pandas is also termed and used as a raw spreadsheet. It supports mathematical, statistical and query-type statements, and allows you to read from and write to various files. It is also popular among developers and analysts since it has easy functions and properties available that can help you handle data that's in a...

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