Data-driven SEO with Python : solve SEO challenges with data science using Python
(eBook)
Author
Contributors
Critchlow, Will, writer of foreword.
Published
New York, NY : Apress, [2023].
Format
eBook
Edition
[First edition].
ISBN
1484291751, 9781484291757
Physical Desc
1 online resource (xxvi, 580 pages) : illustrations (some color)
Status
Description
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More Details
Language
English
UPC
10.1007/978-1-4842-9175-7
Notes
General Note
Includes index.
Description
Solve SEO problems using data science. This hands-on book is packed with Python code and data science techniques to help you generate data-driven recommendations and automate the SEO workload. This book is a practical, modern introduction to data science in the SEO context using Python. With social media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From machine learning to Natural Language Processing (NLP) techniques, Data-Driven SEO with Python provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems. This book is ideal for SEO professionals who want to take their industry skills to the next level and enhance their business value, whether they are a new starter or highly experienced in SEO, Python programming, or both.
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Citations
APA Citation, 7th Edition (style guide)
Voniatis, A., & Critchlow, W. (2023). Data-driven SEO with Python: solve SEO challenges with data science using Python ([First edition].). Apress.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Voniatis, Andreas and Will, Critchlow. 2023. Data-driven SEO With Python: Solve SEO Challenges With Data Science Using Python. Apress.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Voniatis, Andreas and Will, Critchlow. Data-driven SEO With Python: Solve SEO Challenges With Data Science Using Python Apress, 2023.
MLA Citation, 9th Edition (style guide)Voniatis, Andreas,, and Will Critchlow. Data-driven SEO With Python: Solve SEO Challenges With Data Science Using Python [First edition]., Apress, 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
659e924f-4ae4-a1f7-77f5-61a17e8ece26-eng
Grouping Information
| Grouped Work ID | 659e924f-4ae4-a1f7-77f5-61a17e8ece26-eng |
|---|---|
| Full title | data driven seo with python solve seo challenges with data science using python |
| Author | voniatis andreas |
| Grouping Category | book |
| Last Update | 2024-09-06 16:31:08PM |
| Last Indexed | 2024-09-18 11:16:34AM |
Book Cover Information
| Image Source | syndetics |
|---|---|
| First Loaded | Sep 19, 2024 |
| Last Used | Sep 19, 2024 |
Marc Record
| First Detected | Jul 29, 2024 04:08:15 PM |
|---|---|
| Last File Modification Time | Sep 06, 2024 04:54:14 PM |
MARC Record
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| 245 | 1 | 0 | |a Data-driven SEO with Python :|b solve SEO challenges with data science using Python /|c Andreas Voniatis ; foreword by Will Critchlow. |
| 250 | |a [First edition]. | ||
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| 300 | |a 1 online resource (xxvi, 580 pages) :|b illustrations (some color) | ||
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| 505 | 0 | |a Chapter 1: Meeting the Challenges of SEO with Data -- Chapter 2: Keyword Research -- Chapter 3: Technical -- Chapter 4: Content & UX -- Chapter 5: Authority -- Chapter 6: Competitors -- Chapter 7: Experiments -- Chapter 8: Dashboards -- Chapter 9: Site Migrations and Relaunches -- Chapter 10: Google Updates -- Chapter 11: The Future of SEO -- Chapter 12: Glossary. | |
| 520 | |a Solve SEO problems using data science. This hands-on book is packed with Python code and data science techniques to help you generate data-driven recommendations and automate the SEO workload. This book is a practical, modern introduction to data science in the SEO context using Python. With social media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From machine learning to Natural Language Processing (NLP) techniques, Data-Driven SEO with Python provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems. This book is ideal for SEO professionals who want to take their industry skills to the next level and enhance their business value, whether they are a new starter or highly experienced in SEO, Python programming, or both. | ||
| 650 | 0 | |a Web search engines.|0 http://id.loc.gov/authorities/subjects/sh97007463 | |
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| 700 | 1 | |a Critchlow, Will,|e writer of foreword. | |
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