Yuli Vasiliev is a programmer, freelance writer, and consultant, who has been working with databases for more than two decades. He specializes in open-source development, and is experienced in building data structures and models, as well as designing and implementing database backends for various applications using Oracle technologies, MySQL, and natural language processing. Vasiliev is the author of Natural Language Processing with spaCy (No Starch Press.
"A great introduction to Python for data science in a compact
package. I'm impressed with what Yuli Vasiliev included: the basics
of Python, multiple angles at preparation, and a number of chapters
on common types of data. The book is surprisingly visual for a
field known for rows and columns—the location data was especially
interesting to me. By the end of [Python for Data Science], I was
ready to apply the principles to my own datasets."
—Adam DuVander, @adamd, Founder of EveryDeveloper
"Python to help you evaluate information is a great skill to have.
Python for Data Science, written by Yuli Vasiliev, is an excellent
resource for someone interested in getting started with Data
Science. Although not intended for beginners in data analytics or
python programming, this book explains how to implement some
essential python concepts, gives excellent code snippets for
practice, and guides you on using a few important libraries useful
for processing and analyzing data with code."
—Kelly Schuster-Paredes, Co-Host of Teaching Python Podcast,
Educator
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