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  • Python for Data Science: A Hands-On Introduction

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Python for Data Science: A Hands-On Introduction

by Yuli Vasiliev (Author) Format: Paperback
4.6 out of 5 stars (65)

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A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.

Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.

You will discover Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn, matplotlib, and more. Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations. Later chapters go in-depth with demonstrations of real-world data applications, including using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.
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  1. ISBN-10
    1718502206
  2. ISBN-13
    978-1718502208
  3. Publisher
    No Starch Press
  4. Publication date
    August 2, 2022
  5. Language
    English
  6. Dimensions
    7.05 x 0.71 x 9.25 inches
  7. Print length
    240 pages
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Editorial Reviews

Review

"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

About the Author

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.

Product details

  • Publisher ‏ : ‎ No Starch Press
  • Publication date ‏ : ‎ August 2, 2022
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 240 pages
  • ISBN-10 ‏ : ‎ 1718502206
  • ISBN-13 ‏ : ‎ 978-1718502208
  • Item Weight ‏ : ‎ 15.2 ounces
  • Dimensions ‏ : ‎ 7.05 x 0.71 x 9.25 inches
  • Best Sellers Rank: #968,463 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.6 out of 5 stars (65)

About the author

Follow authors to get new release updates, plus improved recommendations.
Yuli Vasiliev

Yuli Vasiliev

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Yuli Vasiliev is a programmer, freelance author, and consultant with more than two decades of experience. He began as a developer of database-driven applications, using Oracle database technology. The need for data analysis led him eventually to the field of ML and AI.

His present professional interests are in the area of natural language processing (NLP). He runs the @stocknewstip_bot in Telegram, which is available at https://t.me/stocknewstip_bot. The bot can find and bring to the user the latest information about a company's stock, as well as other interesting information related to the company. All the user needs to do is to type in the name of a company, say, Apple, Google, or Tesla. there is also stocknewstip channel (https://t.me/stocknewstip) related to this bot.

He also runs @pic2phrase_bot (https://telegram.me/pic2phrase_bot), where everyone can see an illustration of how the Computer Vision and NLP technologies can be efficiently used together. He is also one of the maintainers of @Porphyry_bot available at https://telegram.me/Porphyry_bot, where he experiments with different NLP tools and techniques.

His new book Natural Language Processing with Python and spaCy explains how you can create NLP applications like chatbots, text-condensing scripts, and order-processing tools. The source code for the book examples is available on GitHub at https://github.com/nlptechbook/examples. To get a quick idea of what this book is about, check out these 2-minute videos: https://www.youtube.com/watch?v=Fc6tULQ1aMQ and https://www.youtube.com/watch?v=oIP-38wA7ms. Catch up on new Yuli's articles on Twitter at @VasilievYuli.

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