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Pearson

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

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Description

For introductory-level Python programming and/or data-science courses.A groundbreaking, flexible approach to computer science and data scienceThe Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer- science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science.The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation. Read more

Publisher ‏ : ‎ Pearson; 1st edition (February 15, 2019)


Language ‏ : ‎ English


Paperback ‏ : ‎ 880 pages


ISBN-10 ‏ : ‎ 0135404673


ISBN-13 ‏ : ‎ 76


Item Weight ‏ : ‎ 2 pounds


Dimensions ‏ : ‎ 7 x 1.45 x 9.1 inches


Best Sellers Rank: #293,467 in Books (See Top 100 in Books) #159 in Computer Programming Languages #277 in Cloud Computing (Books) #287 in Python Programming


#159 in Computer Programming Languages:


#277 in Cloud Computing (Books):


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If you place your order now, the estimated arrival date for this product is: Monday, Nov 25

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Top Amazon Reviews

    • Good textbook!
I use it and really enjoy the web support and online tools provided when you buy the book. One of my favorites!
Reviewed in the United States on August 29, 2024 by Chris
    • Minor mistakes but 10/10 will recommend
Got this because school professor required it for our python class. Was not happy for the price but honestly very pleasantly surprised by how good and in depth this goes. Will have to say the online videos, and Jupyter codes (our professor provided to us, maybe available on author's website?) are crucial to success in understanding of python. The Jupyter notes contains all the codes of the book so you can test run them and see how those outputs actually come out. Goes super fast in content, but feel I have a good grasp on the content and feel confident in even some more advanced python coding utilizing packages ... show more
Reviewed in the United States on November 17, 2019 by Kindle 客户
    • Great condition for used book
Review Image by Ginger Ginger
Review Image by Ginger Ginger
Review Image by Ginger Ginger
Just as described. Little wear and tear on the cover and back, but the pages inside are in great condition for a used book. Very clean inside. No highlights or markings.
Reviewed in the United States on September 20, 2022 by Ginger Ginger
    • Takes beginners to make them pros!
I purchased your book "Intro to Python for Computer Science and Data Science" for the needs of my MSc program in Data Science. I must say that, despite my little experience in programming (I am a medical doctor seeking to expand my knowledge in this expanding, cutting-edge field), I am truly fascinated by the comprehensive character and didactic value of this masterpiece. ... show more
Reviewed in the United States on January 30, 2020 by Panteleimon Pantelidis
    • no access to the chapter codes online to download
Should I get an access code to Pearson with it? I got the book as new but the foil was barely touching the book, so the book wasn't considered new as someone opened it before me. I had no pearson access with it, should it be included to download the chapters? I don't want to purchase another just to download the code for each chapter. In general the book is okay. I just started using python. ... show more
Reviewed in the United States on January 26, 2024 by Science Nerd
    • So much easier than going to campus
I found all of our college textbooks here for less than the college bookstore
Reviewed in the United States on July 21, 2022 by JM
    • Great introduction for Python, Big Data and Machine Learning
Both Data science and machine learning can be demanding subjects, this book is great to smooth that learning curve while gaining working knowledge. I personally would like to add a whole chapter dedicated solely to Exploratory Data Analisis.
Reviewed in the United States on August 13, 2019 by Mario Rugeles Perez
    • Great for beginners
Great book for beginners. Has lots of free examples on author's Git Hub to follow along the book.
Reviewed in the United States on June 19, 2020 by SK

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