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Intro to Python for Computer Science and Data Science by Paul Deitel INT'L ED

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ApproximatelyC $52.67
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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Series
Python
Subject Area
Programming
Educational Level
Adult & Further Education
Level
Advanced, Beginner, Intermediate, Technical
Subject
Computer Science
ISBN
9780135404676
Publication Year
2019
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Intro to Python for Computer Science and Data Science : Learning to Program with AI, Big Data and the Cloud
Item Height
1.4in
Author
Paul Deitel, Harvey Deitel
Item Length
9.1in
Publisher
Pearson Education
Item Width
7in
Item Weight
43 Oz
Number of Pages
880 Pages

About this product

Product Information

For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The 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.

Product Identifiers

Publisher
Pearson Education
ISBN-10
0135404673
ISBN-13
9780135404676
eBay Product ID (ePID)
28038257079

Product Key Features

Author
Paul Deitel, Harvey Deitel
Publication Name
Intro to Python for Computer Science and Data Science : Learning to Program with AI, Big Data and the Cloud
Format
Trade Paperback
Language
English
Publication Year
2019
Type
Textbook
Number of Pages
880 Pages

Dimensions

Item Length
9.1in
Item Height
1.4in
Item Width
7in
Item Weight
43 Oz

Additional Product Features

Lc Classification Number
Qa76.73.P98d45 2020
Table of Content
Brief Contents To see a visual view of the unique Table of Contents, download the PDF. PART 1 CS: Python Fundamentals Quickstart CS 1. Introduction to Computers and Python DS Intro: AI-at the Intersection of CS and DS CS 2. Introduction to Python Programming DS Intro: Basic Descriptive Stats CS 3. Control Statements and Program Development DS Intro: Measures of Central Tendency--Mean, Median, Mode CS 4. Functions DS Intro: Basic Statistics-- Measures of Dispersion CS 5. Lists and Tuples DS Intro: Simulation and Static Visualization PART 2 CS: Python Data Structures, Strings and Files CS 6. Dictionaries and Sets DS Intro: Simulation and Dynamic Visualization CS 7. Array-Oriented Programming with NumPy, High-Performance NumPy Arrays DS Intro: Pandas Series and DataFrames CS 8. Strings: A Deeper Look Includes Regular Expressions DS Intro: Pandas, Regular Expressions and Data Wrangling CS 9. Files and Exceptions DS Intro: Loading Datasets from CSV Files into Pandas DataFrames PART 3 CS: Python High-End Topics CS 10. Object-Oriented Programming DS Intro: Time Series and Simple Linear Regression CS 11. Computer Science Thinking: Recursion, Searching, Sorting and Big O CS and DS Other Topics Blog PART 4 AI, Big Data and Cloud Case Studies DS 12. Natural Language Processing (NLP), Web Scraping in the Exercises DS 13. Data Mining Twitter®: Sentiment Analysis, JSON and Web Services DS 14. IBM Watson® and Cognitive Computing DS 15. Machine Learning: Classification, Regression and Clustering DS 16. Deep Learning Convolutional and Recurrent Neural Networks; Reinforcement Learning in the Exercises DS 17. Big Data: Hadoop®, SparkTM, NoSQL and IoT
Copyright Date
2020
Target Audience
College Audience
Topic
Programming Languages / Basic, Programming Languages / Python
Lccn
2019-003447
Dewey Decimal
005.13/3
Dewey Edition
23
Genre
Computers

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