I'm a student
I'm an educator
Request full copy

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, 1st edition

Published by Pearson (February 15, 2019) © 2020

  • Paul Deitel Deitel & Associates, Inc.
  • Harvey M. Deitel Deitel & Associates, Inc.

eTextbook

per month

  • Anytime, anywhere learning with the Pearson+ app
  • Easy-to-use search, navigation and notebook
  • Simpler studying with flashcards
$90.66

  • Hardcover, paperback or looseleaf edition
  • Affordable rental option for select titles
  • Free shipping on looseleafs and traditional textbooks

For courses in Python programming and/or data-science.

A groundbreaking, flexible approach to computer science and data science

Introduction to Python for Computer Science and Data Science takes a unique approach to teaching and learning Python programming with an optional data science track in each chapter. The Deitels cover the most current topics and applications to prepare students for their careers. Jupyter Notebooks supplements and AI/big data case studies provide opportunities for students to test their skills. Hundreds of hands-on examples, exercises and projects offer a challenging and entertaining introduction to Python and data science.

Hallmark features of this title

Current real-world applications

  • Hundreds of examples, exercises and projects (EEPs) offer a hands-on introduction to Python and data science.
  • AI, big data and the Cloud are explored in 6 fully implemented data science case studies.
  • Jupyter Notebooks supplements give students practice working in a live coding environment.
  • Self-Check exercises with answers let students test their knowledge using short-answer questions and interactive iPython coding sessions.

Unique modular organization of computer and data science topics

  • Content is divided into groups of related chapters. Python content and optional intros to data science are presented early. Later chapters dive deeper into data science.
  • A chapter dependency chart helps instructors easily plan their syllabi.

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®, Sparkâ„¢, NoSQL and IoT

About our authors

Paul J. Deitel, CEO and Chief Technical Officer of Deitel & Associates, Inc., is an MIT graduate with 43 years in computing. He is one of the world's most experienced programming-languages trainers, having taught professional courses to software developers since 1992. He has delivered hundreds of programming courses to academic, industry, government and military clients of Deitel & Associates, Inc. internationally, including UCLA, SLB (formerly Schlumberger), Cisco, IBM, Siemens, Sun Microsystems (now Oracle), Dell, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile Range, Rogue Wave Software, Boeing, Puma, iRobot and many more.

Dr. Harvey M. Deitel, Chairman and Chief Strategy Officer of Deitel & Associates, Inc., has 62 years of experience in computing. Dr. Deitel earned B.S. and M.S. degrees in Electrical Engineering from MIT and a Ph.D. in Mathematics from Boston University; he studied computing in each of these programs before they spun off Computer Science departments. He has extensive college and professional teaching experience, including earning tenure and serving as the Chairman of the Computer Science Department at Boston College before founding Deitel & Associates in 1991 with his son, Paul. The Deitels' publications have earned international recognition, with more than 100 translations published in Japanese, German, Russian, Spanish, French, Polish, Italian, Simplified Chinese, Traditional Chinese, Korean, Portuguese, Greek, Urdu and Turkish. Dr. Deitel has delivered hundreds of programming courses to academic, corporate, government and military clients.

Need help? Get in touch

Pearson+

All in one place. Pearson+ offers instant access to eTextbooks, videos and study tools in one intuitive interface. Students choose how they learn best with enhanced search, audio and flashcards. The Pearson+ app lets them read where life takes them, no wi-fi needed. Students can access Pearson+ through a subscription or their MyLab or Mastering course.

Video
Play
Privacy and cookies
By watching, you agree Pearson can share your viewership data for marketing and analytics for one year, revocable by deleting your cookies.

Video transcript (PDF | 16KB) 

Pearson eTextbook: What’s on the inside just might surprise you

They say you can’t judge a book by its cover. It’s the same with your students. Meet each one right where they are with an engaging, interactive, personalized learning experience that goes beyond the textbook to fit any schedule, any budget, and any lifestyle. 

Digital Learning NOW

Extend your professional development and meet your students where they are with free weekly Digital Learning NOW webinars. Attend live, watch on-demand, or listen at your leisure to expand your teaching strategies. Earn digital professional development badges for attending a live session.

Explore webinars