Revel for Intro to Python for Computer Science and Data Science (Brief Version), 1st edition
Published by Pearson (August 1, 2023) © 2023
- Paul Deitel Deitel & Associates, Inc.
- Harvey M. Deitel Deitel & Associates, Inc.
Revel
- Inspire engagement through active learning
- Provide an immersive reading experience
- Assess student progress with performance insights
For introductory-level Python programming and/or data-science courses.
A groundbreaking, flexible approach to computer science and data science
A subset of chapters from the "big book," Introduction to Python for Computer Science and Data Science, Brief Version, takes a unique approach to teaching and learning Python programming with an optional data science track in each chapter. Students learn Python by solving interesting problems using real-world datasets, with a focus on software engineering and program clarity. Jupyter Notebooks supplements, downloadable Python source code, and hundreds of hands-on examples, exercises and projects provide opportunities for students to test their skills.
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.
- Downloadable Python source code and 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 is presented with an optional data science track in every chapter.
- A chapter dependency chart helps instructors easily plan their syllabi.
Features of Revel for the Brief Version
- Core Python programming concepts are included in this Brief Version of the textbook (Chapters 1 through 11, Parts 1 through 3).
- VideoNotes in which co-author Paul Deitel explains most of the code examples in the book's core CS1 chapters (Chs. 1 through 11), taking students from design to coding.
- Checkpoint self-assessment exercises with answers let students test their new-found knowledge.
- Assignable and auto-graded formative and summative coding assessments include end-of-section quizzes and end-of-chapter programming projects. Students experience the power of practice as they work through their coding assignments and receive immediate personalized feedback. You can gauge student comprehension frequently, provide timely feedback, and address learning gaps along the way.
- Flashcards and Term Matching study tools deepen contextual understanding and help students quickly build their professional vocabulary.
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
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.
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