Skip to main content
0

English

Image coming soon

Access educator resources

Published by Pearson (July 9, 2024) © 2024

Paul Deitel | Harvey Deitel
    €51,99
    ISBN-13: 9781292739076

    Revel Access Code for Intro to Python for Computer Science and Data Science (Brief Version), Global Edition ,1st edition

    Published 2024

    Access details

    • Register via our Revel page to complete your purchase
    • A Course ID link or VLE link from your instructor is required
    • Access length varies and depends on the duration of your instructor's course

    Features

    • More than a digital textbook
    • Multimedia content and practice integrated
    • Immediate feedback on tests and quizzes
    • Highlighting, notetaking and study tips
    • Anytime, anywhere learning

    Language: English

    Product Information

    A subset of chapters from the "big book," Introduction to Python for Computer Science and Data Science, Brief Version, Global Edition, takes a unique, modular approach to teaching and learning introductory Python programming that is relevant for both computer science and data science audiences. The Deitels cover the most current topics and applications to prepare you for your subsequent courses and career. Interesting, real-world problems use 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 you to test and apply your skills as you learn.

    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
    !
    Top