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C How to Program 9th Edition Deitel Paul

Name: C How to Program 9th Edition Deitel Paul
SKU: EB-43691730
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C How to Program 9th Edition Deitel Paul Digital Instant Download

Author(s): Deitel Paul, Deitel Harvey

ISBN(s): 9780135404676, 0135404673

Edition: 9

File Details: PDF, 23.78 MB

Year: 2022

Language: English

SKU: EB-43691730 Categories: Computers - Programming, Ebook, Medicine Tags: Deitel Harvey, Deitel Paul

Description

C How to Program – Ebook Instant Download/Delivery ISBN(s): 9780135404676,0135404673

Product details:

ISBN-10 ‏ : ‎ 0135404673
ISBN-13 ‏ : ‎ 978-0135404676
Author(s): Deitel Paul, Deitel Harvey

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.

Table contents:

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®, Spark™, NoSQL and IoT

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