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Solution Manual for Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud By Paul J. Deitel, Harvey M. Deitel,

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Instant download Solution Manual for Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud By Paul J. Deitel, Harvey M. Deitel pdf docx epub after payment.

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ISBN-10 ‏ : ‎ 0135404673
ISBN-13 ‏ : ‎ 978-0135404676
Author: Paul Deitel; Harvey Deitel

The Deitels’ Intro 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.

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 StudiesDS 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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Solution Manual for Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud By Paul J. Deitel, Harvey M. Deitel,

Instant download Solution Manual for Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud By Paul J. Deitel, Harvey M. Deitel pdf docx epub after payment.

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Solution Manual for Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud By Paul J. Deitel, Harvey M. Deitel,

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