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(eBook PDF) Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

Name: (eBook PDF) Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud
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(eBook PDF) Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud – Digital Instant Dowload.

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(eBook PDF) Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud – Digital Instant Dowload.

Product details:

ISBN-10 ‏ : ‎ 0135404673
ISBN-13 ‏ : ‎ 978-0135404676
Author: Paul J. Deitel

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.

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

Title tag:

1. Master Python for AI, Big Data & Cloud Computing – Introductory Programming Course for CS and Data Science
2. Learn Python for Computer Science & Data Science – AI, Big Data, and Cloud Programming Essentials
3. Python Programming Foundations – Dive into AI, Big Data, and Cloud Computing for CS and Data Science