Python for Programmers: with Big Data and Artificial Intelligence Case Studies : 9780135224335

Python for Programmers: with Big Data and Artificial Intelligence Case Studies

Deitel / Deitel / Deitel
Published by
Pearson Higher Ed USA
In stock
Title type

Written for developers with a background in any high-level language, Introduction to Python and Data Science for Programmers explores the Python language and Python APIs in depth, applying the Deitels’ signature live-code approach to teaching programming. Paul Deitel and Dr. Harvey M. Deitel present concepts in the context of fully tested programs, complete with syntax shading, code highlighting, line-by-line code walkthroughs, and program outputs. They feature hundreds of complete Python programs with nearly 20,000 lines of proven Python code, and hundreds of tips to help you build robust applications. You’ll start with an introduction to Python using an early classes and objects approach, and then rapidly move on to more advanced topics.

Throughout, you’ll enjoy the Deitels' classic treatment of object-oriented programming. By the time you’re finished, you’ll have everything you need to build industrial-strength Python applications.

The DEITEL® Developer Series is designed for practicing programmers. The series presents focused treatments of modern technologies, including Python, Java™, C++, .NET, web services, Internet and web development, and more.

Table of contents
Part 1-Python Fundamentals
1 Introduction to Computers and Python
2 Introduction to Python Programming
3 Control Statements; Program Development
4 Functions
5 Lists and Tuples (This is the sample chapter enclosed with this proposal. We also enclose a

Part 2-Python Data Structures, Files and Databases
6 Arrays
7 Sets and Dictionaries
8 Strings: A Deeper Look
9 File and Exceptions
10 SQL Databases

Part 3-Python High-End Topics
11 Object-Based Programming: Classes and Objects
12 Object-Oriented Programming: Inheritance and Polymorphism
13 tkinter GUI
14 turtle Graphics and tkinter-Based Canvas Graphics
15 Concurrency and Parallelism
16 Game Programming with PyGame
17 Python Other Topics

Part 4-Python-Based Data-Science Case Studies
18 Natural Language Processing (NLP)
19 Data Mining Twitter: Web Services and JSON
20 Supervised Machine Learning
21 Unsupervised Machine Learning
22 Deep Learning
23 Reinforcement Learning
24 NoSQL and NewSQL Databases
25 Big Data with Hadoop
26 Big Data with Spark; Internet of Things (IoT)
27 Special Feature: IBM Watson Analytics and Cognitive Computing

A Operator Precedence Chart
B ASCII Character Set
C Number Systems
D Testing and Debugging
E Integrated Development Environments (IDEs)
F Getting Your Questions Answered
G Suggested Capstone Projects and Thesis Topics