9780135224335

Python for Programmers

by ;
  • ISBN13:

    9780135224335

  • ISBN10:

    0135224330

  • Edition: 1st
  • Format: Paperback
  • Copyright: 2019-03-22
  • Publisher: Prentice Hall

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

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Supplemental Materials

What is included with this book?

Summary

The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies

Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python—one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details.

In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, Spark™ and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google Translate™, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more.

Features
  • 500+ hands-on, real-world, live-code examples from snippets to case studies
  • IPython + code in Jupyter® Notebooks
  • Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code
  • Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions
  • Procedural, functional-style and object-oriented programming
  • Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames
  • Static, dynamic and interactive visualizations
  • Data experiences with real-world datasets and data sources
  • Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression
  • AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® Watson™, machine learning, deep learning, computer vision, Hadoop®, Spark™, NoSQL, IoT
  • Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more

Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.

Author Biography

Paul Deitel, CEO and Chief Technical Officer of Deitel & Associates, Inc., is a graduate of MIT, where he studied Information Technology. Through Deitel & Associates, Inc., he has delivered hundreds of programming courses worldwide to clients, including Cisco, IBM, Siemens, Sun Microsystems, Dell, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile Range, Rogue Wave Software, Boeing, SunGard Higher Education, Nortel Networks, Puma, iRobot, Invensys and many more. He and his co-author, Dr. Harvey M. Deitel, are the world’s best-selling programming-language textbook/professional book/video authors.

 

Dr. Harvey Deitel, Chairman and Chief Strategy Officer of Deitel & Associates, Inc., has over 50 years of experience in the computer field. Dr. Deitel earned B.S. and M.S. degrees in Electrical Engineering from MIT and a Ph.D. in Mathematics from Boston University. He has extensive college teaching experience, including earning tenure and serving as the Chairman of the Computer Science Department at Boston College before founding Deitel & Associates, Inc., in 1991 with his son, Paul. The Deitels’ publications have earned international recognition, with translations published in Japanese, German, Russian, Spanish, French, Polish, Italian, Simplified Chinese, Traditional Chinese, Korean, Portuguese, Greek, Urdu and Turkish. Dr. Deitel has delivered hundreds of programming courses to corporate, academic, government and military clients.

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

 

Appendices
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

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