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{ "item_title" : "Algorithms & Data Structures in Python", "item_author" : [" Nareg Sinenian", "Srinivasan Jagannathan "], "item_description" : "This book covers a wide breadth of important and useful subject matter without sacrificing depth. It introduces the reader to the Python programming language, but does not assume deep prior knowledge of computer science or computer programming. The book also provides an in-depth introduction to a variety of algorithms and data structures that are used throughout the industry. In addition, it introduces the reader to important basic concepts in computer science, networking, cryptography, numerical analysis, and computational geometry. The authors provide many illustrative examples written in Python. Python source code of examples used throughout the book can be obtained from: https: //github.com/pythonbook/pythonbook", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/50/237/871/150237871X_b.jpg", "price_data" : { "retail_price" : "59.95", "online_price" : "59.95", "our_price" : "59.95", "club_price" : "59.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Algorithms & Data Structures in Python|Nareg Sinenian

Algorithms & Data Structures in Python

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Overview

This book covers a wide breadth of important and useful subject matter without sacrificing depth. It introduces the reader to the Python programming language, but does not assume deep prior knowledge of computer science or computer programming. The book also provides an in-depth introduction to a variety of algorithms and data structures that are used throughout the industry. In addition, it introduces the reader to important basic concepts in computer science, networking, cryptography, numerical analysis, and computational geometry. The authors provide many illustrative examples written in Python. Python source code of examples used throughout the book can be obtained from: https: //github.com/pythonbook/pythonbook

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Details

  • ISBN-13: 9781502378712
  • ISBN-10: 150237871X
  • Publisher: Createspace Independent Publishing Platform
  • Publish Date: November 2014
  • Dimensions: 9.61 x 6.69 x 0.65 inches
  • Shipping Weight: 1.09 pounds
  • Page Count: 310

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