Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Data Structures and Algorithms in Python

Buy

Based on the authors’ market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

  • Begins by discussing Python’s conceptually simple syntax, which allows for a greater focus on concepts.
  • Employs a consistent object-oriented viewpoint throughout the text.
  • Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects.
  • Provides a thorough discussion on the analysis and design of fundamental data structures.
  • Includes many helpful Python code examples, with source code provided on the website.
  • Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.
  • Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts.
  • Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.
(HTML tags aren't allowed.)

Think Python: How to Think Like a Computer Scientist
Think Python: How to Think Like a Computer Scientist

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have...

Automate the Boring Stuff with Python: Practical Programming for Total Beginners
Automate the Boring Stuff with Python: Practical Programming for Total Beginners

If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what
...

Python Programming Fundamentals (Undergraduate Topics in Computer Science)
Python Programming Fundamentals (Undergraduate Topics in Computer Science)

This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally. 

Features: incudes numerous examples and practice exercises throughout the text, with additional exercises, solutions and review questions at the...


Mastering PyCharm
Mastering PyCharm

Use PyCharm with fluid efficiency to write idiomatic python code

About This Book

  • Understand how PyCharm works and how you can leverage its strength to develop applications quickly
  • Master PyCharm's editor to get a fast workflow
  • Full of examples and illustrations that...
Graphing Data with R: An Introduction
Graphing Data with R: An Introduction

It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods...

Introduction to Computational Models with Python (Chapman & Hall/CRC Computational Science)
Introduction to Computational Models with Python (Chapman & Hall/CRC Computational Science)

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such...

©2018 LearnIT (support@pdfchm.net) - Privacy Policy