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Data Structures and Program Design Using Python
Data Structures and Program Design Using Python

Data Structures and Program Design Using Python: A Self-Teaching Introduction to Data Structures and Python

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Profile Icon Mercury Learning and Information Profile Icon N. Malhotra Profile Icon D. Malhotra
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NZ$14.99 NZ$116.99
eBook Aug 2024 394 pages 1st Edition
eBook
NZ$14.99 NZ$116.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon N. Malhotra Profile Icon D. Malhotra
Arrow right icon
NZ$14.99 NZ$116.99
eBook Aug 2024 394 pages 1st Edition
eBook
NZ$14.99 NZ$116.99
eBook
NZ$14.99 NZ$116.99

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Key benefits

  • Hands-on exercises to reinforce learning
  • Comprehensive coverage of fundamental and advanced topics
  • Practical examples to apply concepts in real-world scenarios

Description

This book, part of the Pocket Primer series, introduces the basic concepts of data science using Python 3 and other applications. It offers a fast-paced introduction to data analytics, statistics, data visualization, linear algebra, and regular expressions. The book features numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. Understanding data science is crucial in today's data-driven world. This book provides a comprehensive introduction, covering key areas such as Python 3, data visualization, and statistical concepts. The practical code samples and hands-on approach make it ideal for beginners and those looking to enhance their skills. The journey begins with working with data, followed by an introduction to probability, statistics, and linear algebra. It then delves into Python, NumPy, Pandas, R, regular expressions, and SQL/NoSQL, concluding with data visualization techniques. This structured approach ensures a solid foundation in data science.

Who is this book for?

Ideal for students, self-learners, and programming enthusiasts, this book requires a basic understanding of programming concepts. No prior knowledge of Python is needed as the book covers Python essentials.

What you will learn

  • Understand the basics of data structures
  • Learn Python programming essentials
  • Implement and manipulate various data structures
  • Analyze algorithms and their efficiency
  • Learn about arrays, trees, linked lists, stacks, etc.
  • Apply data structures to solve real-world problems

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 01, 2024
Length: 394 pages
Edition : 1st
Language : English
ISBN-13 : 9781836640721
Category :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Payment Processing...
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Product Details

Publication date : Aug 01, 2024
Length: 394 pages
Edition : 1st
Language : English
ISBN-13 : 9781836640721
Category :

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Table of Contents

14 Chapters
Acknowledgments Chevron down icon Chevron up icon
Chapter 1: Introduction to Data Structures Chevron down icon Chevron up icon
Chapter 2: Introduction to Python Chevron down icon Chevron up icon
Chapter 3: Arrays/Lists Chevron down icon Chevron up icon
Chapter 4: Linked Lists Chevron down icon Chevron up icon
Chapter 5: Queues Chevron down icon Chevron up icon
Chapter 6: Searching and Sorting Chevron down icon Chevron up icon
Chapter 7: Stacks Chevron down icon Chevron up icon
Chapter 8: Trees Chevron down icon Chevron up icon
Chapter 9: Multi-Way Search Trees Chevron down icon Chevron up icon
Chapter 10: Hashing Chevron down icon Chevron up icon
Chapter 11: Files Chevron down icon Chevron up icon
Chapter 12: Graphs Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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