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Hands-On Data Structures and Algorithms with Python

You're reading from   Hands-On Data Structures and Algorithms with Python Write complex and powerful code using the latest features of Python 3.7

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995573
Length 398 pages
Edition 2nd Edition
Languages
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Authors (2):
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Benjamin Baka Benjamin Baka
Author Profile Icon Benjamin Baka
Benjamin Baka
Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Toc

Table of Contents (16) Chapters Close

Preface 1. Python Objects, Types, and Expressions 2. Python Data Types and Structures FREE CHAPTER 3. Principles of Algorithm Design 4. Lists and Pointer Structures 5. Stacks and Queues 6. Trees 7. Hashing and Symbol Tables 8. Graphs and Other Algorithms 9. Searching 10. Sorting 11. Selection Algorithms 12. String Algorithms and Techniques 13. Design Techniques and Strategies 14. Implementations, Applications, and Tools 15. Other Books You May Enjoy

Arrays

An array is a sequential list of data. Being sequential means that each element is stored right after the previous one in memory. If your array is really big and you are low on memory, it could be impossible to find large enough storage to fit your entire array. This will lead to problems.

Of course, the flip side of the coin is that arrays are very fast. Since each element follows on from the previous one in memory, there is no need to jump around between different memory locations. This can be a very important point to take into consideration when choosing between a list and an array in your own real-world applications.

We have already discussed arrays in Chapter 2, Python Data Types and Structures. We looked at the array data type and discussed various operations that could be performed on it.

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