Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Hands-On Data Structures and Algorithms with Python
  • Toc
  • feedback
Hands-On Data Structures and Algorithms with Python

Hands-On Data Structures and Algorithms with Python

By : Dr. Basant Agarwal, Benjamin Baka
3 (13)
close
Hands-On Data Structures and Algorithms with Python

Hands-On Data Structures and Algorithms with Python

3 (13)
By: Dr. Basant Agarwal, Benjamin Baka

Overview of this book

Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications. This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms.
Table of Contents (16 chapters)
close

Symbol tables

Symbol tables are used by compilers and interpreters to keep track of the symbols that have been declared and to keep information about them. Symbol tables are often built using hash tables since it is important to efficiently retrieve a symbol from the table.

Let's look at an example. Suppose we have the following Python code:

    name = "Joe" 
age = 27

Here, we have two symbols, name and age. They belong to a namespace, which could be __main__, but it could also be the name of a module if you placed it there. Each symbol has a value; for example, the name symbol has the value, Joe, and the age symbol has the value, 27. A symbol table allows the compiler or the interpreter to look up these values. So, the name and age symbols become keys in the hash table. All of the other information associated with them become the value of the symbol table entry...

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete