Algorithms: Practical Guide to Learn Algorithms For Beginners
- Length: 173 pages
- Edition: 1
- Language: English
- Publisher: Independently published
- Publication Date: 2021-12-10
- ISBN-10: B09MYTMSTC
- ISBN-13: 9798782365080
- Sales Rank: #0 (See Top 100 Books)
Have you ever wondered how a programmer develops games and writes code without having to think too much? Do you want to know what makes a programmer confident about the code they write? Do you want to learn how programmers use algorithms to determine how to structure their programs before they develop it? If you did, this is the book for you.
An algorithm is a set of rules or instructions you provide to a system. The system performs a specific process to answer a question using these instructions. As an amateur or expert, it is important for you to understand what an algorithm is and how you should define it. Once you learn to develop an algorithm, you can easily learn to develop code to execute that algorithm. Throughout this book, you will learn about the following:
- Algorithms and their characteristics
- How you should define the algorithm
- Types of algorithms
- Analyzing an algorithm based on time and space complexities
- Writing code keeping an algorithm in mind
- And more!
This book will also show you how to implement the sorting and searching algorithms using C and Java programming languages, since these are the most common languages used by programmers. Bear in mind an algorithm is only a set of instructions, and this means you can use an algorithm to write code using different programming languages. You will only need to understand the properties of the programming language and use the right syntax.
So, what are you waiting for? If you want to strengthen your understanding of algorithms and write high-performing code, grab a copy of this book now.
Introduction Chapter One: Introduction to Algorithms Association between Algorithms and Computer Science Characteristics of an Algorithm Designing an Algorithm How to Identify the Best Algorithm Understanding the Basic Algorithm that Digitally Powers Life Benefits of Algorithmic Thinking Pros and Cons Chapter Two: Types of Algorithms Backtracking Algorithm Brute Force Algorithm Divide and Conquer Algorithm Dynamic Programming Algorithm Greedy Algorithm Randomized Algorithm Simple Recursive Algorithm Chapter Three: Describing Algorithms Chapter Four: Error Handling Checking for Exceptions Defining Exceptions Special Case Patterns Nulls Common Error Messages Dealing with errors Chapter Five: Analysis of Algorithms Importance of Analysis Analysis Methods Space Complexities Understanding Recursion Chapter Six: An Introduction to Writing Programs Principles of Programming Objects and Classes Data Types Operations Chapter Seven: Types of Programming Languages Definition Types of Programming Languages Programming Languages Chapter Eight: Important Programming Techniques Arrays Building Big Programs Bitwise Logic Boolean Logic Closures Concurrency Decision or Selection Disk Access Immutability Interacting with the Command Line Interacting with the OS Lambdas Loops and Repetitions Linked Lists Modular Arithmetic Pointers Safe Calls Scaling and Random Numbers Strings Structures Text Manipulation Trigonometry Variables Chapter Nine: Testing the Program Laws of TTD Keeping the Tests Clean Testing the Abilities of the Code Clean Tests Characteristics of Tests Chapter Ten: Sorting and Searching Algorithms Searching Algorithms Sorting Algorithms Chapter Eleven: Loop Control and Decision Making Decision Making Loop Statements Loop Control Statements Chapter Twelve: Introduction to Data Structures The Struct Statement Accessing Structure Members Using Structures as Arguments Using Pointers in Structures Typedef Keyword Chapter Thirteen: Comments and Formatting Comments Formatting Chapter Fourteen: Debugging Conclusion Resources
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