Books, which was once considered as a great source of knowledge and wisdom are hardly been read by people these days. To add to that, it is an even fewer occurrence a programmer reading books, as they mostly depend on the internet search results to get their answers.
With the technology moving forward at a speed quicker than anytime in the history of mankind, there are new programming languages and tools every few months, seeking to be the silver bullet for all deficiencies of existing languages, tools and practices.
Even the great minds of yesteryears have faced the same problems and worked out the best possible solutions to solve them. The strategies to approach and solve the problems have been caught in some great books.
The real challenge of programming isn’t learning a language’s syntax—it’s learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge.
You’ll also learn how to:
–Split problems into discrete components to make them easier to solve
–Make the most of code reuse with functions, classes, and libraries
–Pick the perfect data structure for a particular job
–Master more advanced programming tools like recursion and dynamic memory
–Organize your thoughts and develop strategies to tackle particular types of problems
Although the book’s examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.
When you write software, you need to be at the top of your game. Great programmers practice to keep their skills sharp. Get sharp and stay sharp with more than fifty practice exercises rooted in real-world scenarios. If you’re a new programmer, these challenges will help you learn what you need to break into the field, and if you’re a seasoned pro, you can use these exercises to learn that hot new language for your next gig.
One of the best ways to learn a programming language is to use it to solve problems. That’s what this book is all about. Instead of questions rooted in theory, this book presents problems you’ll encounter in everyday software development. These problems are designed for people learning their first programming language, and they also provide a learning path for experienced developers to learn a new language quickly.
Start with simple input and output programs. Do some currency conversion and figure out how many months it takes to pay off a credit card. Calculate blood alcohol content and determine if it’s safe to drive. Replace words in files and filter records, and use web services to display the weather, store data, and show how many people are in space right now. At the end you’ll tackle a few larger programs that will help you bring everything together.
Each problem includes constraints and challenges to push you further, but it’s up to you to come up with the solutions. And next year, when you want to learn a new programming language or style of programming, perhaps OOP vs. functional, you can work through this book again, using new approaches to solve familiar problems.
What You Will Learn in This Book
Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles” is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.
A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.
Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn or relearn core computer science concepts, and practice on 189 interview questions and solutions. These interview questions are real; they are not pulled out of computer science textbooks. They reflect what’s truly being asked at the top companies, so that you can be as prepared as possible.
-189 programming interview questions, ranging from the basics to the trickiest algorithm problems.
– A walk-through of how to derive each solution, so that you can learn how to get there yourself.
– Hints on how to solve each of the 189 questions, just like what you would get in a real interview.
– Five proven strategies to tackle algorithm questions, so that you can solve questions you haven’t seen.
– Extensive coverage of essential topics, such as big O time, data structures, and core algorithms. – A behind the scenes look at how top companies like Google and Facebook hire developers.
– Techniques to prepare for and ace the soft side of the interview: behavioral questions.
– For interviewers and companies: details on what makes a good interview question and hiring process.
These books are surely to fast forward your programming career.
Keep Coding!