Provided below is a list of wonderful books that every developer in the industry should read.

Think Like A Programmer

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.

 

Exercises For Programmers

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.

 

 

How To Learn Programming Languages Quickly

What You Will Learn in This Book

• How to systematically find and fill the gaps in your technical knowledge so you can face any new challenge with confidence
• Should you take contract work – or hold out for a salaried position? Which will earn you more, what the tradeoffs are, and how your personality should sway your choice
• Should you learn JavaScript, C#, Python, C++? How to decide which programming language you should master first
• Ever notice how every job ever posted requires “3-5 years of experience,” which you don’t have? Simple solution for this frustrating chicken-and-egg problem that allows you to build legitimate job experience while you learn to code
• Is earning a computer science degree a necessity – or a total waste of time? How to get a college degree with maximum credibility and minimum debt
• Interviewer tells you, “Dress code is casual around here – the development team wears flip flops.” What should you wear?
• How do you deal with a boss who’s a micromanager. Plus how helping your manager with his goals can make you the MVP of your team
• The technical skills that every professional developer must have – but no one teaches you (most developers are missing some critical pieces, they don’t teach this stuff in college, you’re expected to just “know” this)
• An inside look at the recruiting industry. What that “friendly” recruiter really wants from you, how they get paid, and how to avoid getting pigeonholed into a job you’ll hate

 

Data Structure & Algorithms Made Easy

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.

Cracking The Coding Interview

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.