I know we all live in a digital era where we prefer video courses more than books. But books have different values and being software engineers we spend our whole day watching the screen, I think we should shift some learning from books. Here are 5 hand-picked books for every Software Engineer! Upgrade your career by learning from these books!
1. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
This book covers every angle of scalable system design.
In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. The software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
- Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
- Make informed decisions by identifying the strengths and weaknesses of different tools
- Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
- Understand the distributed systems research upon which modern databases are built
- Peek behind the scenes of major online services, and learn from their architectures
2. Clean Code: A Handbook of Agile Software Craftsmanship
The book helps you identify how bad code looks like and suggests how it should have been written in the first place. A lot of code snippets have been shown to consolidate our understanding of a particular topic in consideration. Of course, it will be difficult to remember all the concepts by just one time reading. As such, this book will have to be read and referred to multiple times by the reader to have the concepts etched in the mind. So it’s a really good book for you if you write a lot of code or review it.
- How to tell the difference between good and bad code
- How to write good code and how to transform bad code into good code
- How to create good names, good functions, good objects, and good classes
- How to format code for maximum readability
- How to implement complete error handling without obscuring code logic
- How to unit test and practice is test-driven development
This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.
3. Clean Architecture: A Craftsman’s Guide to Software Structure and Design
Martin’s Clean Architecture doesn’t merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As you’ve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges you’ll face–the ones that will make or break your projects.
- Learn what software architects need to achieve–and core disciplines and practices for achieving it
- Master essential software design principles for addressing function, component separation, and data management
- See how programming paradigms impose discipline by restricting what developers can do
- Understand what’s critically important and what’s merely a “detail”
- Implement optimal, high-level structures for web, database, thick-client, console, and embedded applications
- Define appropriate boundaries and layers, and organize components and services
- See why designs and architectures go wrong, and how to prevent (or fix) these failures
Clean Architecture is essential reading for every current or aspiring software architect, systems analyst, system designer, and software manager–and for every programmer who must execute someone else’s designs.
4. Introduction to Algorithms, 3Ed. (International Edition) (MIT Press)
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in-depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.
5. Head First Object-Oriented Analysis & Design
Head First Object-Oriented Analysis and Design show you how to analyze, design, and write serious object-oriented software: software that’s easy to reuse, maintain and extend; software that doesn’t hurt your head; software that lets you add new features without breaking the old ones. Inside you will learn how to:
- Use OO principles like encapsulation and delegation to build applications that are flexible
- Apply the Open-Closed Principle (OCP) and the Single Responsibility Principle (SRP) to promote reuse of your code
- Leverage the power of design patterns to solve your problems more efficiently
- Use UML, use casesand diagrams to ensure that all stakeholders are communicating clearly to help you deliver the right software that meets everyone’s needs.
By exploiting how your brain works, Head First Object-Oriented Analysis and Design compresses the time it takes to learn and retain complex information. Expect to have fun, expect to learn, expect to be writing great software consistently by the time you’re finished reading this!