Books don’t just teach you to code — they teach you to think like a programmer.
The man who does not read has no advantage over the man who cannot read.
Learning programming using an online tutorial is like taking a picture.
You click, and that’s that. Learning to program with books, though — that’s like creating a painting. You layer and layer on it, and you keep working for weeks. You might still have the same image in the end, but there’s a depth to it that’s impossible to capture with a snapshot.
I know we live in a world where everyone wants fast results. Watching online tutorials might seem like the easiest way to learn programming. But the quality of outcome you get with books cannot be matched.
You can go much deeper with books than you can using any other method.
And here’s something people don’t talk about enough: when you start working, there won’t be any video tutorials to help you. You’ll have to read documentation and implement things by yourself.
Building a habit of reading and understanding technical material is a must if you want a solid career as a programmer.
That’s why I’m giving you 5 practical books to get started with.
Let’s do this.
1. Python Crash Course — Learn by Building Cool Projects
If you want to learn Python by building cool projects, check out this book called “Python Crash Course.” The first half of the book deals with the basics like variables, conditionals, loops, and functions. But the real magic happens in the second part of the book, where you actually build projects.
You’ll use the pygame package to build an Alien Invasion game. How does that sound as your first ever project? You’ll be able to shoot down the alien fleet and even have a scoreboard to list high scores.
In the second project, you’ll learn how to work with APIs. You’ll download data from the GitHub API and visualize it using Matplotlib. And in the final project, you’ll build a web app using Django, a very popular Python web framework. You’ll also learn how to style your app using bootstrap, a widely-used CSS framework. At the end, you’ll even deploy your website to the cloud, so the entire world can see it.
After completing this book, you’ll feel confident enough to start building your own Python projects.
2. Eloquent JavaScript — For Web Development Enthusiasts
Next, I have a great recommendation for web development enthusiasts. If you want a deep understanding of JavaScript, try out the book “Eloquent JavaScript.”
This book is available online completely for free. And the best part? You can try out all the exercises right on their website.
In the first part of the book, you learn the basics — things like variables, functions, and objects. In the second part, you dive into how JavaScript interacts with the browser and the Document Object Model, or DOM. Finally, in the last part, you’ll learn about Node.js, which allows you to run JavaScript on the server instead of just in the browser.
Every chapter gives you exercises to test your knowledge. You’ll also build some really cool projects. You’ll create a brand-new programming language called Egg. You’ll make a web app for editing pixel art. And in the final project, you’ll build a website that helps people organize meetings to share their skills.
3. The Pragmatic Programmer — Timeless Principles
Next, we have a timeless classic: “The Pragmatic Programmer.”
The principles in this book aren’t tied to specific technologies or programming languages. That makes them applicable even years after the book was first published in 1999.
This book covers topics like debugging, testing, automation, and communication, giving you a well-rounded perspective on what it takes to be an effective software developer. It focuses on fundamental principles and best practices you can apply in any programming context.
One of the best parts about this book is how it uses clever metaphors and analogies to explain complex technical concepts. For example, it introduces the idea of “Code Kata.” In Japanese, the word Kata means “form” and is used to describe deliberate practice and repetition in martial arts. By doing Code Kata exercises, programmers can reinforce their knowledge of algorithms, data structures, and design patterns.
Whether you’re a beginner or an experienced developer, this book has something for everyone. It’s a must-read for anyone serious about honing their craft.
4. Clean Code — Writing Maintainable Software
So, you’ve learned a couple of programming languages and you’ve become a pragmatic programmer. Now, you need to know how to write clean, maintainable code. For that, we have another classic: “Clean Code” by Uncle Bob.
The primary goal of this book is to improve the readability and maintainability of your code.
It teaches you to write code that’s easy for other developers to understand, modify, and extend.
You’ll learn when — and when not — to use comments. The book encourages you to write self-explanatory code instead of relying on tons of comments. It also covers how to properly name your variables, functions, and classes.
The book uses real-world examples to drive the points home. Uncle Bob writes most code snippets in Java, but the concepts easily apply to other languages. It also introduces software design principles like the Single Responsibility Principle (SRP) and Don’t Repeat Yourself (DRY).
The book can get a bit too opinionated at times. So you don’t have to follow everything to a tee.
But it’s still a fantastic starting point to improve the quality of your code.
5. Designing Data-Intensive Applications (DDIA) — Think Like a Systems Architect
If you want to go from a junior developer to a senior developer, you have to start thinking beyond just code. You need to know how to architect your systems in a way that they can reliably handle thousands of simultaneous requests.
For that, you should read “Designing Data-Intensive Applications” (often called DDIA).
This book introduces you to the challenges of building systems that are reliable, scalable, and maintainable. You’ll learn when to use relational databases vs. NoSQL databases. DDIA also helps you understand how databases efficiently store and retrieve data.
It teaches you how to distribute data across multiple machines when your dataset becomes too large for a single server. And while it covers a lot of theory, it also provides practical advice you can use in the real world. You’ll read examples from big tech companies like Google and Amazon.
The book ends with a look at emerging trends in data systems, like new databases and storage technologies.
If you want to learn how to make smart trade-offs while building large-scale applications, DDIA is a must-read.
Final Thoughts
If you want to build a deeper understanding of programming concepts, books are the best way to do it.
My name is Usman, and I’ll see you in the next one.
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Let’s just break the record of maximum likes.