32 books like Jumpstart Snowflake

What if you are faced with a problem for which a standard approach doesn’t yet exist? In such a case, you will need to be able to figure out the approach from the first principles. This book will help you learn how to derive insights starting from raw data.

Even if you are ultimately going to be working with terabytes of data, you’ll start out doing exploratory data analysis. The tool that you’ll use for that is most likely going to be Pandas. One of the best investments that you can make when becoming a data scientist is to become a Pandas expert, and there is no better book than Harrison’s to help you get there. Plus, many of the interview questions you will face during the hiring process will probably involve Pandas. Blow your interviewers out of the water by showing them corners of the Pandas library they didn’t even know!

As a data scientist in the industry, it is very helpful to understand the business context behind the problems that you are solving. In many cases, you are trying to predict behavior—who is likely to buy an item, who is likely to click on a link, who is likely to repay a loan, etc.

This book by Eric Siegel is a great introduction to predictive analytics as used in real-life. It will help you frame data science problems in standard ways. For example, suppose you are asked to score sales leads so that salespeople can prioritize their efforts. How would you do it? The common way to frame this problem is to predict the customer lifetime value (LTV) of every sales lead. Before you can do prediction, you have to be able to do analysis though.

The way you estimate the LTV is to break the problem into three sub-problems:… show more.

It is not enough for a data scientist to be able to analyze data and build ML models. You have to be able to communicate the insights to decision-makers concisely and accurately. This book shows you bad and good visualizations — you’ll be surprised by how often you would have defaulted to the bad way without the guidance provided by this book!

You may know of Sugata’s work, even if the name does not ring a bell. He is the Indian professor who decided to cement an online computer into a wall in a slum in Delhi, set up a hidden camera, and waited to see how the local children would react. This was before everyone had a laptop or a mobile phone. The kids quickly gathered round and quickly figured out how to do all kinds of interesting things, without any teaching. Indeed, he found that when teachers tried to ‘help’, the children stopped being resourceful, stopped collaborating as independent learners, and expected to be taught. The School in the Cloud documents the growth of Sugata’s work and global influence since that first experiment, and reminds us forcibly of just how much all children can learn under their own steam – if we will just get out of the way. 

This anthology holds a special place in my heart. I received a copy of it as a Christmas present from my dear grandmother in 1979. Just holding it in my hands brings back so many happy memories of that long-departed lady. The book contains just eleven stories, but it is “a collection of deliciously scary fare.” Among the choice delicacies contained within its covers is the shortened version of A Christmas Carol made by Dickens for his public readings of the story, which I read in his imagined voice. Alongside anthology favourites by Hugh Walpole, Algenon Blackwood, and Jerome K. Jerome are less familiar, but equally rewarding ghostly tales by Marjorie Bowen, Oliver Onions, Margery Allingham, and others. I don’t know if it is still in print, but anyone who takes the trouble to find a copy will be richly rewarded. 

While the term the “Metaverse” usually makes people think of a fully digital, immersive world, my own feeling is that technologies that bring digital information and entertainment into our physical world is a much more powerful and important arena. This leads us to the transformative and still-developing world of Augmented Reality.

David Rose of the MIT Media Lab has been working with Augmented Reality for more than a decade, and Supersight is an overview of what he's seen and what he’s learned in this time. 

What I love about Supersight is that while David is clearly as excited about this topic as I am, he’s also a realist, and openly discusses issues and challenges with Augmented Reality. Perhaps most valuable are the 14 Augmented Reality Design Principles that he outlines – super realistic, super useful.

After reading this, you’ll have a very grounded idea of the capabilities and potential of… show more.

This book contains many practical examples of solving common programming tasks using Clojure, and it's an excellent choice for a practical Clojure reference.

Developers who are new to the functional programming style will find a lot of useful patterns for solving problems using idiomatic Clojure style. The book is an essential reference for Clojure developers.

While it is true that I wrote the first few editions of this book, Ian has taken it over, revamped it, and made it an iconic work on the language.

It covers every aspect of C# programming, and explains not only how to do something, but why you would do it. It is chock full of best practices and patterns and anti-patterns, and is well written and engaging.

In addition to Java, you need to know about the Java ecosystem.

Each chapter covers a type of tool like version control, securing binaries, or mobile. Some chapters cover a variety of tools. I particularly liked the overview of Quarkus and Micronaut. I also liked the emphasis of tools vs a role. The analogies were great such as comparing identify/fix/deploy to an oil spill.

The book is 300 pages and easy to carry around. Despite having four authors, the book is very cohesive and reads well.