In Haskell from the Very Beginning John Whitington takes a no-prerequisites approach to teaching the basics of a modern general-purpose programming language. Each small, self-contained chapter introduces a new topic, building until the reader can write quite substantial programs. There are plenty of questions and, crucially, worked answers and hints. Haskell from the Very Beginning will appeal both to new programmers, and to experienced programmers eager to explore functional languages such as Haskell. It is suitable both for formal use within an undergraduate or graduate curriculum, and for the interested amateur. Chapters: Getting Ready - Starting Off - Names and Functions - Using Scripts - Case by Case - Making Lists - Two Ways of Thinking - Sorting Things - Functions upon Functions upon Functions - When Things Go Wrong - Looking Things Up - More with Functions - New Kinds of Data - Growing Trees - The Other Numbers - Being Lazy - In and Out - Building Bigger Programs - The Standard Prelude and Base - Answers to Questions - Hints for Questions - Coping with Errors - Index "If you're planning on learning Haskell, I'd recommend you get this book." - Kay Ewbank, i-programmer.info Haskell has, justly or unjustly, a reputation as a difficult language to learn. In this book, I take an approach which is equally suitable for those who already know how to program in another language, and those who have never written computer programs before. Nothing is assumed, and yet we manage to make quite speedy progress over the chapters. It is this conciseness and focus which I hope sets it apart from other Haskell texts. I hope you enjoy it. John Whitington founded a company which sells software for document processing. He taught programming to students of Computer Science at the University of Cambridge. His books include the textbooks PDF Explained (O'Reilly, 2012), OCaml from the Very Beginning (Coherent, 2013), and Haskell from the Very Beginning (Coherent, 2019) and the Popular Science book A Machine Made this Book: Ten Sketches of Computer Science (Coherent, 2016).