Targeted at middle and high school programmers, this book aims to explain basic computer science concepts while teaching the Julia programming language. As a fast and productive high level language, Julia is ideal for beginner programmers. The learning curve for programming can be quite steep and this book aims to ease this transition by encouraging practise and gradually introducing more complex concepts. The book contains 50 programming challenges that encourages the reader to write their own programs. The solutions to all challenges are given at the end of the book. This book will make readers comfortable with using computers to solve any problems, and leave them well prepared for more significant programming in their maths, science or computer science courses at college. After finishing the exercises in this book, the reader should feel more familiar with: -Loops and conditionals -Structuring code with functions -Reading and writing files -Installing and using packages -Sorting and searching -Simple Statistics and Plotting. Originally written in Python as "The Little Book of Algorithms 2.0" by William Lau, this version updates the text to use Julia. With a foreword by Jeff Bezanson, co-creator of the Julia programming language.
Targeted at middle and high school programmers, this book aims to explain basic computer science concepts while teaching the Julia programming language. As a fast and productive high level language, Julia is ideal for beginner programmers. The learning curve for programming can be quite steep and this book aims to ease this transition by encouraging practise and gradually introducing more complex concepts. The book contains 50 programming challenges that encourages the reader to write their own programs. The solutions to all challenges are given at the end of the book. This book will make readers comfortable with using computers to solve any problems, and leave them well prepared for more significant programming in their maths, science or computer science courses at college. After finishing the exercises in this book, the reader should feel more familiar with: -Loops and conditionals -Structuring code with functions -Reading and writing files -Installing and using packages -Sorting and searching -Simple Statistics and Plotting. Originally written in Python as "The Little Book of Algorithms 2.0" by William Lau, this version updates the text to use Julia. With a foreword by Jeff Bezanson, co-creator of the Julia programming language.
