Hamburg

Theoretical Foundations of Quantum Computing is an essential textbook for introductory courses in the quantum computing discipline. Quantum computing represents a paradigm shift in understanding computation [...]

A comprehensive introduction to the Julia programming language. Provides a step-by-step foundation on the language's basics before diving into how to write effective Julia programs that solve real-world problems in various scientific fields [...]

Cover -- Title Page -- Copyright -- Dedication -- Contributors -- Table of Contents -- Preface -- Chapter 1: The Julia Environment -- Julia 101 -- Overview of Julia -- Philosophy -- Not only, but also… -- What is data science? -- Comparison with other languages -- Why is Julia fast? -- Why use Julia? -- Julia is easy to learn -- Julia is written (mostly) in Julia -- Julia can interface with other languages -- Julia has a novel type system -- Julia has genuine runtime macros -- Getting started with Julia -- A first Julia script -- Editors and IDEs -- A quick look at some (more) Julia -- Package management -- Listing, adding, and removing packages -- Testing a package -- Choosing and exploring packages -- Machine learning -- Final thoughts -- Summary -- Chapter 2: Developing in Julia -- Technical requirements -- Integers, bits, bytes, and Booleans -- Integers -- Primitive types -- Logical and arithmetic operators -- Booleans -- Big integers -- Arrays -- Broadcasting and list comprehensions -- Computing recursive functions -- Implicit and explicit typing -- Simple matrix operations -- Characters and strings -- Characters -- Strings -- Byte array literals -- Complex and rational numbers -- Complex numbers -- Rationals -- A little light relief -- The Sieve of Eratosthenes -- Bulls and cows -- Julia sets -- Multi-dimensional arrays -- Sparse matrices -- Sparse vectors -- Sparse diagonal matrices -- Data arrays and data frames -- Dictionaries, sets, stacks, and queues -- Dictionaries -- Sets -- Stacks and queues -- Summary -- Chapter 3: The Julia Type System -- More about functions -- The do syntax -- First-class objects -- Closures and currying -- Passing arguments -- Default and optional arguments -- Variable argument list -- Keyword arguments -- Scope -- The Queens problem -- Conversion between numbers and strings -- Derived and composite types

Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations. Julia as a Second Language covers: How Julia implements data types such as numbers, strings, arrays, and dictionariesSolving problems with both object-oriented and functional programmingGetting immediate feedback with Julia's read-evaluate-print-loop (REPL)Taking advantage of Julia's powerful multiple dispatch systemSharing code using modules and packages Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript [...]