Demonstrates the programming language's strength as a Web development tool, covering syntax, data types, built-ins, the Python standard module library, and real world examples

    Revolution in the Valley traces this vision back to its earliest roots: the hallways and backrooms of Apple, where the groundbreaking Macintosh computer was born. The book traces the development of the Macintosh, from its inception as an underground skunkworks project in 1979 to its triumphant introduction in 1984 and beyond.The stories in "Revolution in the Valley" come on extremely good authority. That's because author Andy Hertzfeld was a core member of the team that built the Macintosh system software, and a key creator of the Mac's radically new user interface software. One of the chosen few who worked with the mercurial Steve Jobs, you might call him the ultimate insider.When "Revolution in the Valley" begins, Hertzfeld is working on Apple's first attempt at a low-cost, consumer-oriented computer: the Apple II. He sees that Steve Jobs is luring some of the company's most brilliant innovators to work on a tiny research effort the Macintosh. Hertzfeld manages to make his way onto the Macintosh research team, and the rest is history.Through lavish illustrations, period photos, and Hertzfeld's vivid first-hand accounts, Revolution in the Valley reveals what it was like to be there at the birth of the personal computer revolution. The story comes to life through the book's portrait of the talented and often eccentric characters who made up the Macintosh team. Now, over 20 years later, millions of people are benefiting from the technical achievements of this determined and brilliant group of people.

    Wells to the press releases of NASA, we are awash in clich�d claims about high technology's ability to change the course of history. Now, in The Shock of the Old, David Edgerton offers a startling new and fresh way of thinking about the history of technology, radically revising our ideas about the interaction of technology and society in the past and in the present. He challenges us to view the history of technology in terms of what everyday people have actually used-and continue to use-rather than just sophisticated inventions. Indeed, many highly touted technologies, from the V-2 rocket to the Concorde jet, have been costly failures, while many mundane discoveries, like corrugated iron, become hugely important around the world. Edgerton reassesses the significance of such acclaimed inventions as the Pill and information technology, and underscores the continued importance of unheralded technology, debunking many notions about the implications of the information age. A provocative history, The Shock of the Old provides an entirely new way of looking historically at the relationship between invention and innovation.

    It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of "data science" for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (or MOOC) offered by the pioneering MIT--Harvard collaboration edX.Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming.Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.

    

    It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.