Compilers: Principles, Techniques and Tools, is known to professors, students, and developers worldwide as the "Dragon Book," . Every chapter has been revised to reflect developments in software engineering, programming languages, and computer architecture that have occurred since 1986, when the last edition published. The authors, recognising that few readers will ever go on to construct a compiler, retain their focus on the broader set of problems faced in software design and software devel...

Describes how to improve your software development by integrating accountability, transparency and responsibility into your daily development process. This book helps you how to: involve the whole team; increase technical collaboration through pair programming and continuous integration; reduce defects through developer testing; and more.

Revised edition of: The OpenGL ES 2.0 programming guide / Aaftab Munshi, Dan Ginsburg, Dave Shreiner. 2009.

From the moment it was published almost ten years ago, Elements of User Experience became a vital reference for web and interaction designers the world over, and has come to define the core principles of the practice. Now, in this updated, expanded, and full-color new edition, Jesse James Garrett has refined his thinking about the Web, going beyond the desktop to include information that also applies to the sudden proliferation of mobile devices and applications.

Successful interaction design...

The world's most infamous hacker offers an insider's view of the low-tech threats to high-tech security. Kevin Mitnick's exploits as a cyber-desperado and fugitive form one of the most exhaustive FBI manhunts in history and have spawned dozens of articles, books, films, and documentaries. Since his release from federal prison, in 1998, Mitnick has turned his life around and established himself as one of the most sought-after computer security experts worldwide.

Now, in "The Art of Deception",...

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent s...