If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms. Inside, you'll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains.

Each recipe contains code samples you can u...

Learn from F#'s inventor to become an expert in the latest version of this powerful programming language so you can seamlessly integrate functional, imperative, object-oriented, and query programming style flexibly and elegantly to solve any programming problem. Expert F# 4.0 will help you achieve unrivaled levels of programmer productivity and program clarity across multiple platforms including Windows, Linux, Android, OSX, and iOS as well as HTML5 and GPUs. F# 4.0 is a mature, open source, ...

This textbook is aimed at readers who have little or no knowledge of computer programming but want to learn to program in Python. It starts from the very basics including how to install your Python environment, how to write a very simple program and run it, what a variable is, what an if statement is, how iteration works using for and while loops as well as important key concepts such as functions, classes and modules. Each subject area is prefaced with an introductory chapter, before continu...

Explains how to incorporate effective domain modeling into the software development process. This book offers readers a systematic approach to domain-driven design, presenting a set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains.

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. 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 as well as substantial material on machine learning.

The bo...

For undergraduate students in Computer Science and Computer Programming courses A solid foundation in the basics of C++ programming will allow students to create efficient, elegant code ready for any production environment. Learning basic logic and fundamental programming techniques is essential for new programmers to succeed. A distinctive fundamentals-first approach and clear, concise writing style characterize Introduction to Programming with C++, 3/e.

Basic programming concepts are introd...