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Programming languages (Electronic computers) --- Visual programming languages (Computer science) --- Visual programming (Computer science) --- Semantics. --- Visual languages (Computer science) --- Computer programming --- Programming language semantics --- Semantics

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This is the ideal guide to walk you through Xcode and all the latest features Swift 3 has to offer. If you have picked up this book, chances are you know a little bit about Swift Programming. With Practical Swift you’ll develop an advanced understanding of the language that will enable you to create a reference guide using Xcode Playgrounds, one you can continue to grow throughout your iOS career. You’ll learn a myriad of skills and concepts, including topics such as Protocol Oriented Programming (POP), Architecture, Testing, and Generics. You’ll also see how Swift has evolved over the years. Practical Swift not only shows you how to code in a clean and concise manner, but also the why behind the code. Understanding why will be instrumental in your advancement as a Swift developer. Finally, all of your newfound knowledge will culminate in building your own iOS app!

Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- iOS --- Xcode (informatica) --- computers --- computerbesturingssystemen --- programmeren (informatica) --- programmeertalen --- OS (operating system) --- computerkunde --- Apple --- Apple computer. --- Computer programming. --- Programming languages (Electronic computers). --- Apple and iOS. --- Programming Techniques. --- Programming Languages, Compilers, Interpreters.

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Programming --- Java (informatica) --- Computer architecture. Operating systems --- Tools and techniques: decision tables; flow charts; modules and interfaces; programmer workbench; software libraries; structured programming; top-down programming; user interfaces (Software engineering) --- 681.3*D22 Tools and techniques: decision tables; flow charts; modules and interfaces; programmer workbench; software libraries; structured programming; top-down programming; user interfaces (Software engineering) --- Java (Computer program language) --- 005.133 --- 681.3*D15 --- 681.3*D22 --- 681.3*D3 --- 681.3*D15 Software: object-oriented programming --- Software: object-oriented programming --- 681.3*D3 Programming languages --- Programming languages --- Object-oriented programming languages --- JavaSpaces technology

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Programming --- programmeren (informatica) --- microprocessoren --- programmeertalen --- Computer architecture. Operating systems --- ARM --- microcontrollers --- Assembly languages (Electronic computers) --- Embedded computer systems --- Assembler language (Computer program language) --- Assembler languages (Electronic computers) --- Programming languages (Electronic computers) --- Programming. --- Assembler language (Computer program language).

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Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs. The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader's immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, the book can also be used by anyone who wants to perform a statistical data analysis. .

Statistical science --- Biomathematics. Biometry. Biostatistics --- Computer. Automation --- biomathematica --- biostatistiek --- informatica --- statistiek --- biometrie --- statistisch onderzoek --- Biometry. --- Computer science --- Programming languages (Electronic computers) --- Python (Llenguatge de programació) --- Estadística matemàtica --- Processament de dades --- Biometria --- Mathematics.