Reading this book will allow you to:
i) Understand the basic concepts of Visual
Basic 2017 programming
ii) Create your own Visual Basic 2017 applications
iii) Get inspiration from a variety of
interesting sample programs
iv) Modify the code samples easily to suit your
v) Learn how to package and distribute
About the Author
Dr. Liew Voon Kiong holds a bachelor’s degree in Mathematics, a master’s degree in Management and a doctorate in Business Administration. He has been involved in Visual Basic programming for more than 20 years. He created the popular online Visual Basic Tutorial at www.vbtutor.net, which has attracted millions of visitors since 1996. It has consistently been one of the highest ranked Visual Basic websites.
To provide more support for Visual Basic students, teachers, and hobbyists, Dr. Liew has written this book to complement the free Visual Basic 2017 tutorial with much more content. He is also the author of the Visual Basic Made Easy series, which includes Visual Basic 6 Made Easy, Visual Basic 2008 Made Easy, Visual Basic 2010 Made Easy, Visual Basic 2013 Made Easy and Excel VBA Made Easy. Dr. Liew’s books have been used in high school and university computer science courses all over the world.
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work
New C++11 Coverage
1: Getting Started with C++
2: Setting Out to C++
3: Dealing with Data
4: Compound Types
5: Loops and Relational Expressions
6: Branching Statements and Logical Operators
7: Functions: C++’s Programming Modules
8: Adventures in Functions
9: Memory Models and Namespaces
10: Objects and Classes
11: Working with Classes
12: Classes and Dynamic Memory Allocation
13: Class Inheritance
14: Reusing Code in C++
15: Friends, Exceptions, and More
16: The string Class and the Standard Template Library
17: Input, Output, and Files
18: The New C++11 Standard
A Number Bases
B C++ Reserved Words
C The ASCII Character Set
D Operator Precedence
E Other Operators
F The stringTemplate Class
G The Standard Template Library Methods and Functions
H Selected Readings and Internet Resources
I Converting to ISO Standard C++
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You’ll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.
Major topics covered includeParallel programming Thread cooperation Constant memory and events Texture memory Graphics interoperability Atomics Streams CUDA C on multiple GPUs Advanced atomics Additional CUDA resources
All the CUDA software tools you’ll need are freely available for download from NVIDIA.
You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.
With this book, you’ll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills
Reading this book will allow you to:
Understand the basic concepts of Visual Basic 2012 programming
Create your own Visual Basic 2012 applications from scratch
Get inspiration from a variety of interesting sample programs
Modify the code samples easily to suit your needs
Learn how to package and distribute your applications
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i) Understand the basic concepts of Visual Basic 2008 programming
ii) Create your own Visual Basic 2008 programs right from the beginning
iii) Get programming ideas from many interesting sample programs.
iv) Modify the codes easily to suit your needs.
v) Learn how to package and distribute your applications.