SHARPEN YOUR CODING SKILLS If an easy-to-read guide on one of the most popular coding languages is what you need, look no further. C# 'X' All in One For Dummies will teach aspiring coders, and professionals looking to refresh on C#, all the basics of this language. Get an intro to Visual Studio, learn object-oriented C# programming, and join a community dedicated to this language.Updates:- Fully updated for the newest edition of C# (9.0)Records Init only setters Top-level statements Pattern matching enhancements Performance and interop Native sized integers Function pointers Fit and finish features Target-typed new expressions static anonymous functions Target-typed conditional expressions Covariant return types Extension GetEnumerator support for foreach loops Lambda discard parameters Attributes on local functions Module initializers New features for partial methods - More examples & code snippets- Updated for use with Windows 10
John Paul Mueller Libri






The collection features key essays by Professor John Mueller, focusing on the intricate relationship between war, ideas, and public opinion. Each essay is accompanied by updated notes and commentary that provide deeper insights into his arguments, making it a significant resource for understanding the impact of ideas on conflict.
Data Science Programming All-in-One For Dummies
- 608pagine
- 22 ore di lettura
A compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time--
Python for Data Science for Dummies
- 496pagine
- 18 ore di lettura
The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
Get ready for C++20 with all you need to know for complete mastery! Your comprehensive and updated guide to one of the world’s most popular programming languages is here! Whether you’re a novice or expert, you’ll find what you need to get going with the latest features of C++20. The workhorse of programming languages, C++ gives you the utmost control of data usage and interface and resource allocation. If your job involves data, proficiency in C++ means you’re indispensable! This edition gives you 7 books in 1 for total C++ mastery. Inside, internationally renowned expert John Paul Mueller takes you from the fundamentals of working with objects and classes to writing applications that use paradigms not normally associated with C++, such as those used for functional programming strategies. The book also includes online resources such as source code. You discover how to use a C++ GNU compiler to build applications and even how to use your mobile device for coding. Conquer advanced programming and troubleshooting Streamline your code with lambda expressions Use C++ where you need it: for gaming, enterprise applications, and Web services Uncover object secrets including the use of design patterns Discover how to use functional programming techniques to make code concise and easy to read If you want to be your organization’s C++ guru, C++ All-In-One for Dummies is where it’s at!
Overblown
How Politicians and the Terrorism Industry Inflate National Security Threats, and Why We Believe Them
- 272pagine
- 10 ore di lettura
Exploring the surprising absence of terrorist attacks in the U.S. since 9/11, the book delves into the complexities of security and motivation behind terrorism. It questions the effectiveness of the Department of Homeland Security and the impact of the Iraq war on global extremism. By examining historical patterns of attacks, the author seeks to uncover the underlying reasons for this lull, challenging common assumptions and highlighting the ongoing threat posed by individuals willing to carry out violence.
This innovate argument shows how increased aversion to international war over the last century has caused countries to no longer view war as a way to resolve differences. Undergraduates and interested readers will consider complacency and appeasement as productive diplomatic devices and discover why a large military force is no longer necessary.
"MATLAB for Dummies" guides you through this complex computational language from installation to visualization to automation. Learn MATLAB's language fundamentals, including syntax, operators, and data types. Understand how to use the most important window in MATLAB: the command window. Get the basics of linear algebra to get up and running with vectors, matrices, and hyperspace. Automate your work with programming scripts and functions. Plot graphs in 2D and 3D to visualize your data
John P. Mueller demonstrates how you can fine-tune your skill set to create an elegant design that will scale well and produce reliable, speedy, secure, and efficient code. You'll explore several applications and design strategies using C# and you'll learn the best approaches for various system configurations.
Professional IronPython
- 457pagine
- 16 ore di lettura
Thorough coverage of Microsoft’s new dynamic programming language: IronPython IronPython is a powerful and vital part of any .NET developer's toolbox, and although it is several years old, very little literature exists on the topic. This essential resource fills that void and provides you with an in-depth understanding of IronPython. A brief introduction walks you through the installation, usage, and tools of IronPython and also explains what makes IronPython different from other programming languages. Coverage quickly moves on to explaining how to use and work with the IronPython language, and an in-depth look at its environment sheds light on how it can be stand alone or with the .NET Framework. You'll see how IronPython can be used to create either desktop or Web-based applications and you’ll witness how it interacts with other existing technologies. In addition, coverage of advanced topics shares techniques for extending IronPython and making it a robust language. You'll want to devour every topic covered in Professional IronPython so you can get started working with this powerful programming language today.