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This quick guide to regular expressions is a condensed code and syntax reference for an important programming technique. Using JavaScript and Perl 6 code, it demonstrates regex syntax in a well-organized format that can be used as a handy reference. The Regex Quick Syntax Reference features short, focused code examples that show you how to use regular expressions to validate user input, split strings, parse input, and match patterns. Utilizing regular expressions to deal with search/replace and filtering data for backend coding is also covered. You won’t find any bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise and highly accessible. The book is packed with useful information and is a must-have for any programmer. You will: Formulate an expression Work with arbitrary char classes, disjunctions, and operator precedence Execute regular expressions and visualize using finite state machines Deal with modifiers, including greedy and lazy loops Handle substring extraction from regex using Perl 6 capture groups, capture substrings, and reuse substrings .

JavaScript (Computer program language) --- Domain-specific programming languages --- Object-oriented programming languages --- Scripting languages (Computer science) --- Computer science. --- Software engineering. --- Computer programming. --- Programming Languages, Compilers, Interpreters. --- Programming Techniques. --- Software Engineering. --- Web Development. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Computer software engineering --- Engineering --- Informatics --- Science --- Programming --- Programming languages (Electronic computers). --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial

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"Great Expectations and Postwar Realities is an examination of the practice variously referred to as 'cultural diplomacy,' 'self-advertisement,' 'image cultivation,' 'image projection,' 'public relations,' 'soft power,' 'nation-branding,' 'perception management,' 'national reputation management,' and, most recently, 'public diplomacy.' By investigating the intersection of diplomacy, national identity construction, and cultural production, my study evaluates the promises and limitations of interwar Hungarian cultural diplomacy. It asks two questions: What was the value of such practices when employed by a state that lacked material and non-material power? In which ways did the country's cultural-diplomatic endeavors contribute to its postwar nation-building project? In posing these questions, Great Expectations and Postwar Realities, while rooted in Hungary, examines larger themes such as the nature of interwar international relations and the complexities of national identity construction. Hungarian cultural diplomacy had a great impact, if for different reasons than historians have often thought. For while cultural diplomacy helps us to understand the ways in which small states exploited the gaps in the international system, its most enduring achievements are connected with domestic development"--Introduction.

Nationalism --- Cultural diplomacy --- Consciousness, National --- Identity, National --- National consciousness --- National identity --- International relations --- Patriotism --- Political science --- Autonomy and independence movements --- Internationalism --- Political messianism --- Cultural relations --- Diplomacy --- History --- Hungary --- Cultural policy. --- Politics and government --- Foreign relations --- Cultural studies, Diplomatic history, Film, Hungary, Identity, Tourism. --- Cultural diplomacy-Hungary-History-20th century. --- Nationalism-Hungary-History-20th century. --- Hungary-Foreign relations-1918-1945.

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Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning algorithms Explore neural networks in detail with interesting examples Master core AI concepts with engaging activities Book Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learn Understand the importance, principles, and fields of AI Implement basic artificial intelligence concepts with Python Apply regression and classification concepts to real-world problems Perform predictive analysis using decision trees and random forests Carry out clustering using the k-means and mean shift algorithms Understand the fundamentals of deep learning via practical examples Who this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it's recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).

Artificial intelligence. --- Machine learning.

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