Programming and scripting languages: general Books

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisThis work discusses the most widely-used programming languages and their functional pros and cons for application and development. Coverage includes a brief overview of programming languages principles and concepts; and numerous diagrams, charts and sample programs.Table of ContentsIntroduction. Language Elements and Design Concepts. Ada. BASIC. C. COBOL. FORTRAN. Pascal. LISP. PROLOG. Object-Oriented Programming. C++. Visual Programming. Mixed-Language Programming. Historical Perspective. Epilogue. Appendices.

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Book SynopsisTHIS ISN''T THE EDITION YOU''RE LOOKING FOR! The 5th edition of this book is now available.The book in your hands is a different kind of programming book. Like an entertaining video game, programming is an often challenging but always rewarding experience. This book shakes off the dusty, dull, dryness of the typical programming book, replacing it with something more exciting and flavorful: a bit of humor, a casual tone, and examples involving dragons and asteroids instead of bank accounts and employees.And since you learn to program by doing instead of just reading, this book contains over 100 hands-on programming challenges. You will be building software instead of just reading about it. By completing the challenges, you''ll earn experience points, level up, and become a True C# Programmer!This book covers the C# language from the ground up. It doesn''t assume you''ve been programming for years, but it also doesn''t hold back on exciting, powerful language features. The journey begins by getting you set up to program in C#. We will then explore the basic mechanics of C#: statements, expressions, variables, if statements, loops, and methods. Next, we dive deep into a powerful and central feature of C#: object-oriented programming, which is an essential tool needed to build larger programs. We then look at the advanced C# features that make the language unique, elegant, and powerful. With this book as your companion, you will soon be off to save the world (or take it over) with your own C# programs!

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Book SynopsisThe bash shell is a complete programming language, not merely a glue to combine external Linux commands. By taking full advantage of shell internals, shell programs can perform as snappily as utilities written in C or other compiled languages. And you will see how, without assuming Unix lore, you can write professional bash 4.0 programs through standard programming techniques. Complete bash coverage Teaches bash as a programming language Helps you master bash 4.0 features Table of Contents Hello, World! Your First Shell Program Input, Output, and Throughput Looping and Branching Command-Line Parsing and Expansion Parameters and Variables Shell Functions String Manipulation File Operations and Commands Reserved Words and Builtin Commands Writing Bug-Free Scripts and Debugging the Rest Programming for the Command Line Runtime Configuration Data Processing Scripting the Screen Entry-Level Programming

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Book SynopsisSudoku Programming with C teaches you how to write computer programs to solve and generate Sudoku puzzles. However, the author wanted to include a solving program capable of listing the strategies necessary to solve any particular puzzle.Table of Contents1. Modelling a Sudoku Puzzle in C2. The Strategies3. Main Program and Utilities4. Implementing 'unique'5. Implementing 'naked' Strategies6. Implementing 'hidden' Strategies7. Implementing 'box-line'8. Implementing 'pointing-line'9. Implementing 'lines' Strategies10. Implementing 'Y-wing'11. Implementing 'XY-chain'12. Implementing 'rectangle'13. Implementing 'backtrack'14. Solving Thousands of Puzzles15. Generating Sudokus16. Puzzle Statistics17. Puzzles18. Samurai SudokusA. Eclipse CDTB. Puzzle SolutionsC. Abbreviations and AcronymsD. Strategy Index

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Table of Contents1. Introduction2. Monte Carlo Simulation and Density Functions3. Linear Algebra4. Gradient Descent5. Working with Data6. Exploring Data

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Table of Contents1. Introduction to PHP 82. Interfaces, Platforms, Containers: Three-Tiers Programming3. Modular Programming4. Secure User Interfaces5. Handling and Logging Exceptions6. Data Objects7. Authentication8. Multi-functional Interfaces

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Table of ContentsChapter 1: Introduction1. Who is this book for?2. Why ontologies?3. Why Python?4. Why Owlready?5. Book outline6. AcknowledgementsChapter 2: Python Language: Adopt a Snake! 1. Installing Python2. Starting Python3. Syntax 4. Main datatypes5. Conditions (if)6. Loops (for) 7. Generators8. Functions (def) 9. Classes (class) 10. Python modules11. Installing Owlready212. SummaryChapter 3: OWL Ontologies 1. An ontology... what does it look like?2. Creating ontologies manually with the Protégé editor3. Example: An ontology of bacteria4. Creating a new ontology• Classes• Disjoints• Partitions • Data properties• Object properties • Restrictions • Union, intersection, and complement• Definitions (equivalent to relations)• Individuals • Other constructs 5. Automatic reasoning6. Modeling exercises7. SummaryChapter 4: Accessing Ontologies in Python 1. Importing Olwready2. Loading an ontology 3. Imported ontologies4. Listing the content of the ontology 5. Accessing to entities • Individuals • Relations • Classes• Existential restrictions • Properties 6. Searching for entities 7. Huge ontologies and disk cache 8. Namespaces 9. Modifying entity rendering as text 10. Local directory of ontologies 11. Reloading an ontology in the quadstore 12. Example: Creating a dynamic website from an ontology13. SummaryChapter 5: Creating and Modifying Ontologies in Python 1. Creating an empty ontology 2. Creating classes 3. Creating properties 4. Creating individuals 5. Modifying entities: Relations and existential restrictions6. Creating entities within a namespace7. Renaming entities (refactoring)8. Multiple definitions and forward declarations9. Destroying entities 10. Destroying an ontology11. Saving an ontology12. Importing ontologies 13. Synchronization 14. Example: Populating an ontology from a CSV file15. SummaryChapter 6: Constructs, Restrictions, Class Properties 1. Creating constructs 2. Accessing constructs parameters 3. Restrictions as class properties 4. Defined classes 5. Example: Creating the ontology of bacteria in Python6. Example: Populating an ontology with defined classes7. SummaryChapter 7: Automatic Reasoning 1. Disjoints 2. Open-world assumption3. Reasoning in a closed world, or in a local closed world4. Inconsistent classes and inconsistent ontologies5. Restriction and reasoning on numbers and strings 6. SWRL rules 7. Example: An ontology-based decision support system8. SummaryChapter 8: Annotations, Multilingual Texts and Full Text Search 1. Annotating entities2. Multilingual texts3. Annotating constructs4. Annotating properties and relations 5. Creating new annotation classes6. Ontology metadata 7. Full text search 8. Example: Using DBpedia in Python • Loading DBpedia • A search engine for Dbpedia9. SummaryChapter 9: Using Medical Terminologies with PyMedTermino and UMLS 1. UMLS 2. Importing terminologies from UMLS 3. Loading terminologies after initial importation 4. Using ICD10 5. Using SNOMED CT6. Using UMLS unified concepts (CUI)7. Transcoding between terminologies8. Manipulating sets of concepts 9. Importing all terminologies in UMLS10. Example: Linking the ontology of bacteria with UMLS11. Example: A multi-terminology browser12. SummaryChapter 10: Mixing Python and OWL 1. Adding Python methods to OWL classes 2. Associating a Python module to an ontology• Manual import • Automatic import 3. Polymorphism with type inference 4. Introspection 5. Reading restrictions backward 6. Example: using Gene Ontology and managing part-of relations7. Example: A “dating site” for proteins8. SummaryChapter 11: Working with RDF Triples and Worlds 1. RDF triples2. Manipulating RDF triples with RDFlib 3. Performing SPARQL requests 4. Accessing RDF triples with Owlready5. Interrogating the SQLite3 database directly6. Creating several, isolated, world7. SummaryAnnex A: Description logicsAnnex B: Notations for formal ontologiesAnnex C: Reference manual

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Book SynopsisThis book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI. Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. You'll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with Table of Contents

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