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Instead of jumping right into the instructions, this book will provide you first with all the necessary concepts that you need to learn in order to make the learning process a whole lot easier. This way, you're sure not to get lost in confusion once you get to the more complex lessons provided in the latter chapters. You will also learn the designs and forms of Parallel, and what's more convenient than getting to know both sides! Read more

Originally published in 1981, this was the first textbook on programming in the Prolog language and is still the definitive introductory text on Prolog. Though many Prolog textbooks have been published since, this one has withstood the test of time because of its comprehensiveness, tutorial approach, and emphasis on general programming applications.Prolog has continued to attract a great deal of interest in the computer science community, and has turned out to be a basis for an important new generation of programming languages and systems for Artificial Intelligence. Since the previous edition of Programming in Prolog, the language has been standardised by the International Organization for Standardization (ISO) and this book has been updated accordingly. The authors have also introduced some new material, clarified some explanations, corrected a number of minor errors, and removed appendices about Prolog systems that are now obsolete. Read more

Mastering Prolog: The Power of Logic Programming is your departure point into the fascinating world of Prolog—a language that's not just another tool, but your key to unlocking the immense power of logic programming.This comprehensive guide takes the essence of Prolog and presents it in an approachable manner tailored for both novice programmers and seasoned coders. It distills the complex syntax and operations into easily understandable chapters, preventing the sensation of information overload.Mastering Prolog: The Power of Logic Programming is structured into ten thoughtfully curated chapters:Starting with Prolog: Understanding Logic ProgrammingEssential Syntax and Operations in PrologUnleashing Recursion and Backtracking in PrologData Structures in Prolog: Lists and TreesProlog Rules: Writing Efficient PredicatesExploring the Prolog Building Blocks: Facts, Rules, and QueriesException Handling and Debugging in PrologAdvanced Techniques: Meta-Predicates and Constraint Logic ProgrammingProlog in Practice: Real-World ApplicationsThe Future of Prolog: Emerging Trends and OpportunitiesCompiled by Stephen Graham, a self-taught authority in the field, this book embodies his passion for technology and his commitment to making logical programming accessible to all.Begin your journey with us, and equip yourself with the knowledge and tools needed to conquer the world of logic programming. No matter where you are on your programming journey, Mastering Prolog: The Power of Logic Programming is here to guide you every step of the way. Read more

The aim of this book is to help anyone struggling to learn prolog, or how to solve problems with Prolog.Our journey starts with simple facts and queries, and progresses through variables, deduction, tracing, query order and efficiency, recursion, termination and non-termination, the cut, negation as failure, and ends with the development of a simple but powerful prolog meta-interpreter.This book takes a different approach to other guides. Here we:Develop understanding by exploring, hands-on, a progression of bite-size examples.Introduce relevant theory as we go along, and not accumulate lots of it up front.Keep our examples minimal to avoid being distracted by unnecessary code.Limit the topics we cover to those that are central to prolog.Take all the time and space needed to talk through how new ideas work, step-by-step.Avoid terminology and jargon if it is likely to hinder more than help newcomers to prolog.Despite its age, its simplicity and power has kept Prolog a living language through to today. It is not just a language taught as part of university computer science and artificial intelligence courses. It is a language people actively seek out and learn because it is a joy to use. Read more

This best-selling guide to Prolog and Artificial Intelligence, which has been updated to include key developments in the field, concentrates on the art of using the basic mechanisms of Prolog to solve interesting AI problems. Combined approach to Prolog and AI allows flexibility for learning and teaching. Provides a thorough representation of AI, emphasizing practical techniques and Prolog implementations. Prolog programs for use in projects and research are available for download from the companion website http://www.pearsoned.co.uk/bratko Read more

About This BookThis book covers all basic Python syntaxes ( 400 examples, 400 outputs, 400 explanations ). We can quickly reference the most helpful programming syntaxes, such as common command syntax, string function syntax, collection function syntax, class & object syntax……; all these syntaxes are very useful for programming.We can take this book as a basic syntax manual because its entries are arranged alphabetically so that we can easily reference the important syntax.Nowadays or future, the Python Syntax Book can provide great help for coding both in our study and our work.Where can you find a book with more than 400 examples, more than 400 outputs, and more than 400 explanations in the world?------ Only right here!Table of Contents (fram a to z)abs() syntax:add() syntax:all() syntax:and syntax:any() syntax:append syntax:append() syntax:as syntax:ascii() syntax:assert() syntax:bin() syntax:bool() syntax:break syntax:bytearray() syntax:bytes() syntax:calendar syntax:callable() syntax:capitalize() syntax:casefold() syntax:casting syntax:ceil() syntax:center() syntax:character syntax:chdir syntax:chr() syntax:class syntax:class BaseClass syntax:clear() syntax:close syntax:command prompt syntax:comment syntax:compile() syntax:complex() syntax:connect lists syntax:connect strings syntax:continue syntax:convert data type syntax:copy() syntax:count() syntax:count() syntax:decode() syntax:def functionName( ) syntax:def functionName(arguments) syntax:del syntax:delattr() syntax:def main( )syntax:del myVariable syntax:demjson.decode(json) syntax:demjson.encode(data) syntax:dict() syntax:dict.keys()dict.values()dictionary syntax:difference() syntax:difference_update() syntax:dir() syntax:directory syntax:discard() syntax:divmod() syntax:double quotes syntax:dumps() syntax:elif syntax:else syntax:encode() syntax:endwith() syntax:enumerate() syntax:environment variable syntax:evel() syntax:except syntax:exception syntax:exec() syntax:expandtabs() syntax:extend() syntax:file syntax:file.close() syntax:fileno() syntax:filter() syntax:finally syntax:find() syntax:findall() syntax:finditer() syntax:float() syntax:floor() syntax:format printing syntax:from anotherFile import* syntax:from module import * syntax:fromkeys() syntax:frozenset() syntax:function syntax:function with arguments syntax:get() syntax:getattr() syntax:getcwd() syntax:global syntax:hasattr() syntaxhash() syntax:help() syntax:header syntax:hex() syntax:http syntax:id() syntax:if syntax:if syntax:if-elif syntax:if / else syntax:import file syntax:import calendar syntax:import module syntax:import os syntax:import re syntax:import smtplib syntax:........................zfill() syntax:zip() syntax:and much more......AppendixArithmetic Operator ChartAssignment Operators ChartComparison Operators ChartLogical Operators ChartBitwise OperatorsConvert Data Type ChartMath Function ChartList Functions ChartTuple Functions ChartSet Functions ChartDictionary Functions ChartData Structure Difference ChartEscape Characters ChartOperation Strings ChartTesting Functions ChartFormatting Functions ChartStripping Functions ChartSplitting Functions ChartSearching Functions ChartString Functions (1) ChartString Functions (2) ChartRegular Expressions ChartFormat String ChartOpen File’s Mode Chart Read more

The aim of this book is to help anyone struggling to learn prolog, or how to solve problems with Prolog.Our journey starts with simple facts and queries, and progresses through variables, deduction, tracing, query order and efficiency, recursion, termination and non-termination, the cut, negation as failure, and ends with the development of a simple but powerful prolog meta-interpreter.This book takes a different approach to other guides. Here we:Develop understanding by exploring, hands-on, a progression of bite-size examples.Introduce relevant theory as we go along, and not accumulate lots of it up front.Keep our examples minimal to avoid being distracted by unnecessary code.Limit the topics we cover to those that are central to prolog.Take all the time and space needed to talk through how new ideas work, step-by-step.Avoid terminology and jargon if it is likely to hinder more than help newcomers to prolog.Despite its age, its simplicity and power has kept Prolog a living language through to today. It is not just a language taught as part of university computer science and artificial intelligence courses. It is a language people actively seek out and learn because it is a joy to use. Read more

The machine learning capabilities of today's AI are extremely exciting, but they are only one part of the architecture of today's systems. For example, self-driving car technology uses machine learning to interpret the visual field around a car, but it's good old fashioned rule-based AI that contains the plans on what to do with that information.Similarly, the phenomenal program that plays Go at a master level uses machine learning to evaluate board positions (very difficult for a machine to do) but uses conventional AI for deciding what to do with that information.Written a number of years ago, Building Expert Systems in Prolog is still a classic text on knowledge engineering. The name might be a bit misleading, as it's not so much about building expert systems, but rather on building the knowledge representation and reasoning engine tools used for various types of expert system applications. (Including, of course, examples of each kind of system.)As such, it provides details and working code for identification systems, systems that need to cope with uncertainty, forward-chaining planning and configuration systems, frames for representing complex layers of information, and ideas for prototyping/implementing any way of representing knowledge and algorithms for reasoning over that knowledge.The text is a bit more general than just a Prolog text. Yes, all the code for implementing these systems is written in Prolog, but Prolog is more than just an implementation language. Because it is logic programming, a Prolog program is really a logical specification of an application. Yes it runs, but it can also be used for rapid prototyping, and the Prolog code itself can be used to precisely specify how to implement the system in any other language.In other words, the architectures of these systems will be the same, no matter what language they are implemented in, and the use of Prolog for rapid prototyping is covered in the book as well. Read more

The world of machine learning is changing all the time. It is so amazing the idea that we are able to take a computer and let it learn as it goes. Without having to write out all of the codes that we need for every situation out there or every input that the user may pick, we are able to write out codes in machine learning, even with Python, in order to let the computer or device learn and make decisions on its own. This guidebook is going to take a closer look at how Python machine learning is able to work, as well as how you can use some of the tools and techniques that come with this process for your own needs. When you are interested in learning more about what machine learning is all about, as well as how you can use a part of the coding from Python inside of this process, then this guidebook is the tool for you! Some of the topics that we will explore when we go through this guidebook will - Understanding some of the basics of machine learning;- Some of the different parts that you need to know to get started with machine learning and the Python language;- Understanding the Scikit-Learn library, and why it is so important to work with this type of library;- How to work with the K-Nearest Neighbors algorithm;- What are support vector machines, random forest algorithm, and recurrent neural networks;- What are linear classifiers;- How K-Means clustering is going to be different from KNN;- Other great things that you are able to do with Python Machine Learning. The field of machine learning is growing exponentially-and with the help of Python and all of the cool tools and libraries that come with it, you will find that there are endless possibilities of what you will be able to do with it Read more

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This book is for people who have done some programming, either in Prolog or in a language other than Prolog, and who can find their way around a reference manual. The emphasis of this book is on a simplified and disciplined methodology for discerning the mathematical structures related to a problem, and then turning these structures into Prolog programs. This book is therefore not concerned about the particular features of the language nor about Prolog programming skills or techniques in general. A relatively pure subset of Prolog is used, which includes the 'cut', but no input/output, no assert/retract, no syntactic extensions such as if­ then-else and grammar rules, and hardly any built-in predicates apart from arithmetic operations. I trust that practitioners of Prolog program­ ming who have a particular interest in the finer details of syntactic style and language features will understand my purposes in not discussing these matters. The presentation, which I believe is novel for a Prolog programming text, is in terms of an outline of basic concepts interleaved with worksheets. The idea is that worksheets are rather like musical exercises. Carefully graduated in scope, each worksheet introduces only a limited number of new ideas, and gives some guidance for practising them. The principles introduced in the worksheets are then applied to extended examples in the form of case studies. Read more

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This book covers the Prolog programming language thoroughly with an emphasis on building practical application software, not just theory. Working through this book, readers build several types of expert systems, as well as natural language processing software and utilities to read foreign file formats. This is the first book to cover ISO Standard Prolog, but the programs are compatible with earlier dialects of the language. Program files are available by FTP from The University of Georgia. Read more

The third edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics. Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. Prolog has its roots in logic, however the main aim of this book is to teach Prolog as a practical programming tool. This text therefore concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The third edition has been fully revised and extended to provide an even greater range of applications, which further enhance its value as a self-contained guide to Prolog, AI or AI Programming for students and professional programmers alike. Read more

This book covers the Prolog programming language thoroughly with an emphasis on building practical application software, not just theory. Working through this book, readers build several types of expert systems, as well as natural language processing software and utilities to read foreign file formats. This is the first book to cover ISO Standard Prolog, but the programs are compatible with earlier dialects of the language. Program files are available by FTP from The University of Georgia. Read more

"The Declarative Mind" challenges the traditional approach to programming by introducing a powerful alternative: declarative programming. Rather than telling computers how to solve problems step-by-step, what if we could simply describe what we want to achieve?In this thought-provoking exploration, a computer science professor guides readers through three fundamental declarative paradigms: functional programming, logic programming, and Answer Set Programming (ASP). This isn't just another programming book—it's an invitation to transform how you think about problem-solving in an age where AI and natural language processing are reshaping our interaction with computers.Drawing parallels between modern AI interactions and declarative thinking, this pocket-sized companion demonstrates why declarative approaches often lead to more elegant, maintainable solutions than their imperative counterparts. Perfect for experienced programmers, researchers, and technology enthusiasts, this book bridges the gap between theoretical computer science and the emerging future of human-computer interaction.Discover:• Why declarative programming matters in the age of AI• How knowledge engineering relates to modern prompt engineering• Fresh perspectives on functional and logic programming• The future of programming: expressing intentions rather than instructionsWhether you're a seasoned developer, academic researcher, or technology enthusiast, "The Declarative Mind" offers a compelling glimpse into a future where programming is less about how and more about what. Read more

Python Programming is designed as a textbook to fulfil the requirements of the first-level course in Python programming. It is suited for undergraduate degree students of computer science engineering, IT as well as computer applications. This book will enable students to apply the Python programming concepts in solving real-world problems. The book begins with an introduction to computers, problem solving approaches, programming languages, object oriented programming, and Python programming. Separate chapters dealing with the important constructs of Python language such as control statements, functions, strings, files, data structures, classes and objects, inheritance, operator overloading, and exceptions are provided in the book. Read more

MLOps with Python: Mastering LLM Deployment from Prototype to ProductionUnleash the power of large language models (LLMs) with MLOPs, the essential discipline for building, deploying, and managing these text-wielding titans. This book is your comprehensive guide to navigating the LLM landscape, equipping you with the Python skills and MLOps strategies to transform your prototypes into production powerhouses.Written by a seasoned MLOps engineer and seasoned LLM practitioner, this book draws on real-world experience and tangible insights to give you a practical roadmap for success. Forget theoretical jargon, expect actionable steps and proven best practices to guide your LLM journey.Summary of the Book:Dive deep into the MLOps lifecycle, mastering each stage from data preparation and model training to deployment and monitoring. Learn how to:Build robust LLM pipelines: Craft efficient data pipelines that fuel your models with high-quality text data.Train and fine-tune LLMs with confidence: Explore cutting-edge training techniques and fine-tuning strategies for optimal LLM performance.Deploy your LLM into the real world: Integrate your LLM seamlessly into applications and websites, ready to interact with users and unleash its texty magic.Monitor and maintain your LLM: Keep your language champion running smoothly with comprehensive monitoring and maintenance techniques.Embrace ethical considerations: Navigate the ethical landscape of LLMs, ensuring responsible and bias-free deployment.What's Inside:This book is your all-in-one LLM deployment toolkit, packed with:Clear, concise explanations: Demystify complex concepts with straightforward language and practical examples.Code snippets and practical exercises: Get hands-on experience with Python code and real-world scenarios.Case studies and success stories: Learn from the experiences of others and see how LLM deployment translates into tangible results.Bonus resources and cheat sheets: Keep valuable references and cheat sheets at your fingertips for quick access.About the Reader:Whether you're a data scientist eager to unlock the potential of LLMs, a software engineer tasked with integrating them into production systems, or a curious explorer venturing into the world of MLOPs, this book is your guide.This book is your investment in the future. By mastering LLM deployment, you'll be at the forefront of a transformative technology, ready to shape the future of communication, education, and more.Don't let your LLM prototypes languish in the lab. Grab your copy of MLOps with Python today and unlock the full potential of these text-powered titans! Turn your prototypes into production powerhouses and write your own chapter in the LLM revolution.Start your LLM deployment journey now! Read more