The Object Oriented Approach To Problem Solving And Machine Learning With Python
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The Object Oriented Approach To Problem Solving And Machine Learning With Python
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Author : Sujith Samuel Mathew
language : en
Publisher: CRC Press
Release Date : 2025-05-12
The Object Oriented Approach To Problem Solving And Machine Learning With Python written by Sujith Samuel Mathew and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Computers categories.
This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications. Start by solidifying your OOP foundation with clear explanations of core concepts such as use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub. This book doesn’t stop at the basics. Explore how OOP empowers fields such as data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation. Each chapter is designed for hands-on learning. You’ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects. Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.
Mastering Object Oriented Programming
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Object Oriented Programming written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Embark on a Profound Journey to "Mastering Object-Oriented Programming" In a dynamic world of software development, mastering the art of object-oriented programming (OOP) is pivotal for creating robust, scalable, and maintainable code that powers modern applications. "Mastering Object-Oriented Programming" is your comprehensive guide to navigating the intricate world of OOP principles, design patterns, and best practices. Whether you're a seasoned developer or an aspiring programmer, this book equips you with the knowledge and skills needed to excel in crafting efficient and elegant software solutions. About the Book: "Mastering Object-Oriented Programming" takes you on a transformative journey through the intricacies of OOP, from foundational concepts to advanced techniques. From classes and inheritance to polymorphism and design patterns, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of OOP principles and practical applications in real-world scenarios. Key Features: · Foundational Understanding: Build a solid foundation by comprehending the core principles of object-oriented programming, including classes, objects, and encapsulation. · Inheritance and Polymorphism: Explore the power of inheritance and polymorphism, understanding how to create hierarchical class structures and achieve code reuse. · Abstraction and Encapsulation: Master the art of abstraction, encapsulation, and information hiding for designing clean and maintainable code. · Design Patterns: Dive into essential design patterns, such as Singleton, Factory, Observer, and more, understanding how to apply them to solve common programming challenges. · Object-Oriented Analysis and Design: Learn techniques for analyzing and designing software systems using UML diagrams, use cases, and design principles. · SOLID Principles: Gain insights into the SOLID principles of OOP—Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion—and how they contribute to modular and extensible code. · Testing and Debugging: Explore strategies for unit testing, debugging, and code optimization in the context of object-oriented programming. · Challenges and Trends: Discover challenges in software development, from code maintainability to architectural considerations, and explore emerging trends shaping the future of OOP. Who This Book Is For: "Mastering Object-Oriented Programming" is designed for developers, programmers, software engineers, students, and anyone passionate about writing efficient and maintainable code. Whether you're aiming to enhance your skills or embark on a journey toward becoming an OOP expert, this book provides the insights and tools to navigate the complexities of object-oriented programming. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
An Introduction To Python Programming A Practical Approach
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Author : Dr. Krishna Kumar Mohbey
language : en
Publisher: BPB Publications
Release Date : 2021-08-26
An Introduction To Python Programming A Practical Approach written by Dr. Krishna Kumar Mohbey and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-26 with Computers categories.
step-by-step approach to Python programming with machine learning fundamental and theoretical principles. KEY FEATURES ● Introduces readers to Python programming in a very simple way. ● Extensive practical demonstration of Python concepts using numerous examples. ● Implementation of machine learning in Python using hands-on techniques. DESCRIPTION The book ‘Introduction to Python Programming: A Practical Approach’ lays out a path for readers who want to pursue a career in the field of computer software development. It covers the fundamentals of Python programming as well as machine learning principles. Students will benefit from the examples that are included with each concept, which will aid them in understanding the concept. This book provides a practical understanding of Python programming using numerous programs and examples. It also develops problem-solving and code-writing abilities for the readers. This book covers Python fundamentals, operators, and data structures such as strings, lists, dictionaries, and tuples. It also contains information on file and exception handling. The implementation of a machine learning model has also been included in this book. With the help of this book, students and programmers can improve their programming skills as well as their ability to sprint towards a rewarding career. WHAT YOU WILL LEARN ● Learn Python concepts, operators, and data structures. ● Learn the properties and operations of lists, tuples, and dictionaries. ● Write Python code to solve specific issues. ● Write Python code to handle disk files and exceptions. ● Work with OOPS properties like classes, objects, constructors, inheritance, and polymorphism. ● Use machine learning for classification, regression, prediction, and clustering. WHO THIS BOOK IS FOR This book is intended for current and aspiring emerging technology professionals, students, and anyone else who wishes to better understand the Python programming language and machine learning concepts. TABLE OF CONTENTS 1. Chapter 1: Basics of Python Programming 2. Chapter 2: Operators and Expressions 3. Chapter 3: Control Flow Statements 4. Chapter 4: Functions 5. Chapter 5: Strings 6. Chapter 6: Lists 7. Chapter 7: Tuple 8. Chapter 8: Dictionaries 9. Chapter 9: File Handling 10. Chapter 10: Exception Handling, Modules, and Packages 11. Chapter 11: Object-oriented Programming 12. Chapter 12: Machine Learning with Python 13. Chapter 13: Clustering with Python
Introduction To Python And Large Language Models
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Author : Dilyan Grigorov
language : en
Publisher: Springer Nature
Release Date : 2024-10-22
Introduction To Python And Large Language Models written by Dilyan Grigorov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.
Gain a solid foundation for Natural Language Processing (NLP) and Large Language Models (LLMs), emphasizing their significance in today’s computational world. This book is an introductory guide to NLP and LLMs with Python programming. The book starts with the basics of NLP and LLMs. It covers essential NLP concepts, such as text preprocessing, feature engineering, and sentiment analysis using Python. The book offers insights into Python programming, covering syntax, data types, conditionals, loops, functions, and object-oriented programming. Next, it delves deeper into LLMs, unraveling their complex components. You’ll learn about LLM elements, including embedding layers, feedforward layers, recurrent layers, and attention mechanisms. You’ll also explore important topics like tokens, token distributions, zero-shot learning, LLM hallucinations, and insights into popular LLM architectures such as GPT-4, BERT, T5, PALM, and others. Additionally, it covers Python libraries like Hugging Face, OpenAI API, and Cohere. The final chapter bridges theory with practical application, offering step-by-step examples of coded applications for tasks like text generation, summarization, language translation, question-answering systems, and chatbots. In the end, this book will equip you with the knowledge and tools to navigate the dynamic landscape of NLP and LLMs. What You’ll Learn Understand the basics of Python and the features of Python 3.11 Explore the essentials of NLP and how do they lay the foundations for LLMs. Review LLM components. Develop basic apps using LLMs and Python. Who This Book Is For Data analysts, AI and Machine Learning Experts, Python developers, and Software Development Professionals interested in learning the foundations of NLP, LLMs, and the processes of building modern LLM applications for various tasks.
Data Science And Machine Learning Using Python
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Author : Mrs.Lingam Sunitha
language : en
Publisher: SK Research Group of Companies
Release Date : 2024-12-27
Data Science And Machine Learning Using Python written by Mrs.Lingam Sunitha and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.
Mrs.Lingam Sunitha, Associate Professor, Department of Computer Science & Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India. Dr.B.Sunil Srinivas, Professor & Head, Department of CSE(AI & ML), TKR College of Engineering and Technology, Hyderabad, Telangana, India. Dr.K.Ramasubramanian, Associate Professor, Department of Computer Science & Engineering, KL University (Deemed to be University), Hyderabad, Telangana, India. Mr.K.P.Saurabh, Assistant Professor, Department of Computer Science & Engineering, CMR Engineering College, Hyderabad, Telangana, India.
Parallel Problem Solving From Nature Ppsn Xvii
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Author : Günter Rudolph
language : en
Publisher: Springer Nature
Release Date : 2022-08-13
Parallel Problem Solving From Nature Ppsn Xvii written by Günter Rudolph and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-13 with Computers categories.
This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.
Mastering Python
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Author : Michael B. White
language : en
Publisher:
Release Date : 2019-01-13
Mastering Python written by Michael B. White and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-13 with Computers categories.
Unlike some guides that give you just the basics that you need to get started, this book teaches you everything you need to know about using Python, including what you can use it for. Python is a diverse language and is the foundation of much of what we use in the world today. The reader will be happy to know that this programming language is relatively easy to learn. The book is divided into five sections to make the journey easy for the student: ✅ Part 1 - Data Structures and Algorithms ✅ Part 2 - Machine Learning ✅ Part 3 - Django ✅ Part 4 - ArcGIS Programming ✅ Part 5 - Software Development and Testing ���� If you want to master python, order your copy today. ����
Python Mastery Engaging Exercises For Improving Your Skills
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Author : Manjunath.R
language : en
Publisher: Manjunath.R
Release Date : 2024-04-22
Python Mastery Engaging Exercises For Improving Your Skills written by Manjunath.R and has been published by Manjunath.R this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Antiques & Collectibles categories.
Do you aspire to become proficient in the basics of Python programming? "Dive into the world of Python programming with 'Python Mastery: Engaging Exercises for Improving Your Skills.' This book offers a collection of fun and interactive exercises designed to enhance your Python skills. Whether you're a beginner looking to learn the basics or an experienced programmer aiming to sharpen your expertise, these exercises will guide you through various concepts and challenges. With step-by-step instructions and clear explanations, you'll build confidence and proficiency in Python programming. Get ready to level up your skills and become a Python master!"
C C Java Python Php Javascript And Linux For Beginners
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Author : Manjunath.R
language : en
Publisher: Manjunath.R
Release Date : 2020-04-13
C C Java Python Php Javascript And Linux For Beginners written by Manjunath.R and has been published by Manjunath.R this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-13 with Antiques & Collectibles categories.
"An Introduction to Programming Languages and Operating Systems for Novice Coders" An ideal addition to your personal elibrary. With the aid of this indispensable reference book, you may quickly gain a grasp of Python, Java, JavaScript, C, C++, CSS, Data Science, HTML, LINUX and PHP. It can be challenging to understand the programming language's distinctive advantages and charms. Many programmers who are familiar with a variety of languages frequently approach them from a constrained perspective rather than enjoying their full expressivity. Some programmers incorrectly use Programmatic features, which can later result in serious issues. The programmatic method of writing programs—the ideal approach to use programming languages—is explained in this book. This book is for all programmers, whether you are a novice or an experienced pro. Its numerous examples and well paced discussions will be especially beneficial for beginners. Those who are already familiar with programming will probably gain more from this book, of course. I want you to be prepared to use programming to make a big difference. "C, C++, Java, Python, PHP, JavaScript and Linux For Beginners" is a comprehensive guide to programming languages and operating systems for those who are new to the world of coding. This easy-to-follow book is designed to help readers learn the basics of programming and Linux operating system, and to gain confidence in their coding abilities. With clear and concise explanations, readers will be introduced to the fundamental concepts of programming languages such as C, C++, Java, Python, PHP, and JavaScript, as well as the basics of the Linux operating system. The book offers step-by-step guidance on how to write and execute code, along with practical exercises that help reinforce learning. Whether you are a student or a professional, "C, C++, Java, Python, PHP, JavaScript and Linux For Beginners" provides a solid foundation in programming and operating systems. By the end of this book, readers will have a solid understanding of the core concepts of programming and Linux, and will be equipped with the knowledge and skills to continue learning and exploring the exciting world of coding.
Artificial Intelligence
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Author : Lavanya Sharma
language : en
Publisher: CRC Press
Release Date : 2021-10-28
Artificial Intelligence written by Lavanya Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Computers categories.
Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.