Mastering Large Datasets With Python
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Mastering Large Datasets With Python
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Author : John Wolohan
language : en
Publisher: Simon and Schuster
Release Date : 2020-01-15
Mastering Large Datasets With Python written by John Wolohan and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-15 with Computers categories.
Summary Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You’ll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as distributed technologies that allow for high data throughput. The abundant hands-on exercises in this practical tutorial will lock in these essential skills for any large-scale data science project. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Programming techniques that work well on laptop-sized data can slow to a crawl—or fail altogether—when applied to massive files or distributed datasets. By mastering the powerful map and reduce paradigm, along with the Python-based tools that support it, you can write data-centric applications that scale efficiently without requiring codebase rewrites as your requirements change. About the book Mastering Large Datasets with Python teaches you to write code that can handle datasets of any size. You’ll start with laptop-sized datasets that teach you to parallelize data analysis by breaking large tasks into smaller ones that can run simultaneously. You’ll then scale those same programs to industrial-sized datasets on a cluster of cloud servers. With the map and reduce paradigm firmly in place, you’ll explore tools like Hadoop and PySpark to efficiently process massive distributed datasets, speed up decision-making with machine learning, and simplify your data storage with AWS S3. What's inside An introduction to the map and reduce paradigm Parallelization with the multiprocessing module and pathos framework Hadoop and Spark for distributed computing Running AWS jobs to process large datasets About the reader For Python programmers who need to work faster with more data. About the author J. T. Wolohan is a lead data scientist at Booz Allen Hamilton, and a PhD researcher at Indiana University, Bloomington. Table of Contents: PART 1 1 ¦ Introduction 2 ¦ Accelerating large dataset work: Map and parallel computing 3 ¦ Function pipelines for mapping complex transformations 4 ¦ Processing large datasets with lazy workflows 5 ¦ Accumulation operations with reduce 6 ¦ Speeding up map and reduce with advanced parallelization PART 2 7 ¦ Processing truly big datasets with Hadoop and Spark 8 ¦ Best practices for large data with Apache Streaming and mrjob 9 ¦ PageRank with map and reduce in PySpark 10 ¦ Faster decision-making with machine learning and PySpark PART 3 11 ¦ Large datasets in the cloud with Amazon Web Services and S3 12 ¦ MapReduce in the cloud with Amazon’s Elastic MapReduce
Mastering Large Datasets
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Author : J. T. Wolohan
language : en
Publisher: Manning Publications
Release Date : 2020-01-06
Mastering Large Datasets written by J. T. Wolohan and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-06 with categories.
With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Mastering Large Language Models With Python
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Author : Raj Arun R
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-04-12
Mastering Large Language Models With Python written by Raj Arun R and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Computers categories.
A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. ● Prioritize the ethical and responsible use of LLMs, with an emphasis on building models that adhere to principles of fairness, transparency, and accountability, fostering trust in AI technologies. DESCRIPTION “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. WHAT WILL YOU LEARN ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. ● Master prompt engineering techniques to fine-tune LLM outputs, enhancing quality and relevance for diverse use cases. ● Navigate the complex landscape of ethical AI development, prioritizing responsible practices to drive impactful technology adoption and advancement. WHO IS THIS BOOK FOR? This book is tailored for software engineers, data scientists, AI researchers, and technology leaders with a foundational understanding of machine learning concepts and programming. It's ideal for those looking to deepen their knowledge of Large Language Models and their practical applications in the field of AI. If you aim to explore LLMs extensively for implementing inventive solutions or spearheading AI-driven projects, this book is tailored to your needs. TABLE OF CONTENTS 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index
Mastering Large Language Models
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Author : Virversity Online Courses
language : en
Publisher: eBookIt.com
Release Date : 2025-03-25
Mastering Large Language Models written by Virversity Online Courses and has been published by eBookIt.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.
Delve into the transformative world of large language models with our comprehensive course designed to equip you with the knowledge and skills necessary to harness their full potential. This course offers students a deep dive into the foundational concepts, architecture, and applications of large language models, ensuring a thorough understanding of this cutting-edge technology and its impact across various domains. Master Large Language Models for Real-World Applications Build a strong foundation in the principles and historical development of large language models. Gain insights into the architecture and core components that make these models so powerful. Master the processes of text tokenization and word embeddings for better model efficiency. Learn about ethical considerations and the future directions of language model development. Acquire practical skills through hands-on practice with language model evaluation and fine-tuning. Explore the Impact and Utility of Large Language Models Large language models are at the forefront of artificial intelligence, revolutionizing how machines interpret and generate human language. In the initial stages of the course, we introduce you to the foundational concepts, guiding you through the history and evolution of language models. Understanding the architectural structures that underpin these models is crucial, and this course breaks down the core components, providing clarity on how they function cohesively. The intermediate modules will immerse you in core concepts such as tokenization and word embeddings, which are pivotal for enhancing model performance. You will learn about popular language models and the different datasets and techniques utilized during their training. Ethical considerations hold significant importance, and we dedicate a comprehensive section on the ethical challenges faced in deploying language models, ensuring you are aware of the responsibilities tied to their use. Practical application is a key emphasis of this course. With hands-on practice, you will evaluate and fine-tune a simple language model, equipping you with skills you can immediately apply to real-world scenarios. By learning how to integrate these models into applications, you'll be prepared to leverage their full potential in your projects. By the end of this course, you will be well-equipped to tap into the transformative power of large language models, with a keen understanding of both their technical and ethical implications. You will emerge with the ability to navigate the complexities of these models and their applications, ready to contribute to innovation in your field.
Mastering Large Language Models
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Author : Sanket Subhash Khandare
language : en
Publisher: BPB Publications
Release Date : 2024-03-12
Mastering Large Language Models written by Sanket Subhash Khandare and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-12 with Computers categories.
Do not just talk AI, build it: Your guide to LLM application development KEY FEATURES ● Explore NLP basics and LLM fundamentals, including essentials, challenges, and model types. ● Learn data handling and pre-processing techniques for efficient data management. ● Understand neural networks overview, including NN basics, RNNs, CNNs, and transformers. ● Strategies and examples for harnessing LLMs. DESCRIPTION Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications. This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks , and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment. With this book as your compass, you will navigate the ever-evolving landscape of LLM technology, staying ahead of the curve with the latest advancements and industry best practices. WHAT YOU WILL LEARN ● Grasp fundamentals of natural language processing (NLP) applications. ● Explore advanced architectures like transformers and their applications. ● Master techniques for training large language models effectively. ● Implement advanced strategies, such as meta-learning and self-supervised learning. ● Learn practical steps to build custom language model applications. WHO THIS BOOK IS FOR This book is tailored for those aiming to master large language models, including seasoned researchers, data scientists, developers, and practitioners in natural language processing (NLP). TABLE OF CONTENTS 1. Fundamentals of Natural Language Processing 2. Introduction to Language Models 3. Data Collection and Pre-processing for Language Modeling 4. Neural Networks in Language Modeling 5. Neural Network Architectures for Language Modeling 6. Transformer-based Models for Language Modeling 7. Training Large Language Models 8. Advanced Techniques for Language Modeling 9. Top Large Language Models 10. Building First LLM App 11. Applications of LLMs 12. Ethical Considerations 13. Prompt Engineering 14. Future of LLMs and Its Impact
Mastering Performance Optimization In Python Unlock The Secrets Of Expert Level Skills
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Author : Larry Jones
language : en
Publisher: Walzone Press
Release Date : 2025-03-04
Mastering Performance Optimization In Python Unlock The Secrets Of Expert Level Skills written by Larry Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Computers categories.
Dive deep into the art and science of Python performance enhancement with "Mastering Performance Optimization in Python: Unlock the Secrets of Expert-Level Skills." This advanced guide transforms seasoned developers into Python performance experts by exploring sophisticated techniques that elevate coding prowess. From runtime environments and data handling to memory management and concurrency, this book provides the essential insights needed to navigate and conquer complex performance challenges. Each chapter meticulously breaks down intricate concepts, presenting clear, actionable strategies for real-world application. Discover how to leverage Python's built-in libraries, utilize asynchronous programming, and implement multithreading and multiprocessing for optimal efficiency. With a focus on profiling, benchmarking, and continuous monitoring, the book ensures that readers develop the skills to not only identify but also rectify performance bottlenecks, delivering applications that are both robust and scalable. "Mastering Performance Optimization in Python" is more than a technical manual—it's a key to unlocking efficiency. With practical examples and expert insights, this book empowers you to elevate your Python applications and redefine performance standards in your projects. Equip yourself with the tools and knowledge to push boundaries and achieve excellence in Python programming.
Mastering Data Structures With Python
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Author : Aditya Pratap Bhuyan
language : en
Publisher: Aditya Pratap Bhuyan
Release Date : 2024-09-14
Mastering Data Structures With Python written by Aditya Pratap Bhuyan and has been published by Aditya Pratap Bhuyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-14 with Computers categories.
"Mastering Data Structures with Python: A Practical Guide" offers a comprehensive journey through the essential concepts of data structures, all within the practical framework of Python. Designed for both beginners and experienced programmers, this book provides a thorough understanding of the data structures that are critical to writing efficient, high-performance algorithms. The book begins with a solid introduction to fundamental data structures like arrays, linked lists, stacks, and queues, before moving on to more complex structures such as trees, graphs, and heaps. Each data structure is broken down with easy-to-understand explanations, step-by-step walkthroughs, and Python code examples that bring theory to life. The clear, practical approach ensures that readers can apply what they've learned in real-world programming situations. In addition to covering these essential structures, the book also focuses on the efficiency and performance of algorithms, teaching you how to analyze time and space complexity using Big O notation. This understanding is crucial for writing code that scales and performs well under pressure, a skill that's highly sought after in technical interviews and real-world development. The book goes beyond theory, showcasing real-world applications of data structures in Python, such as how to use them to optimize search algorithms, build complex networks, and manage large datasets. With a focus on practical problem-solving, you'll also learn tips and tricks for optimizing code, managing memory efficiently, and implementing the right data structures for various tasks. Whether you’re a student preparing for coding interviews, a developer wanting to sharpen your skills, or simply curious about data structures, "Mastering Data Structures with Python" serves as a valuable guide. It’s not just about learning Python—it’s about mastering the art of programming itself.
Python Prodigy From Intermediate To Expert Mastery
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Author : Guillaume Lessard
language : en
Publisher: iD01t Productions
Release Date : 2025-01-09
Python Prodigy From Intermediate To Expert Mastery written by Guillaume Lessard and has been published by iD01t Productions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
Unlock the advanced potential of Python programming with Python Prodigy: From Intermediate to Expert Mastery. Authored by Guillaume Lessard, this comprehensive guide is designed for developers ready to elevate their skills and dominate the tech industry. Explore advanced Python concepts, including: Mastering Syntax & Features: Advanced unpacking, decorators, and context managers. Data Structures & Algorithms: Build and optimize with efficiency. Specialized Domains: Delve into machine learning, web development, game creation, and cybersecurity. Real-World Applications: Tackle challenges in automation, finance, IoT, blockchain, and more. Packed with practical examples, deep insights, and best practices, this guide bridges the gap between intermediate and expert, empowering you to write Pythonic, scalable, and maintainable code. Whether you're enhancing your expertise or exploring new programming paradigms, Python Prodigy is your pathway to professional mastery. Join the next generation of Python innovators today!
Mastering The Craft Of Python Programming Unraveling The Secrets Of Expert Level Programming
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Author : Steve Jones
language : en
Publisher: Walzone Press
Release Date : 2025-02-11
Mastering The Craft Of Python Programming Unraveling The Secrets Of Expert Level Programming written by Steve Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Computers categories.
Unleash the full potential of your Python programming skills with "Mastering the Craft of Python Programming: Unraveling the Secrets of Expert-Level Programming." This book serves as an indispensable guide for experienced developers looking to level up their coding prowess and dive deep into the sophisticated realms of Python. Written with clarity and precision, it covers a breadth of advanced techniques, including complex algorithms, asynchronous programming, and efficient memory management, tailored specifically for the modern programmer's needs. Each chapter meticulously explores key concepts necessary for mastering Python, from idiomatic code practices and harnessing Python's powerful standard library to delving into the intricacies of metaprogramming and decorators. Practical examples, detailed explanations, and insightful tips not only enhance comprehension but also encourage an appreciation for Python's rich ecosystem. The emphasis on optimizing performance and robustness ensures that you can create applications that are as efficient as they are resilient. Embrace the challenge of pushing your knowledge beyond conventional programming boundaries with this comprehensive resource. "Mastering the Craft of Python Programming" is more than just a technical manual; it is an essential companion that empowers you to navigate complex development landscapes, innovate with confidence, and craft high-quality code with elegance and expertise.
Python Coding Mastery
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-05-31
Python Coding Mastery written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-31 with Computers categories.
Unlock the full potential of Python and transform your coding journey with "Python Coding Mastery." This comprehensive guide takes you from the basics to advanced concepts, equipping you with all the tools you need to become a proficient Python programmer. Whether you're a beginner looking to build a strong foundation or an experienced coder aiming to enhance your skills, this ebook serves as your essential resource. Start with a deep dive into Python's origins and set up the perfect environment to nourish your coding skills. Master the nuances of Python syntax and semantics, and get comfortable with basic concepts like variables, data types, and control flow. Progress through expertly crafted sections on functions, data structures, and object-oriented programming, unraveling the intricacies of each as you advance. Delve into advanced Python concepts, exploring decorators and generators while mastering file handling and the powerful standard libraries. Sharpen your problem-solving skills with regular expressions, and embrace the art of testing and debugging. For those interested in data science, discover the capabilities of NumPy, Pandas, and Matplotlib, and for web development enthusiasts, gain insights into Flask, Django, and FastAPI. Expand your automation toolkit with chapters on scripting, web scraping, and browser automation, and explore the realm of concurrency to handle complex tasks efficiently. Learn how to package and distribute your work, adhering to best practices that ensure clean, maintainable code. "Python Coding Mastery" is not just a book; it's your gateway to a thriving Python community. With key takeaways and resources for ongoing learning, this ebook supports you in achieving coding excellence. Embark on your Python programming journey today and discover the endless possibilities awaiting you.