Название: Understanding Python re(gex)? Example based guide to mastering Python regular expressions
Автор: Sundееp Аgаrwаl
Издательство: Leanpub
Год: 2023-03-21
Страниц: 122
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you learn Python Regular Expressions, a mini-programming language for all sorts of text processing needs. The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. It is recommended that you manually type each example and experiment with them. Understanding both the nature of input strings and the output produced is essential. As an analogy, consider learning to drive a car — no matter how much you read about them or listen to explanations, you'd need practical experience to become proficient. Both the standard re module and the popular third-party regex module are covered in this book. Exercises are also included to test your understanding. You should be familiar with programming basics. You should also have a working knowledge of Python syntax and features like string formats, string methods and list comprehensions. You are also expected to get comfortable with reading manuals, searching online, visiting external links provided for further reading, tinkering with illustrated examples, asking for help when you are stuck and so on. In other words, be proactive and curious instead of just consuming the content passively. If you have prior experience with a programming language but not Python, see my curated list of learning resources before starting this book.

Название: Python Coding for Beginners - 18th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 40.9 MB

"Программирование на Python для начинающих" - это первый и единственный выбор, если вы только начинаете и хотите узнать все, что вам нужно, чтобы начать программировать. Это независимое руководство наполнено полезными рекомендациями и пошаговыми полностью иллюстрированными примерами, написанными на простом и понятном английском языке. На страницах этого нового руководства вы узнаете все, что вам нужно знать о создании собственных потрясающих приложений. С этим неофициальным руководством по эксплуатации ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и улучшаете свой пользовательский опыт.

Название: Enterprise Generative AI Well Architected Framework & Patterns: An Architect's Real-life Guide to Adopting Generative AI in Enterprises at Scale
Автор: Suvоrаj Вiswаs, Моumitа Вiswаs
Издательство: Independently published
Год: 2024
Страниц: 114
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 17.1 MB

Welcome to the "Enterprise Generative AI Well Architected Framework & Patterns" a comprehensive step by step guide designed for Enterprise IT Professionals to explore the cutting-edge world of generative artificial intelligence (AI) systems within the context of enterprise applications. We have all witnessed how OpenAI has recently reshaped the digital landscape through the introduction of tools like ChatGPT, which gained a substantial user base surpassing all popular social media applications. ChatGPT has been powered by what we call Generative AI which not only has remarkable influence in the consumer sphere but also many Enterprises are adopting to solve many business challenges which previously appeared impossible. Generative AI is a form of Deep Learning system which is able to generate new original contents (texts or digital media - audio or Video or images). It uses the Machine Mearning algorithm and artificial neural networks to recognize the underlying pattern in the training data to predict new original contents without any human intervention or influences. This book is intended to provide readers with a clear understanding of the fundamental principles, methodologies, and best practices for implementing generative AI in large-scale enterprise environments. Whether you are a seasoned AI practitioner(Architects, Engineers / Engineering Managers or Product Managers) seeking to deepen your knowledge or an enterprise leader (VPs, CXOs, Founders) exploring the potential of Generative AI for your organization, this book offers valuable insights into leveraging the power of generative models effectively and responsibly.

Название: Python for Data Science
Автор: А. Lаkshmi Мuddаnа, Sаndhуа Vinауаkаm
Издательство: Springer/Ane Books Pvt. Ltd.
Год: 2024
Страниц: 398
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in Data Science. This book aims to help the readers understand the basic and advanced concepts for developing simple programs and the fundamentals required for building Machine Learning models. The book covers basic concepts like data types, operators, and statements that enable the reader to solve simple problems. As functions are the core of any programming, a detailed illustration of defining & invoking functions and recursive functions is covered. Built-in data structures of Python, such as strings, lists, tuples, sets, and dictionary structures, are discussed in detail with examples and exercise problems. Files are an integrated part of programming when dealing with large data. File handling operations are illustrated with examples and a case study at the end of the chapter. Widely used Python packages for Data Science, such as Pandas, Data Visualization libraries, and regular expressions, are discussed with examples and case studies at the end of the chapters. The book also contains a chapter on SQLite3, a small relational database management system of Python, to understand how to create and manage databases. As AI applications are becoming popular for developing intelligent solutions to various problems, the book includes chapters on Machine Learning and Deep Learning. They cover the basic concepts, example applications, and case studies using popular frameworks such as SKLearn and Keras on public datasets.

Название: Machine Learning with Python: Master Pandas, Scikit-learn, and TensorFlow for Building Smart IA Models
Автор: Jоsерh Т. Наndу
Издательство: Independently published
Год: 2024
Страниц: 107
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB

Machine Learning is revolutionizing the world, and Python is the language of choice for its development. This book equips you with the essential tools - Pandas, Scikit-learn, and TensorFlow - to build and deploy intelligent applications. Written by seasoned practitioners, this book combines clear explanations with practical exercises, helping you gain hands-on experience and build real-world skills. This book, "Machine Learning with Python: Master Pandas, Scikit-learn, and TensorFlow for building Smart AI Models," is your passport to this thrilling world. Through an exciting journey filled with practical exercises, real-world examples, and a dash of humour, you'll not just understand the fundamentals of ML, but also become proficient in using powerful Python libraries like Pandas, Scikit-learn, and TensorFlow to build your own intelligent systems. No prior coding experiences? No worries! We'll walk you through the necessary Python basics, ensuring you have a solid foundation before diving into the heart of ML. So, what are you waiting for? Buckle up, grab your favourite coding buddy (or just grab a cup of coffee!), and get ready to unleash the power of machine learning! In the first chapter, we'll unveil the fascinating world of ML, exploring its various applications and why Python reigns supreme in this domain. We'll also set up your learning environment, so you can start coding right away.

Название: Python Essentials 1: The Official OpenEDG Python Institute beginners course with practical exercises – learn the basics of Python in seven days and pass the PCEP certification exam
Автор: Тhе ОреnЕDG Руthоn Institutе
Издательство: Тhе ОреnЕDG Руthоn Institutе
Серия: Python Essentials
Год: 2023
Страниц: 515
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Unleash Your Potential and Transform Your Life with Python Essentials 1 — Your Gateway to Career Success! Are you stuck in a job that drains your energy? Do you yearn to achieve your full potential, all while earning a better income? Are you overwhelmed by repetitive, tedious tasks that eat away at your free time and joy? Step into a transformative learning experience with Python Essentials 1 — a meticulously crafted course that empowers you to claim the life you've always wanted. This book doesn't just teach you Python; it opens the door to a thrilling career as a professional programmer, and an opportunity to become part of a global community of people just like you. Every moment you invest in learning equips you to tackle real-world challenges with Python, setting you on a fast-track to becoming an in-demand professional. Python is one of the fastest growing programming languages in the world, and is used in almost every sector and industry, from gaming, to medicine, to nuclear physics. It is essential for any would-be programmer to have at least a foundational knowledge of Python. Luckily, Python is also one of the easiest programming languages to learn. With its focus on real-world words and syntax, a beginner learner of Python can start writing simple programs within minutes. All the code examples in the book have been tested on Python 3.4, 3.6, 3.7, 3.8, and 3.9, and should work with any subsequent versions of Python 3.x.

Название: Software Engineering for Data Scientists: From Notebooks to Scalable Systems (Final)
Автор: Саthеrinе Nеlsоn
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 400
Язык: английский
Формат: pdf, epub (true)
Размер: 11.2 MB

Data Science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering,and clearly explains how to apply the best practices from software engineering to Data Science. All the code examples in this book are written in Python, and many of the chapters describe Python-specific tools. In recent years, Python has become the most popular programming language for Data Science. Python has an extremely solid set of open source libraries for data science, with good backing and a healthy community of maintainers. Large trend-setting companies have chosen Python for their main ML frameworks, including TensorFlow (Google) and PyTorch (Meta). Because of this, Python appears to be especially popular among data scientists working on production Machine Learning code, where good coding skills are particularly important. In my experience, the Python community has been friendly and welcoming, with many excellent events that have helped me improve my skills. It’s my preferred programming language, so it was an easy choice for this book. This book is aimed at data scientists, but people working in closely related fields such as data analysts, Machine Learning (ML) engineers, and data engineers will also find it useful.

Название: Data Storytelling with Generative AI: using Python and Altair (MEAP v5)
Автор: Аngеliса Lо Duса
Издательство: Manning Publications
Год: 2024
Страниц: 425
Язык: английский
Формат: pdf, epub
Размер: 46.5 MB

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit. Data Storytelling with Python Altair and Generative AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you’ll love how quick Generative AI makes the whole process! Python is the second ingredient of this book. As a data journalism professor, I have experimented with many Python libraries for data visualization, such as Matplotlib, Plotly, and Seaborn. However, at the end of my experiments, I realized that the simplest library for data visualization is Altair. Unlike other libraries, Altair is declarative, thus enabling you only to focus on the output of your data visualization. Thus, this book will focus on Altair to build data visualization. Although you can find many materials on the web about Altair, they focus only on how to build raw charts. In this book, you’ll learn how to build data stories with Altair and not simply raw charts. Last but not least, you’ll learn how to use Generative AI tools for data storytelling. This book won’t focus on Generative AI concepts and theory. Instead, you will learn how to apply Generative AI tools, including GitHub Copilot, ChatGPT, and DALL-E, to data storytelling.

Название: Math and Architectures of Deep Learning (Final Release)
Автор: Кrishnеndu Сhаudhurу
Издательство: Manning Publications
Год: 2024
Страниц: 553
Язык: английский
Формат: pdf (true)
Размер: 75.9 MB

Shine a spotlight into the Deep Learning "black box". This comprehensive and detailed guide reveals the mathematical and architectural concepts behind Deep Learning models, so you can customize, maintain, and explain them more effectively. Deep Learning can’t be learned by going through a small fragmented set of simplified recipes from which all math has been scrubbed out. This is a mathematical topic and mastery requires understanding the math along with the programming. What is needed is a resource which presents this topic with the requisite amount of math—no more and no less—with the connection between the Deep Learning and math explicitly spelled out. This is exactly what this book strives to provide with its dual presentation of the math and corresponding PyTorch code snippets. Readers need to know Python and the basics of algebra and calculus.

Название: Basic and Advance: Python Programming
Автор: Аgуа Rаm Vеrmа, Yаtеndrа Кumаr, Sаg Rаm Vеrmа
Издательство: NIPA GENX Electronic Resources & Solutions P. LTD.
Год: 2023
Страниц: 240
Язык: английский
Формат: pdf (true)
Размер: 15.9 MB

This book will introduce you to the Python programming language. It's aimed at beginning programmers, but even if you have written programs before and just want to add Python to your list of languages. Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. It has fewer steps when compared to Java and C. It was founded in 1991 by developer Guido Van Rossum. Python ranks among the most popular and fastest-growing languages in the world. Python is a powerful, flexible, and easy-to-use language. In addition, the community is very active there. It is used in many organizations as it supports multiple programming paradigms. It also performs automatic memory management. The first eight chapters explain Python's basic and you should read them in order. The later chapters show how Python is used in specific application areas such as the web, database, networks, and so on, read them in any order you like. Chapter 1 this chapter explain different basic topic related Python programming. Chapter 2 in this chapter define Python operator. Chapter 3 in this chapter define looping statement. Chapter 4 in this chapter define Python function.