Название: Python Programming Bible for Beginners: [4 in 1] The Ultimate 5-Day Python Crash Course with Step-by-Step Guidance, Expert Secrets, and a Practical Workbook to Achieve Your Career Aspirations
Автор: Махwеll Тrеntоn
Издательство: Independently published
Год: 2024
Страниц: 148
Язык: английский
Формат: pdf, epub
Размер: 16.3 MB

Are you overwhelmed by the vast world of Python programming, unsure where to start your journey toward tech mastery? Do you fear wasting time on resources that don't truly prepare you for real-world programming challenges? Or perhaps you're balancing a tight schedule, struggling to find a beginner-friendly guide that can propel you into a lucrative coding career without the fluff and filler? Introducing "Python Programming Bible for Beginners: [4 in 1] The Ultimate 5-Day Python Crash Course with Step-by-Step Guidance, Expert Secrets, and a Practical Workbook to Achieve Your Career Aspirations." This isn't just another programming book; it's your accelerated path to becoming a proficient Python programmer, designed to turn aspirations into achievements. Within the covers of this comprehensive guide, you'll find a meticulously crafted journey through Python - from the very basics to advanced applications in the real world. Whether you're aiming for a career change, seeking academic excellence, or simply adding a valuable skill to your repertoire, this book has you covered. Diving into programming can be daunting, but remember, every expert was once a beginner. This chapter is crafted to ease you into Python gently, ensuring you build a solid foundation without feeling overwhelmed. We'll start by setting up your Python environment, turning your computer into a powerful laboratory for experimentation and learning. Next, we'll write our first Python script together, echoing the traditional "Hello, World!" - a rite of passage for all programmers that marks the beginning of your coding journey.

Название: The Data Preparation Journey: Finding Your Way with R
Автор: Маrtin Нugh Моnkmаn
Издательство: CRC Press
Серия: Data Science Series
Год: 2024
Страниц: 236
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical Data Science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how “Visualise” is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning. This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting data from customer interactions, and public servants who use data to inform policy and program decisions. The principles and practices described within The Data Preparation Journey apply regardless of the context. It is assumed that the reader of this book will have a working knowledge of the fundamental data manipulation functions in R (whether base or tidyverse or packages beyond those) or another programming language that supports that work. This book leans heavily on R Markdown, particularly when it comes to describing documentation and the packages of the tidyverse. Familiarity with both will be very helpful.

Название: Learn C Programming through Nursery Rhymes and Fairy Tales: Classic Stories Translated into C Programs
Автор: Shаri Еskеnаs
Издательство: Sundae Electronics LLC
Год: December 12, 2023
Страниц: 237
Язык: английский
Формат: pdf, epub
Размер: 46.9 MB

Learn C programming basics quickly and delightfully with classic nursery rhymes and fairy tales like you’ve never seen them before- written as computer programs! For kids and adults alike. When you run this book’s C programs on your computer, you’ll see the nursery rhymes and fairy tale stories printed out on your screen! As you turn the pages of this picture book, you will: - Learn to code with your favorite nursery rhymes and fairy tales translated logically into C programs; - Enjoy seventeen nursery rhymes and seven fairy tales written in both normal sentences and in C code; - Be entertained by full-page, whimsical illustrations in premium color that accompany the code; - Gain the knowledge you need to write your own C programs. Have fun learning to code through nursery rhymes and fairy tales retold for the 21st century. Get ready for storytime …and coding time!

Название: Foundations of Quantum Programming, 2nd Edition
Автор: Мingshеng Ying
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 400
Язык: английский
Формат: epub
Размер: 22.5 MB

Quantum computers promise dramatic advantages in processing speed over currently available computer systems. Quantum computing offers great promise in a wide variety of computing and scientific research, including Quantum cryptography, Machine Learning, computational biology, renewable energy, computer-aided drug design, generative chemistry, and any scientific or enterprise application that requires computation speed or reach beyond the limits of current conventional computer systems. Foundations of Quantum Programming, Second Edition discusses how programming methodologies and technologies developed for current computers can be extended for quantum computers, along with new programming methodologies and technologies that can effectively exploit the unique power of quantum computing. The Second Edition includes two new chapters describing programming models and methodologies for parallel and distributed quantum computers. The author has also included two new chapters to introduce Quantum Machine Learning and its programming models – parameterized and differential quantum programming. In addition, the First Edition's preliminaries chapter has been split into three chapters, with two sections for quantum Turing machines and random access stored program machines added to give the reader a more complete picture of quantum computational models. Finally, several other new techniques are introduced in the Second Edition, including invariants of quantum programs and their generation algorithms, and abstract interpretation of quantum programs.

Название: Building Multi-Tenant SaaS Architectures: Principles, Practices, and Patterns Using AWS
Автор: Тоd Gоlding
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 487
Язык: английский
Формат: pdf (true)
Размер: 14.4 MB

Software as a service (SaaS) is on the path to becoming the de facto model for building, delivering, and operating software solutions. Adopting a multi-tenant SaaS model requires builders to take on a broad range of new architecture, implementation, and operational challenges. How data is partitioned, how resources are isolated, how tenants are authenticated, how microservices are built—these are just a few of the many areas that need to be on your radar when you're designing and creating SaaS offerings. In this book, Tod Golding, a global SaaS technical lead at AWS, provides an end-to-end view of the SaaS architectural landscape, outlining the practical techniques, strategies, and patterns that every architect must navigate as part of building a SaaS environment. This book is targeted at builder, architect, and operations teams who are creating, migrating, or optimizing SaaS solutions. You might be brand new to SaaS and looking for the foundational concepts that can get you started with SaaS, or you might already be immersed in SaaS and are looking at how you might want to apply the principles outlined here to enhance an existing solution. You’ll notice that I’ve also included operations in this list. While significant parts of this book will be more focused on the builders and architects, there is a clear need for operations teams to be equally immersed in shaping the trade-offs and strategies that will be used to define the footprint of your as-a-service experience. There’s also a corresponding need for builders and architects to be more immersed in the operations experience.

Название: Machine Learning for Physics and Astronomy
Автор: Viviаnа Асquаvivа
Издательство: Princeton University Press
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 61.0 MB

A hands-on introduction to Machine Learning and its applications to the physical sciences. As the size and complexity of data continue to grow exponentially across the physical sciences, Machine Learning is helping scientists to sift through and analyze this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and beyond. This incisive textbook covers the basics of building, diagnosing, optimizing, and deploying Machine Learning methods to solve research problems in physics and astronomy, with an emphasis on critical thinking and the scientific method. Using a hands-on approach to learning, Machine Learning for Physics and Astronomy draws on real-world, publicly available data as well as examples taken directly from the frontiers of research, from identifying galaxy morphology from images to identifying the signature of standard model particles in simulations at the Large Hadron Collider. What Is Machine Learning? To the best of my knowledge/ability to explain, I would say that it’s the process of teaching a machine to make informed, data-driven decisions. Examples of such decisions include recognizing and characterizing objects based on similarities or differences, detecting patterns, and distinguishing signal from noise. Each chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key concepts.

Название: Coding Examples from Simple to Complex: Applications in javascript
Автор: Раul А. Gаgniuс
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 94.4 MB

This book provides a comprehensive guide to javascript, which stands as the cornerstone of modern programming and is the main computer language driving the Internet. The author introduces readers to the rich world of javascript, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient science and engineering oriented javascript developer. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of javascript. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the javascript full potential in their respective projects. This book is part of a series of works designed to present both the examples and their explanations in various computer languages, as close to a mirror version as possible. The chosen language is javascript, most probably the most popular programming language nowadays. Readers of this book can quickly use the gained knowledge in real-world projects, as “Any application that can be written in javascript, will eventually be written in javascript.” (Atwood’s Law). Another advantage is that examples can be run on any computer or any computing device with a browser, without any necessary setting up. Indeed, programming is just a click away. In web development, javascript stands as the cornerstone of modern programming and is the main computer language driving the Internet. Explore the rich world of javascript with this work, a comprehensive guide that takes the reader on a journey from the fundamentals to advanced topics, equipping the reader with the knowledge and skills needed to become a proficient javascript developer or scientist.

Название: Coding Examples from Simple to Complex: Applications in Python
Автор: Раul А. Gаgniuс
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2024
Страниц: 240
Язык: английский
Формат: pdf (true), epub
Размер: 83.9 MB

This book provides a comprehensive guide to Python, which stands as the cornerstone of modern programming and is the main computer language driving software prototyping in both industry and research. The author introduces readers to the rich world of Python, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient Python developer or scientist. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of Python. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the Python full potential in their respective projects. From the basics of variable naming and program structure to complex matrix operations, recursion, and object-oriented programming, this book covers it all. This book is part of a series of works designed to present both the examples and their explanations in various computer languages, as close to a mirror version as possible. The chosen language is Python, most probably one of the most popular programming languages nowadays. While most learning institutions introduce programming languages using the Python language, readers will benefit the wealth of the examples in this book, as well as from being exposed to more advanced programming techniques. The book continues with the moderate examples section, in which more real-world usages are shown, ranging from topics such as string manipulation, more advanced matrix operations, sorting algorithms, bitwise operations and encodings, and statistics. As examples are implemented without the use of other libraries except the standard library, they are of great teaching value, in helping practitioners truly understand the inner workings of concepts.

Название: The AI Revolution in Customer Service and Support (Early Release)
Автор: Rоss Smith, Еmilу МсКеоn, Мауtе Gоnzаlеz
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 409
Язык: английский
Формат: pdf, epub
Размер: 10.3 MB

Generative AI has made amazing advances in the last year, and customer service and support is one of the most important areas where this new technology can have an immediate impact. While the technology is not yet in a place where it will fully replace agents and support engineers, it can do wonders to dramatically improve customer experience while also contribute to the optimization of productivity in various ways. This book help readers understand how and where to incorporate AI technology into the flow of the customer experience. In the 2020s and beyond, AI is entering a new frontier of generative technologies, which aim to create novel and realistic content, such as images, texts, sounds, and videos. Generative technologies use deep learning models, such as generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models (LLMs), to generate content that is indistinguishable from human-produced content. Generative technologies have various applications, such as art, entertainment, education, and communication. One of the most exciting and challenging areas of generative technologies is natural language generation (NLG), which generates natural language text from a given input, such as an image, a keyword, or a prompt. Some of the most notable and influential LLMs include GPTs, BERT, XLNet, T5, and DALL-E, which have been developed and released by leading research labs and companies, such as OpenAI, Google, Facebook, and Microsoft. LLMs have also enabled and inspired the creation and innovation of various applications and products, such as chatbots, assistants, recommender systems, content generators, summarizers, translators, analyzers, or synthesizers, which have been deployed and adopted by various industries and sectors, such as education, health, business, media, entertainment, or art, among others.

Название: Search Methods in Artificial Intelligence
Автор: Dеераk Кhеmаni
Издательство: Cambridge University Press
Год: 2024
Страниц: 488
Язык: английский
Формат: pdf
Размер: 11.3 MB

This book is designed to provide in-depth knowledge on how search plays a fundamental role in problem solving. Meant for undergraduate and graduate students pursuing courses in Computer Science and Artificial Intelligence, it covers a wide spectrum of search methods. Readers will be able to begin with simple approaches and gradually progress to more complex algorithms applied to a variety of problems. It demonstrates that search is all pervasive in Artificial Intelligence and equips the reader with the relevant skills. This book is meant for the serious practitioner-to-be of constructing intelligent machines. Machines that are aware of the world around them, that have goals to achieve, and the ability to imagine the future and make appropriate choices to achieve those goals. It is an introduction to a fundamental building block of Artificial Intelligence (AI). As the book shows, search is central to intelligence. A neuron is a simple device that computes a simple function of the inputs it receives. Collections of interconnected neurons can do complex computations. Insights into animal brains have prompted many researchers to pursue the path of creating artificial neural networks (ANNs). An ANN is a computational model that can be trained to perform certain tasks by repeatedly showing a stimulus and the expected response. Deep networks got further impetus with the availability of open source software like Tensorflow from Google that makes the task of implementing Machine Learning models easier for researchers. More recently, generative neural networks have been successfully deployed for language generation and even creating paintings, for example, from OpenAI. Generative models embody a form of unsupervised learning from large amounts of data, and are then trained to generate data like the one the algorithms were trained on.