Litgu.ru - Литературный Гуру

Название: Python. Исчерпывающее руководство
Автор: Бизли Дэвид
Издательство: Питер
Год: 2023
Формат: pdf
Страниц: 368
Размер: 12,1 Мб
Язык: русский

Разнообразие возможностей современного Python становится испытанием для разработчиков всех уровней. Как программисту на старте карьеры понять, с чего начать, чтобы это испытание не стало для него непосильным? Как опытному разработчику Python понять, эффективен или нет его стиль программирования? Как перейти от изучения отдельных возможностей к мышлению на Python на более глубоком уровне? «Python. Исчерпывающее руководство» отвечает на эти, а также на многие другие актуальные вопросы. Эта книга делает акцент на основополагающих возможностях Python (3.6 и выше), а примеры кода демонстрируют «механику» языка и учат структурировать программы, чтобы их было проще читать, тестировать и отлаживать. Дэвид Бизли знакомит нас со своим уникальным взглядом на то, как на самом деле работает этот язык программирования. Перед вами практическое руководство, в котором компактно изложены такие фундаментальные темы программирования, как абстракции данных, управление программной логикой, структура программ, функции, объекты и модули, лежащие в основе проектов Python любого масштаба.

Название: Bash for Data Scientists
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 293
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The goal of this book is to introduce readers to an assortment of powerful command line utilities that can be combined to create simple yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so that you can focus on understanding the features of Grep, Sed, and Awk. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with creating shells scripts. The Chapter 7 requires basic knowledge of Python and Pandas, such as creating Pandas data frames, as well as reading and writing CSV files. Knowledge of the awk programming language is required for three shell scripts that invoke the awk command if you decide to read those code samples.

Название: Excel 2021 / Microsoft 365 Programming By Example
Автор: Julitta Korol
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 1107
Язык: английский
Формат: pdf (true)
Размер: 38.09 MB

Updated for Excel 2021 and based on the bestselling editions from previous versions, Excel 2021 / Microsoft 365 Programming by Example is a practical, how-to book on Excel programming, suitable for readers already proficient with the Excel user interface. If you are looking to automate Excel routine tasks, this book will progressively introduce you to programming concepts via numerous illustrated hands-on exercises. More advanced topics are demonstrated via custom projects. From recording and editing a macro and writing VBA code from scratch to programming the Ribbon interface and working with XML documents, this book takes you on a programming journey that will change the way you work with Excel. The book provides information on performing automatic operations on files, folders, and other Microsoft Office applications. It also covers proper use of eventprocedures, testing and debugging, and guides you through programming more advanced Excel features, such as working with VBA classes and raising your own events in standalone class modules. Includes companion files with source code, hands-on projects, and figures.

Название: Pandas Basics
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 215
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book is intended for those who plan to become data scientists as well as anyonewho needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code areavailable for downloading from the publisher.

Название: Publishing Python Packages: Test, share, and automate your projects (Final Release)
Автор: Dane Hillard
Издательство: Manning Publications
Год: 2023
Страниц: 250
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

Create masterful, maintainable Python packages! This book includes pro tips for design, automation, testing, deployment, and even release as an open source project! Everyone starts their Python journey in a different place. Regardless of how you start, you’ll eventually start working your way upstream to experience new sights and sounds. As the river narrows and the trees thicken, you may even start to think about how to deliver a Python application to others. There you find hulls of shattered projects around the entrance to a hidden cavern at the river's headwaters. Suddenly you hear a hollow voice ask, “What’s your favorite packaging tool?” right before you’re flung into a chasm. Python has something for everyone—and you’ll usually find it on the Python Package Index. PyPI brings about new challenges as you start to worry about installation, dependencies, environments, and other important matters related to using your software in the real world. This is where new open source packages are created and maintained. This is the starting point for this much-needed book. A quiet secret of most Python books is that nobody really wants to talk much about packaging (and I speak from experience).

Название: Julia for Data Analysis (Final Release)
Автор: Bogumil Kaminski
Издательство: Manning Publications
Год: 2023
Страниц: 474
Язык: английский
Формат: pdf (true)
Размер: 13.4 MB

Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more. Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super fast code execution. Julia for Data Analysis teaches you how to perform core Data Science tasks with this amazing language. This book does not require prior knowledge of advanced Machine Learning (ML) algorithms. This knowledge is not necessary for understanding the fundamentals of data analysis in Julia, and I do not discuss such models in this book. This book is for data scientists or data engineers who would like to learn how Julia can be used for data analysis. I assume that you have some experience in doing data analysis using a programming language such as R, Python, or MATLAB.

Название: Microservice APIs: Using Python, Flask, FastAPI, OpenAPI and more (Final Release)
Автор: Jose Haro Peralta
Издательство: Manning Publications
Год: 2023
Страниц: 442
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Tips, best practices, and handy Python features for designing better microservices architecture and streamlining API integrations. The goal of this book is to teach you how to build microservices and drive their integrations using APIs. You’ll learn to design a microservices platform and to build REST and GraphQL APIs to enable communication between microservices. You’ll also learn to test and validate your microservice APIs, to secure them, and to deploy and operate them in the cloud. This book is helpful for software developers who work with microservices and APIs. The book uses a very practical approach, and nearly every chapter illustrates the explanations with full coding examples. Therefore, hands-on developers who work directly with microservice APIs will find the book’s contents valuable. The coding examples are in Python; however, knowledge of the language isn’t necessary to be able to follow along with them. Before introducing new code, every concept is explained thoroughly.

Название: Software Engineer's Guide to Deep Learning System Design (MEAP v8)
Автор: Chi Wang, Donald Szeto
Издательство: Manning Publications
Год: 2022
Страниц: 338
Язык: английский
Формат: pdf (true)
Размер: 29.1 MB

Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing Deep Learning models. Software Engineer's Guide to Deep Learning System Design is a practical guide for software engineers and data scientists who are designing and building platforms for Deep Learning (DL). It’s full of hands-on examples that will help you transfer your software development skills to implementing Deep Learning platforms. In Software Engineer's Guide to Deep Learning System Design, you’ll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting—and lucrative—career as a Deep Learning engineer.

Название: Let's Talk Python (MEAP v2)
Автор: Pavel Anni
Издательство: Manning Publications
Год: 2022
Страниц: 165
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Let's Talk Python is a unique Python beginners guide written especially for young people. There are no boring lessons or dull exercises. Instead, you'll team up with two brothers who are busy talking about Python programming and asking the same questions you are! As you follow along, you’ll learn from the brothers' mistakes, discover how to write programs with a team, and get a chance to create applications you can use in your daily life. All code in this book runs on Mac, Windows, Linux, and Raspberry Pi. Python is one of the best languages for new programmers! Its creators designed it to be easy to learn and easy to use. But Python isn’t just a language for beginners—it’s used for all sorts of things, from web apps to artificial intelligence! Open up this fun, friendly guide and you’ll see just how easy it is to get started with Python.

Название: Java for Developers Pocket Primer
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2022
Страниц: 247
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

The goal of this book is to provide a reasonably thorough introduction to Java development to people who are relatively new to the Java programming language. The biggest challenge for a book of this length is to provide adequate coverage of some fundamental aspects of Java that are illustrated via code samples that are primarily for Java 8. As this book goes to print, Java 17 is the production release. If you are planning to write a Java application, you need to determine the versions of Java that contain the functionality that you need in your application, after which you can determine the version(s) that you need to install. What you need to know for this book: You need an understanding of OOP (Object Oriented Programming), Java, and XML. Knowledge of another OO programming language instead of Java might be sufficient, but to be on the safe side, glance through the code samples to gauge whether or not you can manage the material.