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Фильтр публикаций


​​📚Java Challenges: 100+ Proven Tasks that Will Prepare You for Anything

✍🏻Alex Ellis (2022)

▪️Expand your knowledge of Java with this entertaining learning guide, which features 100+ exercises and programming challenges. Java Challenges will prepare you for your next exam or job interview, and covers many practical topics, such as strings, arrays, data structures, recursion, and date and time. The APIs and other material included in this book are Java 17 compatible.

Each topic is addressed in its own separate chapter, starting with an introduction to the basics and followed by multiple exercises of varying degrees of difficulty, helping you to improve your programming skills effectively. Detailed sample solutions, including the algorithms used for all tasks, are included to maximize your understanding of each area.

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Мы ежедневно публикуем только лучшие вакансии для программистов, тестировщиков, аналитиков, разработчиков и других ИТ-специалистов.


📕 Practical Data Privacy

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📕 Selenium Testing Tools Cookbook

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📕 Webflow by Example

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📕 A Software Engineer's Guide to Seniority

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📕 A Developer’s Essential Guide to Docker Compose

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​​📕 Classic Computer Science Problems in Python

✏️ David Kopec

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

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📕 Hands-On Linux for Architects
Design and implement Linux-based IT solutions

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📕 Practical Security for Agile and DevOps

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📕 PYTHON – Master Python OOP Programming with One Guide Only! A lot of Coding, Practice and Theory Learn Python with Hands-On Projects

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📕 Kubernetes для DevOps: развертывание, запуск и масштабирование в облаке

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​​📚Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

✍🏻Peter Bruce, Andrew Bruce, Peter Gedeck (2020)

▪️Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.

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📕 Unix и Linux: руководство системного администратора

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📕 Learning Web Design - A Beginner’s Guide to HTML, CSS, JavaScript, and Web Graphics

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​​📕 Building Modern Serverless Web APIs

Building and hosting microservices without servers using AWS Lambda

● Learn end-to-end development of microservices using .NET Core and AWS Lambda.
● Learn a new way of hosting the .NET Core Web API on the AWS Lambda serverless platform.
● Mastering microservices using .NET Core and AWS Lambda. 

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​​📚Основы Python. Научитесь думать как программист

✍🏻Аллен Б. Дауни (2021)

▪️Это практическое руководство последовательно раскрывает основы программирования на языке Python. Вы будете продвигаться от самых простых тем к сложным и получите полное представление об одном из самых популярных языков программирования.

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​​📕 The DevOps Career Handbook: The ultimate guide to pursuing a successful career in DevOps 

What You Will Learn:
▪️ Understand various roles and career paths for DevOps practitioners
▪️ Discover proven techniques to stand out in the application process
▪️ Prepare for the many stages of your interview, from the phone screen to taking the technical challenge and then the onsite interview
▪️ Network effectively to help your career move in the right direction
▪️ Tailor your resume to specific DevOps roles
▪️ Discover how to negotiate after you've been extended an offer

Who this book is for:
▪️ This book is for DevOps professionals looking to take the next step in their career, engineers looking to make a career switch, technology managers who want to understand the complete picture of the DevOps landscape, and anyone interested in incorporating DevOps into their tech journey.

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​​📕 The Joy of JavaScript

✏️ AtencioLuis

Whether building interactive browser-based applications or creating server-side applications in Node, JavaScript is the most widely used language for web programming. With new features, language improvements, paradigms, and potential use cases appearing regularly, there’s never been a more exciting time to be a JavaScript developer. In The Joy of JavaScript, author and JavaScript expert Luis Atencio teaches you key design concepts that lead to clean, lean, modular, and easy-to-maintain code.

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​​📕 Build a Career in Data Science

✍🏻 Emily Robinson, Jacqueline Nolis

Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you'll learn to craft an amazing resumé and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You'll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book.

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Показано 20 последних публикаций.