Learn how to increase profitability, elevate work culture, and exceed productivity goals through DevOps practices. This book shows how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace.

This book is a practical guide for intermediate to advanced Java technologists who want to learn how to tune Java applications for performance using a quantitative, verifiable approach. It covers a wide range of aspects of performance tuning, including Java principles and technology, performance tests, anti-patterns, measuring Java performance numbers, JVM garbage collection, JIT compilation, Java language performance techniques, Java Collections API, and Java concurrency. The book emphasizes that performance tuning is a process of defining and determining desired outcomes, and it requires diligence.

This book explores the major features and packages of Go, enabling the reader to write threadsafe, concurrent cloud, and network applications. It covers Go syntax, libraries, and features, as well as optimization techniques. The book also includes a dedicated chapter on concurrency, systems, and network programming, imperative for modern-day native cloud development.

Python Tricks: The Book is a guide to Python's best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative. The book helps readers to master Python and write beautiful and idiomatic code that comes naturally. It covers the practical skills that really matter and helps readers discover the hidden gold in Python's standard library. The book is suitable for those who want to learn lesser-known parts of Python, get up to speed with modern patterns and features, or become a confident and effective Pythonista.

This textbook covers a coherently organized framework for machine learning from text, including basic algorithms, domain-sensitive mining, and sequence-centric mining. It targets graduate students in computer science, researchers, professors, and industrial practitioners working in related fields.

This book provides a comprehensive guide to mastering multithreading and concurrency concepts in C++. It covers the fundamentals of multithreading, hardware-level concepts, synchronization and communication between threads, debugging concurrent C++ applications, and best programming practices. The book also explores atomic operations and applying concurrency to distributed and GPGPU-based processing. By the end of the book, readers will be able to efficiently apply multithreading concepts while coding in C++.

Learn how to build high performing Python applications and distribute them to process thousands of requests with The Hacker’s Guide to Scaling Python. This book provides guidelines, tips, and best practices, as well as interviews with experts on the subject, to help you solve common scaling issues and ensure your code is optimized for performance.

This textbook provides a comprehensive introduction to competitive programming, highlighting how it can improve algorithm design, programming and debugging skills. It covers topics such as C++ programming, sorting algorithms, data structures, dynamic programming, graph algorithms, and advanced topics like geometric algorithms and dynamic programming optimization. This guide is ideal for students wishing to learn algorithms and practice for programming contests, assuming basic programming knowledge but no previous background in algorithm design or programming contests.

Домашнее задание по SVM и оптимизации охвата в заданной ЦА для рекламной кампании. Необходимо поиграться с параметрами CountVectorizer, TfIdfTransformer, LogisticRegression и прислать оптимальные параметры. Вам предоставлены данные о рекламных кампаниях и необходимо оптимизировать охват в заданной ЦА, при этом охваты в нецелевых аудиториях не должны быть большими. Модель будет применяться к изначальному плану бюджета кампании, где вы можете изменить бюджет каждого телеканала на +-5%.