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Python Concurrency with asyncio
Python Concurrency with asyncio

Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading. It's easy to overload standard Python and watch your programs slow to a crawl. Th e asyncio library was built to solve these problems by making it easy to divide and schedule tasks. It seamlessly handles multiple operations concurrently, leading to apps that are lightning fast and scalable. Python Concurrency with asyncio introduces asynchronous, parallel, and concurrent programming through hands-on Python examples. Hard-to-grok concu ...
Data Analysis with Python and PySpark
Data Analysis with Python and PySpark

Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects. Packed with relevant examples and essential techniques, this practical book teaches you to build pipelines for reporting, machine learning, and other data-centric tasks. Quick exercises in every chapter help you practice what you've learned, and rapidly start implementing PySpark into your data systems. No previous knowledge of Spark is required. The Spark data processing engine is an amazing analytics factory: raw data comes in, insight comes out. PySpark wraps Spark's core engine with a Python-based API. It helps simplify Spark's steep learning curve and makes this powerful tool available to anyone working in the Python data ecosystem. Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source - whether that's Had ...
Hugo in Action
Hugo in Action

Sometimes, simple is better. Static websites - sites with fixed content - are easier to create and maintain, and inherently more secure than dynamic pages. Hugo in Action is a hands-on guide to using the Hugo static site engine to render these websites in milliseconds. Working with a complete example website and source code samples, you'll learn how to build and host a site that will wow users and stay stable without a third-party server. Full coverage of the Jamstack (Javascript, APIs, Markdown) shows how easy it is to add complex features to super-simple sites, including eCommerce shopping carts, dynamic forms, and multilingual options. Because they load pre-built pages, static websites are simple, secure, and incredibly fast. With the Hugo static site generator you can build and render a website in seconds without the grind of hand coding the pages. Hugo takes a directory of content and templates and renders it as a full HTML and CSS website - perfect for blogs, documentation, an ...
Machine Learning Engineering in Action
Machine Learning Engineering in Action

Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you'll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You'll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. Deliver maximum performance from your models and data. This collection of reproducible techniques wi ...
Serverless Architectures on AWS, 2nd Edition
Serverless Architectures on AWS, 2nd Edition

Serverless Architectures on AWS, 2nd Edition teaches you how to design serverless systems. You'll discover the principles behind serverless architectures, and explore real-world case studies where companies used serverless architectures for their products. You won't just master the technical essentials - the book contains extensive coverage of balancing tradeoffs and making essential technical decisions. This new edition has been fully updated with new chapters covering current best practice, example architectures, and full coverage of the latest changes to AWS. Maintaining server hardware and software can cost a lot of time and money. Unlike traditional data center infrastructure, serverless architectures offload core tasks like data storage and hardware management to pre-built cloud services. Better yet, you can combine your own custom AWS Lambda functions with other serverless services to create features that automatically start and scale on demand, reduce hosting cost, and simpl ...
Effective Software Testing
Effective Software Testing

Effective Software Testing teaches you a systematic approach to software testing that will ensure the quality of your code. It's full of techniques drawn from proven research in software engineering, and each chapter puts a new technique into practice. Follow the real-world use cases and detailed code samples, and you'll soon be engineering tests that find bugs in edge cases and parts of code you'd never think of testing! Along the way, you'll develop an intuition for testing that can save years of learning by trial and error. Effective testing ensures that you'll deliver quality software. For software engineers, testing is a key part of the development process. Mastering specification-based testing, boundary testing, structural testing, and other core strategies is essential to writing good tests and catching bugs before they hit production. Effective Software Testing is a hands-on guide to creating bug-free software. Written for developers, it guides you through all the differe ...
Oracle Database Notes for Professionals
Oracle Database Notes for Professionals

The Oracle Database Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
Bash Reference Manual
Bash Reference Manual

Bash is the shell, or command language interpreter, for thegnuoperating system. Thename is an acronym for the 'Bourne-Again SHell', a pun on Stephen Bourne, the authorof the direct ancestor of the current Unix shellsh, which appeared in the Seventh Edition Bell Labs Research version of Unix. Bash is largely compatible withshand incorporates useful features from the Korn shellkshand the C shellcsh. It is intended to be a conformant implementation of theieeeposixShell and Tools portion of theieee posixspecification (ieeeStandard 1003.1). Itoffers functional improvements overshfor both interactive and programming use. While thegnuoperating system provides other shells, including a version ofcsh, Bashis the default shell. Like othergnusoftware, Bash is quite portable. It currently runs onnearly every version of Unix and a few other operating systems?independently-supportedports exist forms-dos,os/2, and Windows platforms. ...
Application Delivery and Load Balancing in Microsoft Azure
Application Delivery and Load Balancing in Microsoft Azure

With more and more companies moving on-premises applications to the cloud, software and cloud solution architects alike are busy investigating ways to improve load balancing, performance, security, and high availability for workloads. This practical book describes Microsoft Azure's load balancing options and explains how NGINX can contribute to a comprehensive solution. Cloud architects Derek DeJonghe and Arlan Nugara take you through the steps necessary to design a practical solution for your network. Software developers and technical managers will learn how these technologies have a direct impact on application development and architecture. While the examples are specific to Azure, these load balancing concepts and implementations also apply to cloud providers such as AWS, Google Cloud, DigitalOcean, and IBM Cloud. - Understand application delivery and load balancing - and why they're important; - Explore Azure's managed load balancing options; - Learn how to run NGINX OSS an ...
Unity Artificial Intelligence Programming, 5th Edition
Unity Artificial Intelligence Programming, 5th Edition

Developing artificial intelligence (AI) for game characters in Unity has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from basic techniques to cutting-edge machine learning-powered agents. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating game worlds and characters. The updated fifth edition of Unity Artificial Intelligence Programming starts by breaking down AI into simple concepts. Using a variety of examples, the book then takes those concepts and walks you through actual implementations designed to highlight key concepts and features related to game AI in Unity. As you progress, you'll learn how to implement a finite state machine (FSM) to determine how your AI behaves, apply probability and randomness to make games less predictable, and implement a basic sensory system. Later, you'll understand how to set up a game map with a navigation mesh, incorporate move ...
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