Böcker utgivna av O'Reilly Media

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success--and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science. Examples are provided in Python, drawn from popular packages such as NumPy and pandas. If you want to write better data science code, this guide covers the essential topics you need (and that are often missing from introductory data science or coding classes), including how to: Understand data structures and object-oriented programming Clearly and skillfully document your code Package and share your code Integrate data science code with a larger codebase Write APIs Create secure code Apply best practices to common tasks such as testing, error handling, and logging Work more effectively with software engineers Write more efficient, maintainable, and robust code in Python Put your data science projects into production And more

"Python is an excellent way to get started in programming, and this clear, concise guide walks you through Python a step at a time--beginning with basic programming concepts before moving on to functions, data structures, and object-oriented design."--

How will software development and operations have to change to meet the sustainability and green needs of the planet? And what does that imply for development organizations? In this eye-opening book, sustainable software advocates Anne Currie, Sarah Hsu, and Sara Bergman provide a unique overview of this topic-discussing everything from the likely evolution of national grids to the effect those changes will have on the day-to-day lives of developers. Ideal for everyone from new developers to CTOs, Building Green Software tackles the challenges involved and shows you how to build, host, and operate code in a way that's not only better for the planet, but also cheaper and relatively low-risk for your business. Most hyperscale public cloud providers have already committed to net-zero IT operations by 2030. This book shows you how to get on board.

In today's cloud native world, where we automate as much as possible, everything is code. With this practical guide, you'll learn how policy as code (PaC) provides the means to manage the policies that guide our responses as well as the systems we maintain--Kubernetes, cloud security, software supply-chain security, infrastructure-as-code, and microservices authorization, among others. Author Jimmy Ray, a developer advocate on the Amazon Web Services Kubernetes team, provides a practical approach to integrating PaC solutions into your systems, with plenty of real-world examples and important hands-on guidance. DevOps and DevSecOps engineers, Kubernetes developers, and cloud engineers will understand how to choose and then implement the most appropriate solutions. Understand PaC theory, best practices, and use cases for security Learn how to choose and use the correct PaC solution for your needs Explore PaC tooling and deployment options for writing and managing PaC policies Apply PaC to DevOps, IaC, Kubernetes, and AuthN/AuthZ Examine how you can use PaC to implement security controls Verify that your PaC solution is providing the desired result Create auditable artifacts to satisfy internal and external regulatory requirements

"C# is undeniably one of the most versatile programming languages available to engineers today. With this comprehensive guide, you'll learn just how powerful the combination of C# and .NET can be. Author Ian Griffiths guides you through C# 12.0 and .NET 8 fundamentals and techniques for building cloud, web, and desktop applications. Designed for experienced programmers, this book provides many code examples to help you work with the nuts and bolts of C#, such as generics, LINQ, and asynchronous programming features. You'll get up to speed on .NET 8 and the latest C# 11.0 and 12.0 additions, including generic math, new polymorphism options, enhanced pattern matching, and new features designed to improve productivity. This book helps you: Understand how .NET has changed in recent releases and learn what it means for application development; Select the appropriate C# language features for any task; Learn when to use the new features and when to stick with older ones; Examine the range of functionality in .NET's class libraries; Apply these class libraries to practical programming tasks; Explore numerous small additions to .NET that improve expressiveness"--

"In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you're a beginner or an experienced user, this book equips you with the foundational knowledge to grasp and implement statistical models within Tableau. Gain the confidence to speak fluently about the models you employ, driving adoption of your insights and analysis across your organization. As AI continues to revolutionize industries, possessing the skills to leverage statistical models is no longer optional--it's a necessity. Stay ahead of the curve and harness the full potential of your data by mastering the ability to interpret and utilize the insights generated by these models. Whether you're a data enthusiast, analyst, or business professional, this book empowers you to navigate the ever-evolving landscape of data analytics with confidence and proficiency. Start your journey toward data mastery today."--

"How do some organizations maintain 24-7 internet-scale operations? How can organizations integrate security while continuously deploying new features? How do organizations increase security within their DevOps processes? This practical guide helps you answer those questions and more. Author Steve Suehring provides unique content to help practitioners and leadership successfully implement DevOps and DevSecOps. Learning DevSecOps emphasizes prerequisites that lead to success through best practices and then takes you through some of the tools and software used by successful DevSecOps-enabled organizations. You'll learn how DevOps and DevSecOps can eliminate the walls that stand between development, operations, and security so that you can tackle the needs of other teams early in the development lifecycle. This book helps you: Learn why DevSecOps is about culture and processes, with tools to support the processes; Understand why DevSecOps practices are key elements to deploying software in a 24-7 environment; Deploy software using a DevSecOps toolchain and create scripts to assist; Integrate processes from other teams earlier in the software development lifecycle; Help team members learn the processes important for successful software development"--

Rust's popularity is growing, due in part to features like memory safety, type safety, and thread safety. But these same elements can also make learning Rust a challenge, even for experienced programmers. This practical guide helps you make the transition to writing idiomatic Rust--while also making full use of Rust's type system, safety guarantees, and burgeoning ecosystem. If you're a software engineer who has experience with an existing compiled language, or if you've struggled to convert a basic understanding of Rust syntax into working programs, this book is for you. By focusing on the conceptual differences between Rust and other compiled languages, and by providing specific recommendations that programmers can easily follow, Effective Rust will soon have you writing fluent Rust, not just badly translated C++. Understand the structure of Rust's type system Learn Rust idioms for error handling, iteration, and more Discover how to work with Rust's crate ecosystem Use Rust's type system to express your design Win fights with the borrow checker Build a robust project that takes full advantage of the Rust tooling ecosystem

The walls were closing in on Bruce and Maggie Tate. Isolation forced on them by the pandemic, combined with America's growing political factionalism, threatened their bonds with community and family. Something had to change. Maggie's surprising answer: buy a boat, learn to pilot it, and embark on the Great Loop. For nine months Bruce and Maggi

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training and how best you can utilize the resources at your disposal How to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism How to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training Debugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training How to expedite the training lifecycle and streamline your feedback loop to iterate model development A set of data tricks and techniques and how to apply them to scale your training model How to select the right tools and techniques for your deep-learning project Options for managing the compute infrastructure when running at scale

Data modeling is the single most overlooked feature in Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher. Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's semantic model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems. This book shows you how to: Normalize and denormalize with DAX, Power Query, and T-SQL Apply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensions Solve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQL Discover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQL Work with tables, relations, set operations, normal forms, dimensional modeling, and ETL

"Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll: gain a working understanding of several data architectures; learn the strengths and weakness of each approach; distinguish data architecture theory from the reality; pick the best architecture for your use case; understand the differences between data warehouses and data lakes; learn common data architecture concepts to help you build better solutions; explore the historical evolution and characteristics of data architectures; learn essentials of running an architecture design session, team organization, and project success factors."--

While many resources for network and IT security are available, detailed knowledge regarding modern web application security has been lackinguntil now. This practical guide provides both offensive and defensive security concepts that software engineers can easily learn and apply.Andrew Hoffman, a senior security engineer at Salesforce, introduces three pillars of web application security: recon, offense, and defense. Youll learn methods for effectively researching and analyzing modern web applicationsincluding those you dont have direct access to. Youll also learn how to break into web applications using the latest hacking techniques. Finally, youll learn how to develop mitigations for use in your own web applications to protect against hackers.Explore common vulnerabilities plaguing today's web applicationsLearn essential hacking techniques attackers use to exploit applicationsMap and document web applications for which you dont have direct accessDevelop and deploy customized exploits that can bypass common defensesDevelop and deploy mitigations to protect your applications against hackersIntegrate secure coding best practices into your development lifecycleGet practical tips to help you improve the overall security of your web applications

"Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With this hands-on guide, product managers, data analysts, and data scientists will learn how to add value to data by cleansing, analyzing, and resolving datasets using open source Python libraries and cloud APIs. Author Michael Shearer shows you how to scale up your data matching processes and improve the accuracy of your reconciliations. You'll be able to remove duplicate entries within a single source and join disparate data sources together when common keys aren't available. Using real-world data examples, this book helps you gain practical understanding to accelerate the delivery of real business value. This book covers: challenges in deduplicating and joining datasets; extracting, cleansing, and preparing datasets for matching; text matching algorithms to identify equivalent entities; techniques for deduplicating and joining datasets at scale; matching datasets containing persons and organizations; optimizing and tuning data matching algorithms; entity resolution using cloud APIs; matching using privacy-enhancing technologies. With entity resolution, you'll build rich and comprehensive data assets that reveal relationships for marketing and risk management purposes, key to harnessing the full potential of machine learning and AI."--

Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service--using powerful generative AI models such as GPT-4 and GPT-4o--within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies

If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics. George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration. Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to: Build repeatable data cleaning processes for Excel with Power Query Create relational data models and analysis measures with Power Pivot Pull data quickly with dynamic arrays Use AI to uncover patterns and trends from inside Excel Integrate Python functionality with Excel for automated analysis and reporting

Great engineers don't necessarily make great leaders -- at least, not without a lot of work. Finding your path to becoming a strong leader is often fraught with challenges. It's not easy to figure out how to be successful, empathetic, and caring yet tough. Whether you're on the management or individual contributor track, you need to develop strong leadership skills. This practical book guides you on the path to becoming a well-rounded and resilient engineering leader."--

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential

Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate.

Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource for intermediate to advanced users of Excel. You'll find complete recipes for more than a dozen topics covering formulas, PivotTables, charts, Power Query, and more. Each recipe poses a particular problem and outlines a solution that you can put to use right away--without having to comb through tutorial pages. Whether you're a data analyst, project manager, or financial analyst, author Dawn Griffiths directs you straight to the answers you need. Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions--fast. This cookbook shows you how to: Get the most out of Excel's features Address complex data problems in the best way possible Collect, manage, and analyze data from a variety of sources Use functions and formulas with ease--including dynamic array and lambda formulas Analyze data with PivotTables, Power Pivot, and more Import and transform data with Power Query Write custom functions and automate Excel with VBA

Do you wish the existing books on site reliability engineering started at the beginning? Do you wish someone would walk you through how to become an SRE, how to think like an SRE, or how to build and grow a successful SRE function in your organization? Becoming SRE addresses all of these needs and more with three interconnected sections: the essential groundwork for understanding SRE and SRE culture, advice for individuals on becoming an SRE, and guidance for organizations on creating and developing a thriving SRE practice. Acting as your personal and personable guide, author David Blank-Edelman takes you through subjects like: SRE mindset, SRE culture, and SRE advocacy What you need to get started and hired in SRE and what the job will be like when you get there What you need to bring SRE into an organization and what is required for a good organizational fit so it can thrive there How to work with your business folks and management around SRE How SRE can grow and mature in an organization over time Ready to become an SRE or introduce SRE into your organization? This book is here to help.

NGINX is one of the most widely used web servers available today, in part because of its capabilities as a load balancer and reverse proxy server for HTTP and other network protocols. This cookbook provides easy-to-follow examples to real-world problems in application delivery. The practical recipes will help you set up and use either the open source or commercial offering to solve problems in various use cases.For professionals who understand modern web architectures, such as n-tier or microservice designs, and common web protocols including TCP and HTTP, these recipes provide proven solutions for security, software load balancing, and monitoring and maintaining NGINXs application delivery platform. Youll also explore advanced features of both NGINX and NGINX Plus, the free and licensed versions of this server.Youll find recipes for:High-performance load balancing with HTTP, TCP, and UDPSecuring access through encrypted traffic, secure links, HTTP authentication subrequests, and moreDeploying NGINX to Google Cloud, AWS, and Azure cloud computing servicesSetting up and configuring NGINX ControllerInstalling and configuring the NGINX Plus App Protect moduleEnabling WAF through Controller ADC

In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viotti introduce a bold methodology to synchronize your business and technical teams, transforming them into a single, high-performing unit. Misalignment between business and technical teams halts innovation. You'll learn how to transcend the root causes of project failure-the ambiguity, knowledge gaps, and blind spots that lead to wasted efforts. The unifying methodology in this book will teach you these alignment tools and more: The four facets of data products: A simple blueprint that encapsulates data and business logic helps eliminate the most common causes of wasted time and misunderstanding The concept compass: An easy way to identify the biggest sources of misalignment Success spectrums: Define the required knowledge and road map your team needs to achieve success JSON Schema: Leverage JSON and JSON Schema to technically implement the strategy at scale, including extending JSON Schema with custom keywords, understanding JSON Schema annotations, and hosting your own schema registry Data hygiene: Learn how to design high-quality datasets aligned with creating real business value, and protect your organization from the most common sources of pain

An understanding of psychologyspecifically the psychology behind how users behave and interact with digital interfacesis perhaps the single most valuable nondesign skill a designer can have. The most elegant design can fail if it forces users to conform to the design rather than working within the blueprint of how humans perceive and process the world around them. This practical guide explains how you can apply key principles in psychology to build products and experiences that are more intuitive and human-centered. Author Jon Yablonski deconstructs familiar apps and experiences to provide clear examples of how UX designers can build experiences that adapt to how users perceive and process digital interfaces.Youll learn:How aesthetically pleasing design creates positive responsesThe principles from psychology most useful for designersHow these psychology principles relate to UX heuristicsPredictive models including Fittss law, Jakobs law, and Hicks lawEthical implications of using psychology in designA framework for applying these principles

Cloud native security isn't a game for individual players. It requires team collaboration with a platform that can help cloud security engineers, developers, and operations people do their best work. That's what the cloud native application protection platform (CNAPP) delivers. With this practical guide, you'll learn how CNAPP can help you consolidate security through DevSecOps across cloud native technologies, practices, and application lifecycles. Through real-life attack scenarios, authors Russ Miles, Steve Giguere, and Taylor Smith help you explore how CNAPP not only mitigates multidimensional threats, but also reduces complexity and helps your team stay one step ahead of attackers. CNAPP provides a holistic approach to your cloud native development across identities, workloads, networks, and infrastructure. With this book, you will: Examine threats to different parts of the cloud native stack, including pipelines, supply chains, infrastructure, workloads, and applications Learn what CNAPP is and how it enables the context-sharing and collaboration necessary to secure your applications from development to runtime Assess your own attack surface from a code and runtime standpoint Identify blind spots in your existing cloud native security coverage Leverage CNAPP to achieve a holistic, collaborative security environment

With the massive adoption of microservices, operators and developers face far more complexity in their applications today. Service meshes can help you manage this problem by providing a unified control plane to secure, manage, and monitor your entire network. This practical guide shows you how the Linkerd service mesh enables cloud-native developers--including platform and site reliability engineers--to solve the thorny issue of running distributed applications in Kubernetes. Jason Morgan and Flynn draw on their years of experience at Buoyant--the creators of Linkerd--to demonstrate how this service mesh can help ensure that your applications are secure, observable, and reliable. You'll understand why Linkerd, the original service mesh, can still claim the lowest time to value of any mesh option available today. Learn how Linkerd works and which tasks it can help you accomplish Install and configure Linkerd in an imperative and declarative manner Secure interservice traffic and set up secure multicluster links Launch a zero trust authorization strategy in Kubernetes clusters Organize services in Linkerd to override error codes, set custom retries, and create timeouts Use Linkerd to manage progressive delivery and pair this service mesh with the ingress of your choice

Software as a service (SaaS) is on the path to becoming the de facto model for building, delivering, and operating software solutions. Adopting the multi-tenant model of SaaS requires builders to take on a broad range of new architecture, implementation, and operational challenges. How data is stored, how resources are isolated, how tenants are authenticated, how microservices are built--these are all examples of areas that builders must consider when designing and creating SaaS offerings. This practical book equips SaaS builders and architects with a collection of patterns, strategies, and insights to help you bridge these technical and business challenges. Tod Golding, a global SaaS lead at AWS, provides you with an end-to-end view of SaaS architecture and development techniques for addressing the unique blend of challenges associated with building a robust SaaS solution that realizes its full potential.

Decentralized finance (DeFi) is a rapidly growing field in fintech, having grown from $700 million to $100 billion over the past three years alone. But the lack of reliable information makes this area both risky and murky. In this practical book, experienced securities attorney Alexandra Damsker explains DeFi's role in both blockchain and finance. Ideal for developers looking to build decentralized applications (DApps), this book compares DeFi to traditional bank-led fintech and explains why DeFi is exploding in interest and popularity. You'll explore the growing array of DApps and platforms in various categories, including their benefits and drawbacks, and learn how DeFi tools work together from the perspective of both users and developers. With this book, you will: Learn how DeFi fits into the blockchain and fintech worlds Understand why it's important to move beyond the banking system Explore the tools for building a useful, functional DeFi application Learn the risks, benefits, regulatory concerns, and unresolved issues in this nascent and fast-growing industry See which technologies are well-positioned to be incorporated into DeFi blockchains in the near future Assess your own risk level to determine which strategies are most appropriate

Maverick Scientist is the memoir of Forrest Mims, who forged a distinguished scientific career despite having no academic training in science. Named one of the "50 Best Brains in Science" by Discover magazine, Forrest shares what sparked his childhood curiosity and relates a lifetime of improbable, dramatic, and occasionally outright dangerous experiences in the world of science. At thirteen he invented a new method of rocket control. At seventeen he designed and built an analog computer that could translate Russian into English and that the Smithsonian collected as an example of an early hobby computer. While majoring in government at Texas A&M University, Forrest created a hand-held, radar-like device to help guide the blind. And during his military service, he had to be given special clearance to do top secret laser research at the Air Force Weapons Lab. Why? Because while he lacked the required engineering degree, they wanted his outside-the-box thinking on the project. He went on to co-found MITS, Inc., producer of the first commercially successful personal computer, wrote a series of electronics books for Radio Shack that sold more than seven million copies, and designed the music synthesizer circuit that became known as the infamous Atari Punk Console. All this came before he started consulting for NASA's Goddard Space Flight Center, and NOAA's famous Mauna Loa Observatory, and earning the prestigious Rolex Award. This intimate portrait of a self-made scientist shares a revelatory look inside the scientific community, and tells the story of a lifelong learner who stood by his convictions even when pressured by the establishment to get in line with conventional wisdom. With dozens of personal photos and illustrations, Maverick Scientist serves as proof that to be a scientist, you simply need to do science.

With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.