Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickhams package development philosophy. In the process, youll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language.
All Indian Reprints of O'Reilly are printed in Grayscale
Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today's most useful DevOps tools, including Docker, Kubernetes, and Terraform.
Minimum quantity for "Python for DevOps: Learn Ruthlessly Effective Automation" is 1.
With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best features. You will go through Python’s core language features and libraries, and this book shows you how to make your code shorter, faster, and more readable at the same time.
This book is great for newcomers; the content is easy to read and the lessons teach idiomatic Python so that when a developer breaks out into the world from simple projects to more advanced topics, they are already coding stylistically. The book does a good job of covering the basics and offering the reader a solid foundation of knowledge.
Minimum quantity for "Python for Beginners" is 1.
Prototyping and user testing is the best way to create
successful products, but many designers skip this important step and use gut
instinct instead. By explaining the goals behind prototyping—and demonstrating
how to prototype for both physical and digital products—this O’Reilly report
helps beginning and intermediate designers become more comfortable with
creating and testing prototypes early and often in the process.
Minimum quantity for "Prototyping for Physical and Digital Products" is 1.
Any programmer working with a dynamically
typed language will tell you how hard it is to scale to more lines of code and
more engineers. That’s why Facebook, Google, and Microsoft invented gradual
practical book shows you how one such type layer, TypeScript, is unique among
them: it makes programming fun with its powerful static type system.
Quantum computers are set to kick-start a second computing revolution in an exciting and intriguing way. Learning to program a Quantum Processing Unit (QPU) is not only fun and exciting, but it's a way to get your foot in the door. Like learning any kind of programming, the best way to proceed is by getting your hands dirty and diving into code.
Minimum quantity for "Programming Quantum Computers: Essential Algorithms and Code Samples" is 1.
Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data.
Minimum quantity for "Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications" is 1.
If youre looking to develop native applications in Kubernetes, this is your guide. Developers and AppOps administrators will learn how to build Kubernetes-native applications that interact directly with the API server to query or update the state of resources. AWS developer advocate Michael Hausenblas and Red Hat principal software engineer Stefan Schimanski explain the characteristics of these apps and show you how to program Kubernetes to build them.Youll explore the basic building blocks of Kubernetes, including the client-go API library and custom resources.
Minimum quantity for "Programming Kubernetes: Developing Cloud-Native Applications" is 1.
Dive into Bitcoin technology with this hands-on guide from one of the leading teachers on Bitcoin and Bitcoin programming. Author Jimmy Song shows Python programmers and developers how to program a Bitcoin library from scratch. You’ll learn how to work with the basics, including the math, blocks, network, and transactions behind this popular cryptocurrency and its blockchain payment system.
Minimum quantity for "Programming Bitcoin: Learn How to Program Bitcoin from Scratch" is 1.
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.
Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challenges in time series, using both traditional statistical and modern machine learning techniques.
Minimum quantity for "Practical Time Series Analysis: Prediction with Statistics and Machine Learning" is 1.
Whether youre a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valleys Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
Minimum quantity for "Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow" is 1.
Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data.Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths.
Minimum quantity for "Practical Data Science With Sap: Machine Learning Techniques for Enterprise Data" is 1.