Видавець: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
5537
Eлектронна книга

Pandas 1.x Cookbook. Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Second Edition

Matt Harrison, Theodore Petrou

The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.

5538
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5539
Eлектронна книга

Learn LLVM 12. A beginner's guide to learning LLVM compiler tools and core libraries with C++

Kai Nacke

LLVM was built to bridge the gap between compiler textbooks and actual compiler development. It provides a modular codebase and advanced tools which help developers to build compilers easily. This book provides a practical introduction to LLVM, gradually helping you navigate through complex scenarios with ease when it comes to building and working with compilers.You’ll start by configuring, building, and installing LLVM libraries, tools, and external projects. Next, the book will introduce you to LLVM design and how it works in practice during each LLVM compiler stage: frontend, optimizer, and backend. Using a subset of a real programming language as an example, you will then learn how to develop a frontend and generate LLVM IR, hand it over to the optimization pipeline, and generate machine code from it. Later chapters will show you how to extend LLVM with a new pass and how instruction selection in LLVM works. You’ll also focus on Just-in-Time compilation issues and the current state of JIT-compilation support that LLVM provides, before finally going on to understand how to develop a new backend for LLVM.By the end of this LLVM book, you will have gained real-world experience in working with the LLVM compiler development framework with the help of hands-on examples and source code snippets.

5540
Eлектронна книга

PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

Sherin Thomas, Sudhanshu Passi

PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with PyTorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly.PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It covers neural networks, computer vision, CNNs, natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools.Each chapter focuses on a different area of deep learning. Chapters start with a refresher on how the model works, before sharing the code you need to implement it in PyTorch.This book is ideal if you want to rapidly add PyTorch to your deep learning toolset.

5541
Eлектронна книга

UI Animations with Lottie and After Effects. Create, render, and ship stunning animations natively on mobile with React Native

Mireia Alegre Ruiz, Emilio Rodriguez Martinez

Lottie is a small and scalable JSON-based animation file. LottieFiles is the platform where Lottie animations can be uploaded, tested, and shared. By combining the LottieFiles plugin and the LottieFiles platform, you’ll be able to create stunning animations that are easy to integrate in any device. You’ll also see how to use the Bodymovin plugin in After Effects to export your animation to a JSON file.The book starts by giving you an overview of Lottie and LottieFiles. As you keep reading, you’ll understand the entire Lottie ecosystem and get hands-on with classic 2D animation principles. You’ll also get a step-by-step guided tour to ideate, sketch for storytelling, design an icon that will fulfill the needs and expectations of users based on UX, and finally animate it in Adobe After Effects. This will help you get familiar with the After Effects environment, work with vector shape layers, create and modify keyframes using layer properties, explore path and mask features, and adjust timing easily to create professional-looking animations.By the end of this animation book, you’ll be able to create and export your own Lottie animations using After Effects and implement them in mobile apps using React Native. You’ll also have an understanding of 2D animation best practices and principles that you can apply in your own projects.

5542
Eлектронна книга

Microsoft Power Apps Cookbook. Apply low-code recipes to solve everyday business challenges and become a Power Apps pro - Second Edition

Eickhel Mendoza

Power Apps is a low-code platform owned by Microsoft. With this platform, you can create solutions to solve your business needs while integrating with other components of the Power Platform, such as Microsoft Power Automate, Microsoft Power BI, and others. This book is a handy solution guide to meet many organizational requirements.Microsoft Power Apps Cookbook, Second Edition, takes a pragmatic approach where every business scenario is presented in a quick, practical, and action-oriented recipe. You will be able to use these instant solutions in your development environment and customize your business apps to meet challenging business needs. This will help you handle real-world scenarios and experiences to give you a head start in your Power Apps projects. You will discover various aspects of Power Apps, from building canvas apps, designing model-driven solutions, extending apps with custom connectors, and integrating apps with other platforms, to the pro-developer side including Power Apps Component Framework and creating website experiences for external users with Power Pages.By the end of this Microsoft Power Apps book, you will have gained experience in developing applications using the Power Apps platform and all its features.

5543
Eлектронна книга

Segment Routing in MPLS Networks. Transition from traditional MPLS to SR-MPLS with TI-LFA FRR

Hemant Sharma, Wendell Odom

In this book, you will learn about segment routing (SR), a cornerstone of modern networking, and topology-independent loop-free alternate (TI-LFA), with hands-on labs to hit the ground running. Written by a key contributor to global segment routing multiprotocol label switching (SR-MPLS) network designs, this book makes learning SR-MPLS both accessible and insightful.The book offers an extensive learning path, taking you from a traditional MPLS network using the label distribution protocol (LDP) to a modern SR-MPLS network using SR, and provides a holistic view of their interworking. You’ll also explore TI-LFA fast reroute protection scenarios, and find out how SR-MPLS strengthens network reliability with its source routing paradigm. Using intermediate system–to–intermediate system (IS-IS) as the foundational link-state routing protocol, the chapters ensure that you get a clear understanding of both SR and IS-IS. Following a consistent network topology throughout, this book enables smooth transitions between scenarios, helping you master the technical concepts without distraction.By the end of this book, you’ll have a solid grasp of MPLS, SR-MPLS, and TI-LFA fast reroute techniques, ready to tackle real-world networking challenges with confidence.

5544
Eлектронна книга

A Power User's Guide to FL Studio 21. Master the art of music production and advanced mixing techniques to create Billboard-charting records

Chris Noxx

A digital audio workstation empowering both aspiring and seasoned producers to create original music compositions, FL Studio has not only advanced the culture of collaboration across several genres but has provided a creative outlet for up-and-coming artists worldwide.Achieving professional production prowess takes practice, market insight, and mentorship. This book explains how the author used FL Studio as a creative palette to build a successful career as a record producer, using specific techniques and workflow processes that only FL Studio can accommodate. You’ll develop a Power User's mindset, create signature sounds using stock FL Studio One Shots, create top-level drum loops, learn about FL Studio's VST’s, and approach arrangements from a practical and pop music perspective. This comprehensive guide covers everything from crafting and adding hypnotic melodies and chords, to mixing and mastering productions, and promoting those records to artists and companies, to take your career to the next level.By the end of this book, you’ll be able to create original productions from scratch using FL Studio’s virtual instruments and sound kits, mix and master the finished production, and arrange it using the Billboard-charting formula.