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Srinivasa Ramanujan

Srinivasa Ramanujan

K. Srinivasa Rao

Springer Verlag, Singapore
2021
sidottu
This book offers a unique account on the life and works of Srinivasa Ramanujan—often hailed as the greatest “natural” mathematical genius. Sharing valuable insights into the many stages of Ramanujan’s life, this book provides glimpses into his prolific research on highly composite numbers, partitions, continued fractions, mock theta functions, arithmetic, and hypergeometric functions which led the author to discover a new summation theorem. It also includes the list of Ramanujan’s collected papers, letters and other material present at the Wren Library, Trinity College in Cambridge, UK. This book is a valuable resource for all readers interested in Ramanujan’s life, work and indelible contributions to mathematics.
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Srinivasa Ramanujan

Srinivasa Ramanujan

K. Srinivasa Rao

SPRINGER VERLAG, SINGAPORE
2022
nidottu
This book offers a unique account on the life and works of Srinivasa Ramanujan—often hailed as the greatest “natural” mathematical genius. Sharing valuable insights into the many stages of Ramanujan’s life, this book provides glimpses into his prolific research on highly composite numbers, partitions, continued fractions, mock theta functions, arithmetic, and hypergeometric functions which led the author to discover a new summation theorem. It also includes the list of Ramanujan’s collected papers, letters and other material present at the Wren Library, Trinity College in Cambridge, UK. This book is a valuable resource for all readers interested in Ramanujan’s life, work and indelible contributions to mathematics.
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Advaita

Advaita

Srinivasa Rao

OUP India
2011
sidottu
Advaita has been extensively studied by various schools of philosophy in classical India. In contemporary times, however, it has only been compared to the philosophies of Immanuel Kant and F.H. Bradley. This book offers a comprehensive critique of Advaita, which is very contemporary in its outlook, analysis, and technique. It raises several new and fundamental questions while answering old and classical questions from a contemporary perspective. Srinivasa Rao supplements the classical Indian analysis with many special concepts and techniques extensively used in contemporary Western logic and analytic philosophy. The book discusses whether what classical Advaita had maintained centuries ago can still be maintained, and if at all it is possible, in exactly which way. This book will be of considerable interest to scholars, teachers, and students of Indian philosophy.
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Peeling Design Patterns

Peeling Design Patterns

Srinivasa Rao Meda; Narasimha Karumanchi

Createspace Independent Publishing Platform
2012
pokkari
"Peeling Design Patterns: For Beginners and Interviews" by Narasimha Karumanchi and Prof. Sreenivasa Rao Meda is a book that presents design patterns in simple and straightforward manner with a clear-cut explanation. This book will provide an introduction to the basics and covers many real-time design interview questions. It comes handy as an interview and exam guide for computer scientists.Salient Features of Book: Readers without any background in software design will be able to understand it easily and completely.Presents the concepts of design patterns in simple and straightforward manner with a clear-cut explanation. After reading the book, readers will be in a position to come up with better designs than before and participate in design discussions which happen in their daily office work. The book provides enough real-time examples so that readers get better understanding of the design patterns and also useful for the interviews. We mean, the book covers design interview questions. Table of Contents: IntroductionUML BasicsDesign Patterns IntroductionCreational PatternsStructural PatternsBehavioral PatternsGlossary and TipsDesign Interview QuestionsMiscellaneous Concepts
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Hacking Android

Hacking Android

Srinivasa Rao Kotipalli; Mohammed A. Imran

Packt Publishing Limited
2016
nidottu
Explore every nook and cranny of the Android OS to modify your device and guard it against security threats About This Book • Understand and counteract against offensive security threats to your applications • Maximize your device's power and potential to suit your needs and curiosity • See exactly how your smartphone's OS is put together (and where the seams are) Who This Book Is For This book is for anyone who wants to learn about Android security. Software developers, QA professionals, and beginner- to intermediate-level security professionals will find this book helpful. Basic knowledge of Android programming would be a plus. What You Will Learn • Acquaint yourself with the fundamental building blocks of Android Apps in the right way • Pentest Android apps and perform various attacks in the real world using real case studies • Take a look at how your personal data can be stolen by malicious attackers • Understand the offensive maneuvers that hackers use • Discover how to defend against threats • Get to know the basic concepts of Android rooting • See how developers make mistakes that allow attackers to steal data from phones • Grasp ways to secure your Android apps and devices • Find out how remote attacks are possible on Android devices In Detail With the mass explosion of Android mobile phones in the world, mobile devices have become an integral part of our everyday lives. Security of Android devices is a broad subject that should be part of our everyday lives to defend against ever-growing smartphone attacks. Everyone, starting with end users all the way up to developers and security professionals should care about android security. Hacking Android is a step-by-step guide that will get you started with Android security. You'll begin your journey at the absolute basics, and then will slowly gear up to the concepts of Android rooting, application security assessments, malware, infecting APK files, and fuzzing. On this journey you'll get to grips with various tools and techniques that can be used in your everyday pentests. You'll gain the skills necessary to perform Android application vulnerability assessment and penetration testing and will create an Android pentesting lab. Style and approach This comprehensive guide takes a step-by-step approach and is explained in a conversational and easy-to-follow style. Each topic is explained sequentially in the process of performing a successful penetration test. We also include detailed explanations as well as screenshots of the basic and advanced concepts.
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Matplotlib 3.0 Cookbook

Matplotlib 3.0 Cookbook

Srinivasa Rao Poladi

Packt Publishing Limited
2018
nidottu
Build attractive, insightful, and powerful visualizations to gain quality insights from your dataKey FeaturesMaster Matplotlib for data visualizationCustomize basic plots to make and deploy figures in cloud environmentsExplore recipes to design various data visualizations from simple bar charts to advanced 3D plotsBook DescriptionMatplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your hands-on guide to exploring the world of Matplotlib, and covers the most effective plotting packages for Python 3.7. With the help of this cookbook, you'll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. With the help of over 150 recipes, you'll learn how to develop plots related to business intelligence, data science, and engineering disciplines with highly detailed visualizations. Once you've familiarized yourself with the fundamentals, you'll move on to developing professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D. You'll annotate and add rich text to the plots, enabling the creation of a business storyline. In addition to this, you'll learn how to save figures and animations in various formats for downstream deployment, followed by extending the functionality offered by various internal and third-party toolkits, such as axisartist, axes_grid, Cartopy, and Seaborn. By the end of this book, you'll be able to create high-quality customized plots and deploy them on the web and on supported GUI applications such as Tkinter, Qt 5, and wxPython by implementing real-world use cases and examples.What you will learnDevelop simple to advanced data visualizations in Matplotlib Use the pyplot API to quickly develop and deploy different plots Use object-oriented APIs for maximum flexibility with the customization of figuresDevelop interactive plots with animation and widgets Use maps for geographical plotting Enrich your visualizations using embedded texts and mathematical expressionsEmbed Matplotlib plots into other GUIs used for developing applicationsUse toolkits such as axisartist, axes_grid1, and cartopy to extend the base functionality of MatplotlibWho this book is forThe Matplotlib 3.0 Cookbook is for you if you are a data analyst, data scientist, or Python developer looking for quick recipes for a multitude of visualizations. This book is also for those who want to build variations of interactive visualizations.
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Privacy-Preserving Machine Learning

Privacy-Preserving Machine Learning

Srinivasa Rao Aravilli; Sam Hamilton

PACKT PUBLISHING LIMITED
2024
nidottu
Gain hands-on experience in data privacy and privacy-preserving machine learning with open-source ML frameworks, while exploring techniques and algorithms to protect sensitive data from privacy breaches Key Features Understand machine learning privacy risks and employ machine learning algorithms to safeguard data against breaches Develop and deploy privacy-preserving ML pipelines using open-source frameworks Gain insights into confidential computing and its role in countering memory-based data attacks Purchase of the print or Kindle book includes a free PDF eBook Book Description– In an era of evolving privacy regulations, compliance is mandatory for every enterprise – Machine learning engineers face the dual challenge of analyzing vast amounts of data for insights while protecting sensitive information – This book addresses the complexities arising from large data volumes and the scarcity of in-depth privacy-preserving machine learning expertise, and covers a comprehensive range of topics from data privacy and machine learning privacy threats to real-world privacy-preserving cases – As you progress, you’ll be guided through developing anti-money laundering solutions using federated learning and differential privacy – Dedicated sections will explore data in-memory attacks and strategies for safeguarding data and ML models – You’ll also explore the imperative nature of confidential computation and privacy-preserving machine learning benchmarks, as well as frontier research in the field – Upon completion, you’ll possess a thorough understanding of privacy-preserving machine learning, equipping them to effectively shield data from real-world threats and attacks What you will learn Study data privacy, threats, and attacks across different machine learning phases Explore Uber and Apple cases for applying differential privacy and enhancing data security Discover IID and non-IID data sets as well as data categories Use open-source tools for federated learning (FL) and explore FL algorithms and benchmarks Understand secure multiparty computation with PSI for large data Get up to speed with confidential computation and find out how it helps data in memory attacks Who this book is for– This comprehensive guide is for data scientists, machine learning engineers, and privacy engineers – Prerequisites include a working knowledge of mathematics and basic familiarity with at least one ML framework (TensorFlow, PyTorch, or scikit-learn) – Practical examples will help you elevate your expertise in privacy-preserving machine learning techniques
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