Ebooks de informática, página 13 de 226

This book, Ultimate Python Polars for Data Analytics, is a hands-on guide to mastering this high-performance framework. You will begin by understanding Polars architecture, execution engine, and columnar memory modelcore concepts that drive its exceptional speed and efficiency. From there, the book moves into advanced data transformations, multi-table joins, window functions, and aggregation strategies designed for large-scale datasets. You will gain deep insight into lazy execution and query planning, learning how Polars optimizes computations before execution to minimize memory usage and maximize throughput. The book also explores seamless SQL integration, enabling hybrid workflows that combine declarative querying with DataFrame operations. For more advanced use cases, you will learn how to extend Polars using Python user-defined functions and Rust-based PyO3 plugins, unlocking performance for compute-intensive workloads. Additionally, through real-world examples spanning market data analysis, machine learning workflows, and large-scale data processing, this book equips you to design, profile, test, and optimize production-grade data pipelines!

Test your Data Analysis skills to its fullest using Python and other no-code toolsBook DescriptionUltimate Data Analysis and Visualization with Python is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, youll learn essential techniques for gathering and preparing data for analysis. From there, youll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets.Through step-by-step tutorials, youll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, youll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more.By the end of the book, youll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax.Table of Contents1. Introduction to Data Analysis and Data Visualization using Python2. Data Acquisition3. Data Cleaning and Preparation4. Exploratory Data Analysis5. Statistical Analysis6. Time Series Analysis and Forecasting7. Signal Processing8. Analyzing Real-World Data Sets using Python APPENDIX A Python Cheat Sheet Index

Creating Next Gen Apps in FinanceKey Features? Master the Python libraries and packages essential for financial applications, enabling robust development.? Utilize Python for developing applications that process financial information, visualize data in diverse formats, and create insightful representations.? Derive analytical insights from mathematical models integrated into Python applications for data-driven decision-making in finance and fintech.Book DescriptionDive into the dynamic world where finance meets fintech with Pythons versatile capabilities in this Ultimate Python for Fintech Solutions.Whether youre aiming to build secure trading platforms, conduct deep statistical analysis, or pioneer next-generation financial technologies, this book quips you with the knowledge, tools, and practical insights to succeed.This book starts with Pythons foundational programming techniques, essential for understanding financial principles and laying the groundwork for robust applications. You will learn to build scalable solutions that handle complex financial data with ease by using Python for analysis, forecasting, and data visualization.Next, it moves to explore advanced topics like AI/ML applications tailored for finance, enabling you to unlock predictive insights and streamline decision-making processes. You will discover how Python integrates cutting-edge technologies such as Big Data and Blockchain, to offer innovative solutions for modern fintech challenges.By the end of this expansive book, you will gain the expertise needed to develop sophisticated financial applications, visualize data effectively across desktop and web platforms, and drive innovation in fintech.What you will learn? Learn to build robust applications tailored for financial analysis, modeling, and fintech solutions using Python.? Learn to analyze large volumes of financial data, and visualize insights effectively.? Apply advanced AI/ML techniques to predict trends, optimize financial strategies, and automate decision-making processes.? Integrate Python with Big Data platforms and Blockchain technologies to work with massive datasets and decentralized financial systems.? Acquire the knowledge and skills to innovate in the fintech space to address modern financial challenges and opportunities.Table of Contents1. Getting Started on Python Infrastructure and Building Financial Apps2. Learning Financial Concepts Using Python3. Data Structures and Algorithms Using Python4. Object Oriented Programming Using Python5. Building Simulation and Mathematical Analysis Tools Using Python6. Stochastic Mathematics and Building Models Using Python7. Prediction Algorithms Using Python8. Data Science and Statistical Algorithms Using Python9. Desktop and Web Charting Using Python10. AI/ML Apps Using Python11. Big Data/Blockchain-Based Solutions Using Python12. Next Generation FinTech Apps Using Python with Financial Singularity IndexAbout the AuthorsBhagvan Kommadi is a seasoned IT leader with over 20 years of experience and is currently working as a Chief Information Officer. He ensures the IT performance to operate at high productivity and delivers high business value to the customers and employees. He establishes policies and the IT best practices in...

Learn how real-life hackers and pentesters break into systems.Key Features? Dive deep into hands-on methodologies designed to fortify web security and penetration testing.? Gain invaluable insights from real-world case studies that bridge theory with practice.? Leverage the latest tools, frameworks, and methodologies to adapt to evolving cybersecurity landscapes and maintain robust web security posture.Book DescriptionDiscover the essential tools and insights to safeguard your digital assets with the "Ultimate Pentesting for Web Applications". This essential resource comprehensively covers ethical hacking fundamentals to advanced testing methodologies, making it a one-stop resource for web application security knowledge.Delve into the intricacies of security testing in web applications, exploring powerful tools like Burp Suite, ZAP Proxy, Fiddler, and Charles Proxy. Real-world case studies dissect recent security breaches, offering practical insights into identifying vulnerabilities and fortifying web applications against attacks.This handbook provides step-by-step tutorials, insightful discussions, and actionable advice, serving as a trusted companion for individuals engaged in web application security. Each chapter covers vital topics, from creating ethical hacking environments to incorporating proxy tools into web browsers. It offers essential knowledge and practical skills to navigate the intricate cybersecurity landscape confidently. By the end of this book, you will gain the expertise to identify, prevent, and address cyber threats, bolstering the resilience of web applications in the modern digital era.What you will learn? Learn how to fortify your digital assets by mastering the core principles of web application security and penetration testing.? Dive into hands-on tutorials using industry-leading tools such as Burp Suite, ZAP Proxy, Fiddler, and Charles Proxy to conduct thorough security tests.? Analyze real-world case studies of recent security breaches to identify vulnerabilities and apply practical techniques to secure web applications.? Gain practical skills and knowledge that you can immediately apply to enhance the security posture of your web applications.Table of Contents1. The Basics of Ethical Hacking2. Linux Fundamentals3. Networking Fundamentals4. Cryptography and Steganography5. Social Engineering Attacks6. Reconnaissance and OSINT7. Security Testing and Proxy Tools8. Cross-Site Scripting9. Authentication Bypass Techniques IndexAbout the AuthorsDr. Rohit Gautam is currently working as CISO and Director at Hacktify Cyber Security. He holds an honorary Ph.D. in cyber security from German University and has been awarded as Cyber Security Samurai of the year award by Bsides Bangalore 2023. He has found various zero days in modern open source and commercial softwares. He is the member of Board of Education of various Universities and the author of best-selling Bug Bounty Course on e-learning platforms. He has been a trainer and speaker at various international conferences, including Gisec Global, California Tech Summit, OWASP, Bsides Bangalore and many more.Dr. Shifa Cyclewala is currently working as CEO and Director at Hacktify Cyber Security. She holds an honorary Ph.D. in cyber security from ...

Master one of the most essential tools a professional pen tester needs to know.Book DescriptionThis essential handbook offers a systematic journey through the intricacies of Nmap, providing both novice and seasoned professionals with the tools and techniques needed to conduct thorough security assessments with confidence. The purpose of this book is to educate and empower cyber security professionals to increase their skill set, and by extension, contribute positively to the cyber security posture of organizations through the use of Nmap.This book starts at the ground floor by establishing a baseline understanding of what Penetration Testing is, how it is similar but distinct from other types of security engagements, and just how powerful of a tool Nmap can be to include in a pen testers arsenal. By systematically building the readers proficiency through thought-provoking case studies, guided hands-on challenges, and robust discussions about how and why to employ different techniques, the reader will finish each chapter with new tangible skills.With practical best practices and considerations, youll learn how to optimize your Nmap scans while minimizing risks and false positives.Table of Contents1. Introduction to Nmap and Security Assessments2. Setting Up a Lab Environment For Nmap3. Introduction to Attack Surface Mapping4. Identifying Vulnerabilities Through Reconnaissance and Enumeration5. Mapping a Large Environment6. Leveraging Zenmap and Legion7. Advanced Obfuscation and Firewall Evasion Techniques8. Leveraging the Nmap Scripting Engine9. Best Practices and Considerations APPENDIX A. Additional Questions APPENDIX B. Nmap Quick Reference Guide Index

How to Set Up Multiple Passive Income Streams to Earn While You Sleep,What if you woke up tomorrow and had money in your bank account from a small amount of work you did once many months or even years ago.Most people get up and go to work, but you dont have to.You get PAID while you sleepInstead of waking up to an alarm clock, you can do what you want, when you want.Thats the power of PASSIVE INCOME.Why You Want Passive Income StreamsPassive income can quickly change your life.Most people spend a majority of their time workingAnd time is limited.Passive income provides you with the FREEDOM in your life to do the things you want to do, when you want to do them.Imagine being able to go on vacation and getting paidAnd the best part is, youre getting paid while you do the things that you want to do.Imagine spending time with the people that you care about the most, and getting paid while youre doing the things that want.Building multiple streams of passive income is the key to living life on YOUR termsThe best part is.ANYONE Can Build A SIX FIGURE, Passive Income.* There are no skills or experience required to get started* You dont need to spend a bunch of money* You can start making money within days of getting started* You can scale things up to a very nice six figure, passive income within just a few short monthsSo, if building passive income streams is so simple, why isnt everyone doing it?ORDER NOW.

Unleash Julias power: Code Your Data Stories, Shape Machine Intelligence!Key Features Comprehensive Learning Journey from fundamentals of Julia ML to advanced techniques. Immersive practical approach with real-world examples, exercises, and scenarios, ensuring immediate application of acquired knowledge. Delve into the unique features of Julia and unlock its true potential to excel in modern ML applications. Book Description This book takes you through a step-by-step learning journey, starting with the essentials of Julias syntax, variables, and functions. Youll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where youll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results. The handbook culminates in optimizing workflows with Julias parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning. What you will learn Master Julia ML Basics to gain a deep understanding of Julias syntax, variables, and functions. Efficient Data Handling with Julia arrays and DataFrames for streamlined and insightful analysis. Develop expertise in both basic and advanced statistical models for informed decision-making through Statistical Modeling. Achieve Machine Learning Proficiency by confidently implementing ML algorithms using MLJ.jl and MLBase.jl. Apply Bayesian Inference Skills with Turing.jl for advanced modeling techniques. Optimize workflows using Julias Parallel Processing Capabilities and Distributed Computing for efficient and scalable data processing. Table of Contents 1. Julia In Data Science Arena 2. Getting Started with Julia 3. Features Assisting Scaling ML Projects 4. Data Structures in Julia 5. Working With Datasets In Julia 6. Basics of Statistics 7. Probability Data Distributions 8. Framing Data in Julia 9. Working on Data in DataFrames 10. Visualizing Data in Julia 11. Introducing Machine Learning in Julia 12. Data and Models 13. Bayesian Statistics and Modeling 14. Parallel Computation in Julia 15. Distributed Computation in Julia Index

Unleash Julias power: Code Your Data Stories, Shape Machine Intelligence!Book DescriptionThis book takes you through a step-by-step learning journey, starting with the essentials of Julias syntax, variables, and functions. Youll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where youll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.The handbook culminates in optimizing workflows with Julias parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning.Table of Contents1. Julia In Data Science Arena2. Getting Started with Julia3. Features Assisting Scaling ML Projects4. Data Structures in Julia5. Working With Datasets In Julia6. Basics of Statistics7. Probability Data Distributions8. Framing Data in Julia9. Working on Data in DataFrames10. Visualizing Data in Julia11. Introducing Machine Learning in Julia12. Data and Models13. Bayesian Statistics and Modeling14. Parallel Computation in Julia15. Distributed Computation in Julia Index

Unlock the power of Data Manipulation with Pandas.Key Features? Master Pandas from basics to advanced and its data manipulation techniques.? Visualize data effectively with Matplotlib and explore data efficiently.? Learn through hands-on examples and practical real-world use cases.Book DescriptionUnlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. Youll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures.Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis.Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights.What you will learn? Wrangle data efficiently using Pandas cleaning, filtering, and transformation techniques.? Unlock hidden patterns with advanced grouping, joining, and merging operations.? Master time series analysis with Pandas to extract valuable insights from your data.? Apply Pandas to real-world scenarios like customer churn analysis and financial modeling.? Unleash the power of data visualization with Matplotlib and craft compelling charts and graphs.? Enhance your workflow with essential Pandas optimizations and performance tips.Table of Contents1. Introduction to Pandas and Data Analysis2. Pandas Series3. Pandas DataFrame4. Data Cleaning with Pandas5. Data Filtering with Pandas6. Grouping and Aggregating Data7. Reshaping and Pivoting in Pandas8. Joining and Merging Data in Pandas9. Introduction to Time Series Analysis in Pandas10. Visualization Using Matplotlib11. Analyzing Bank Customer Churn Using Pandas IndexAbout the AuthorsTahera Firdose holds a postgraduate degree in Artificial Intelligence and has made significant strides in the fields of data analysis and machine learning. Her academic background, combined with her passion for these domains, has propelled her into a prominent position as an educator, blogger, and community influencer.Taheras expertise in Artificial Intelligence extends beyond theoretical knowledge; she has applied her skills in various practical and impactful projects. Her work in machine learning, particularly in developing innovative algorithms and predictive models, has been recognized for its excellence and practical applications. She is known for her ability to simplify complex concepts and make them accessible to a broader audience.An avid writer, Tahera frequently shares her insights and discoveries through her well-regarded blog. Her articles cover a wide range of topics within data analysis and machine learning, providing valuable resources for both beginners and seasoned professionals. Her wr...

Bringing Deep Learning Models to the Edge Efficiently Using ONNX. Key Features Master end-to-end ONNX workflows from framework export models to edge deployment. Hands-on optimization techniques like quantization, pruning and knowledge distillation for real-world edge AI performance. Production-grade case studies across vision, speech, and language models on edge devices. Book Description ONNX has emerged as the de facto standard for deploying portable, framework-agnostic machine learning models across diverse hardware platforms. Ultimate ONNX for Deep Learning Optimization provides a structured, end-to-end guide to the ONNX ecosystem, starting with ONNX fundamentals, model representation, and framework integration. You will learn how to export models from PyTorch, TensorFlow, and Scikit-Learn, inspect and modify ONNX graphs, and leverage ONNX Runtime and ONNX Simplifier for inference optimization. Each chapter builds technical depth, equipping you with the tools required to move models beyond experimentation. The book focuses on performance-critical optimization techniques, including quantization, pruning, and knowledge distillation, followed by practical deployment on edge devices such as Raspberry Pi. Through complete, real-world case studies covering object detection, speech recognition, and compact language models, you can implement custom operators, follow deployment best practices, and understand production constraints. Thus, by the end of this book, you will be capable of designing, optimizing, and deploying efficient ONNX-based AI systems for edge environments. What you will learn Design and understand ONNX models, graphs, operators, and runtimes. Convert and integrate models from PyTorch, TensorFlow, and Scikit-Learn. Optimize inference using graph simplification, quantization, and pruning. Apply knowledge distillation to retain accuracy on constrained devices. Deploy and benchmark ONNX models on Raspberry Pi and edge hardware. Build custom ONNX operators, and extend models beyond standard layers.

Build slim SSR and SSG Nuxt applications with Composition API, remote Node.js applications, and PHP applications for projects that scale and require better maintenance.Key Features Develop full-stack Nuxt applications with Composition APIs, Pinia, Socket.IO, and LocalStorage. Separate Nuxt apps for frontend and data management APIs for streamlined maintenance. Build data APIs with Node.js, MongoDB, MariaDB, RethinkDB, Redis, GraphQL, and WordPress. Book Description Unlock the true potential of Nuxt.js with this comprehensive guide. The book explores the intricacies of Nuxt.js, with a primary focus on addressing scalability challenges inherent in web applications. Readers will acquire the expertise to efficiently separate APIs and data management from Nuxt projects, thereby significantly enhancing maintainability. This journey is complemented by harnessing the potent Nitro Server Engine, enabling the seamless construction of full-stack web applications using Nuxt alone, ensuring a harmonious blend of efficiency and scalability. The book will help navigate the complexities of large-scale Nuxt projects, uncovering the integration of remote Node.js and PHP applications to streamline API and data management processes. Practical insights abound, offering a deep understanding of effective data handling and API management using prominent technologies such as MongoDB, MariaDB, RethinkDB, and GraphQL tailored specifically for Nuxt applications. By the end of the book you will create static site generation (SSG) Nuxt applications paired with WordPress to optimize production performance. What you will learn Master SSR and SSG Vue.js applications using Nuxt and the Composition API. Build dynamic pages, manage HTTP errors in Nuxt, Node.js, PHP applications, and enhance functionality with composables, plugins, utils, and middleware. Create responsive layouts using Windi CSS and Less, and optimize SEO and Open Graph by managing static and dynamic assets with composables. Create a client-server shopping cart system with Pinia, Redis, and cookies. Implement real-time features using Socket.IO and RethinkDB. Build a headless CMS using WordPress for Nuxt applications. Table of Contents 1. Introducing Advanced Nuxt Web Development 2. Creating Pages, Layouts, Composables, Plugins, Utilities, and Middleware 3. Managing Assets and Adding UI Frameworks 4. Fetching Data and Handling Errors 5. Managing States and Stores 6. Managing Data with Nitro Server Engine in Nuxt 7. Managing Data with Node.js Apps for Nuxt 8. Managing Database with PHP Apps for Nuxt 9. Building GraphQL Layers with MongoDB, WordPress, and GraphQL Tools for Nuxt 10. Creating SSG Sites with Nuxt and WordPress and Going Further Index

Build slim SSR and SSG Nuxt applications with Composition API, remote Node.js applications, and PHP applications for projects that scale and require better maintenance.Book DescriptionUnlock the true potential of Nuxt.js with this comprehensive guide. The book explores the intricacies of Nuxt.js, with a primary focus on addressing scalability challenges inherent in web applications. Readers will acquire the expertise to efficiently separate APIs and data management from Nuxt projects, thereby significantly enhancing maintainability. This journey is complemented by harnessing the potent Nitro Server Engine, enabling the seamless construction of full-stack web applications using Nuxt alone, ensuring a harmonious blend of efficiency and scalability.The book will help navigate the complexities of large-scale Nuxt projects, uncovering the integration of remote Node.js and PHP applications to streamline API and data management processes. Practical insights abound, offering a deep understanding of effective data handling and API management using prominent technologies such as MongoDB, MariaDB, RethinkDB, and GraphQL tailored specifically for Nuxt applications. By the end of the book you will create static site generation (SSG) Nuxt applications paired with WordPress to optimize production performance.Table of Contents1. Introducing Advanced Nuxt Web Development2. Creating Pages, Layouts, Composables, Plugins, Utilities, and Middleware3. Managing Assets and Adding UI Frameworks4. Fetching Data and Handling Errors5. Managing States and Stores6. Managing Data with Nitro Server Engine in Nuxt7. Managing Data with Node.js Apps for Nuxt8. Managing Database with PHP Apps for Nuxt9. Building GraphQL Layers with MongoDB, WordPress, and GraphQL Tools for Nuxt10. Creating SSG Sites with Nuxt and WordPress and Going Further Index

Libere o poder do Node.js para criar aplicativos de servidor escalonáveis ​​e de nível empresarial. Descrição do livro Liberte todo o potencial do Node.js para o desenvolvimento web moderno com este

Unleash the Power of Node.js for Building Enterprise-Grade, Scalable Server-Side Applications.Key Features Master the essentials of building real-time applications with a focus on Node.js, Express.js, Mongoose, Socket.IO, Winston logging, and key middleware. Learn to create lightweight and scalable backend servers, ensuring optimal performance for production-ready applications. Stay ahead of the curve by gaining proficiency in Node.js, positioning yourself for success in a rapidly evolving technological landscape. Quick path to Node.js expertise, providing practical examples and insights to prepare you for the current and future demands of the tech landscape. Book Description Unlock the full potential of Node.js for modern web development with this comprehensive handbook to developing applications and services. The book will cover the fundamentals to advanced techniques, and explore the intricacies of building powerful applications. You will master Express server creation, develop RESTful APIs with efficient routing, and dive into MongoDB for seamless data persistence. It will uncover the nuances of template engines, middleware, and robust authentication methods. Leverage Socket.IO for real-time capabilities and adeptly handle errors with effective logging. The projects will double as versatile boilerplates for kickstarting your own development endeavors. In the later chapter, you will learn Test-Driven Development with Mocha, gain insights into debugging, and perfect the art of building and deploying Node.js applications. Each example in the book adheres to common best practices, providing valuable insights to help you avoid common pitfalls. Designed as both a learning resource and a reference guide, this book equips you with the knowledge to tackle challenging problems at any stage of development. What you will learn Develop a robust Express server to streamline your development process. Delve deep into creating RESTful APIs with efficient routing techniques. Master the utilization of template engines to elevate your project sophistication. Enhance your applications by incorporating middleware for extended capabilities. Harness the power of Socket.IO to add dynamism and interactivity to your projects. Implement Test-Driven Development (TDD) using Mocha to ensure code reliability. Grasp the intricacies of constructing and deploying Node.js applications effectively. Explore the evolving landscape of Node.js, staying at the forefront of emerging web development trends. Table of Contents 1. Getting Started with Node.js 2. Deep Dive into Node.js 3. Introducing Express.js 4. Creating REST API and Routing 5. Working with MongoDB 6. Data Persistence 7. Template Engines 8. Middleware Functions 9. Authentication and Authorization 10. Socket.IO 11. Handling and Logging Errors 12. TDD with Mocha and Chai 13. Debugging 14. Build and Deployments 15. Future Scope Index

Unleash the Power of Node.js for Building Enterprise-Grade, Scalable Server-Side Applications.Book DescriptionUnlock the full potential of Node.js for modern web development with this comprehensive handbook to developing applications and services.The book will cover the fundamentals to advanced techniques, and explore the intricacies of building powerful applications. You will master Express server creation, develop RESTful APIs with efficient routing, and dive into MongoDB for seamless data persistence.It will uncover the nuances of template engines, middleware, and robust authentication methods. Leverage Socket.IO for real-time capabilities and adeptly handle errors with effective logging. The projects will double as versatile boilerplates for kickstarting your own development endeavors.In the later chapter, you will learn Test-Driven Development with Mocha, gain insights into debugging, and perfect the art of building and deploying Node.js applications.Each example in the book adheres to common best practices, providing valuable insights to help you avoid common pitfalls. Designed as both a learning resource and a reference guide, this book equips you with the knowledge to tackle challenging problems at any stage of development.Table of Contents1. Getting Started with Node.js2. Deep Dive into Node.js3. Introducing Express.js4. Creating REST API and Routing5. Working with MongoDB6. Data Persistence7. Template Engines8. Middleware Functions9. Authentication and Authorization10. Socket.IO11. Handling and Logging Errors12. TDD with Mocha and Chai13. Debugging14. Build and Deployments15. Future Scope Index

Master the Art of Building Lightning-Fast and SEO-Friendly Web Applications with Next.js. Key Features Master Next.js 15 from fundamentals to routing and data fetching to SSR, SSG, and API routes. Build high-performance, scalable, and SEO-friendly modern web applications with TypeScript and Tailwind CSS. Follow a complete workflow from setup to testing and deployment on platforms like Vercel and AWS. Book Description Next.js has emerged as the go-to framework for building high-performance, scalable, and SEO-optimized web applications. Ultimate Next.js for Modern Web Applications takes you on a complete, structured journeyfrom setting up your development environment to mastering the advanced features that make Next.js so powerful. You will explore its file-based routing system, dive deep into data fetching, and learn to implement Server-Side Rendering (SSR) and Static Site Generation (SSG) effectively. As you progress, the book guides you through secure API development, authentication and authorization, as well as state management for complex user interactions. Thus, packed with real-world examples, expert insights, and professional workflows, this book bridges the gap between learning and mastery. You will also gain hands-on experience in optimization, testing, and deployment using platforms like Vercel and AWS. By the end, you will not only know how to build with Next.js but also understand how to engineer production-ready, future-proof web applications with confidence and precision. What you will learn Harness the power of Next.js, Typescript and Tailwind CSS to extend React and build modern, lightning-fast web applications. Implement advanced rendering strategies with Server-Side Rendering (SSR), Static Site Generation (SSG), and API Routes. Integrate TypeScript, authentication, and state management for scalable, maintainable, and secure applications. Optimize performance and SEO to deliver blazing-fast, search-friendly user experiences. Deploy with confidence using proven best practices on platforms like Vercel, AWS, and beyond. Build and deliver real-world, production-ready projects that showcase your full-stack expertise.

Master Neural Networks for Building Modern AI Systems.Key Features Comprehensive Coverage of Foundational AI Concepts and Theories. In-Depth Exploration of Maths Behind Neural Network Mathematics. Effective Strategies for Structuring Deep Learning Code. Real-world applications of AI Principles and Techniques. Book Description This book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries. Throughout the chapters, readers are engaged with the book through practice exercises and supplementary learning. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding. This book isnt just about using AI tools; its a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry. What you will learn Leverage TensorFlow and Keras while building the foundation for creating AI pipelines. Explore advanced AI concepts, including dimensionality reduction, unsupervised learning, and optimization techniques. Master the intricacies of neural network construction from the ground up. Dive deeper into neural network development, covering derivatives, backpropagation, and optimization strategies. Harness the power of high-level AI libraries to develop production-ready code, allowing you to accelerate the development of AI applications. Stay up-to-date with the latest breakthroughs and advancements in the dynamic field of artificial intelligence. Who is this book for? This book serves as an ideal guide for software engineers eager to explore AI, offering a detailed exploration and practical application of AI concepts using Python. AI researchers will find this book enlightening, providing clear insights into the mathematical concepts underlying AI algorithms and aiding in writing production-level code. This book is designed to enhance your skills and knowledge to create sophisticated, AI-powered solutions and advance in the multifaceted field of AI. Table of Contents 1. Understanding AI History 2. Setting up Python Workflow for AI Development 3. Python Libraries for Data Scientists 4. Foundational Concepts for Effective Neural Network Training 5. Dimensionality Reduction, Unsupervised Learning and Optimizations 6. Building Deep Neural Networks from Scratch 7. Derivatives, Backpropagation, and Optimizers 8. Understanding Convolution and CNN Architectures 9. Understanding Basics of TensorFlow and Keras 10. Building End-to-end Image Segmentation Pipeline 11. Latest Advancements in AI Index

Master Neural Networks for Building Modern AI Systems.DESCRIPTIONThis book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries.Throughout the chapters, readers are engaged with the book through practice exercises and supplementary learning. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding.This book isnt just about using AI tools; its a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry.TABLE OF CONTENTS 1. Understanding AI History2. Setting up Python Workflow for AI Development3. Python Libraries for Data Scientists4. Foundational Concepts for Effective Neural Network Training5. Dimensionality Reduction, Unsupervised Learning and Optimizations6. Building Deep Neural Networks from Scratch7. Derivatives, Backpropagation, and Optimizers8. Understanding Convolution and CNN Architectures9. Understanding the Basics of TensorFlow and Keras10. Building End-to-end Image Segmentation Pipeline11. Latest Advancements in AI Index

Your One-stop Destination to Learn NLP Theory and Build Real-life Use Cases and Projects! Key Features Learn NLP from scratch with exposure to Deep Learning concepts. Build NLP-based projects using the latest frameworks and libraries. Define AI-based use cases from scratch, and build NLP applications. Book Description Natural Language Processing (NLP) is at the core of modern AI, powering everything from chatbots to recommendation systems. Ultimate Natural Language Processing with spaCy and Hugging Face is a practical guide that takes you from essential NLP foundations to advanced transformer models and large language applications, equipping you to build real-world AI projects with confidence. You begin with the fundamentalstokenization, lemmatization, Bag-of-Words, TF-IDF, embeddings, POS tagging, and Named Entity Recognitionand apply them to practical use cases such as sentiment analysis, topic classification, and text classification. The book then moves into Deep Learning for NLP with hands-on coding of CNNs, RNNs, and LSTMs, progressing from theory to applied projects. spaCy is explored in depth, with guidance on building and customizing pipelines for NER, POS tagging, and sentiment analysis. Real-world projects, including extracting dates and events from news articles, ensure that every concept connects to practical applications. The journey concludes with Hugging Face and transformers, where you train and fine-tune models for summarization, classification, and recommendation. Large Language Models (LLMs) such as GPT, Llama, and Claude are introduced alongside efficient training techniques like LoRA and Retrieval-Augmented Generation. By the end, you will gain the confidence to design and deploy responsible AI-powered solutions. What you will learn Understand NLP fundamentals, including embeddings, POS tagging and NER. Implement CNN, RNN and LSTM models for text applications. Create and customize spaCy pipelines for real-world NLP tasks. Train and fine-tune transformer models using Hugging Face tools. Apply large language models to build AI-powered applications. Discover responsible AI, RAG and upcoming NLP practices.

Unlock Next-Level Scalable App Development with Monorepo and BazelKey Features Unleash the transformative power of Monorepos with Bazel, revolutionizing your development workflow. Elevate your build system to unmatched levels of efficiency and reliability through comprehensive Bazel mastery. Propel yourself into the future of software development by mastering Bazel and harnessing the potential of Monorepo architecture. Optimize your builds for peak efficiency and unwavering reliability with expert insights and techniques in Bazel utilization. Unlock the gateway to scalable applications by leveraging the dynamic synergy of Bazel and Monorepo for unparalleled success. Book DescriptionUltimate Scalable Monorepo Apps with Bazel" is the go-to guide for developers and engineers looking to maximize the potential of Bazel within a monorepo setup. It explores the intricacies of building large-scale applications, contrasting the monorepo approach with polyrepo setups and highlighting benefits like streamlined dependency management and improved collaboration. Through practical examples and real-world case studies, youll learn how to harness Bazels features for faster build times and consistent results across environments. Structured to cover all aspects of Bazel and monorepo development, from initial setup to advanced topics like custom rule creation and dependency management, this book provides actionable insights to enhance your development workflow. This guide equips you with the knowledge and skills to efficiently manage large codebases and contribute to more robust, scalable, and maintainable software projects. By the end, readers will be equipped to efficiently manage large codebases, leverage Bazels capabilities to speed up build and test processes, and ultimately, contribute to more robust, scalable, and maintainable software projects. What you will learn Understand the fundamentals and importance of Bazel in modern development practices. Dive into the essentials of setting up and configuring Bazel for your projects. Explore the intricacies of defining build rules and optimizing configurations for efficient builds. Learn strategies for designing and executing scalable and comprehensive tests within a monorepo environment. Table of Contents 1. Introduction 2. Getting Started with Bazel 3. Bazel Build Rules and Configuration 4. Testing Strategies in a Monorepo 5. Dependency Management and Versioning 6. Hello-World Using Other Languages and Platforms 7. Streamlining Development Workflow 8. Structuring Monorepos for Success 9. Managing Large Codebases and Scale 10. Building and Deploying Services 11. Monitoring and Debugging Bazel 12. Advanced Bazel Concepts 13. Case Studies and Real-World Examples 14. Future Trends and Considerations APPENDIX A Bazel Cheat Sheet APPENDIX B Additional Resources Index