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Podcasts
Ivan Idris, Luiz Felipe Martins, Martin Czygan, Phuong Vo.T.H, ...
Data analysis is the process of applying logical and analytical reasoning to study each component of data present in the system. Python is a multi-domain, high-level, programming language that offers a range of tools and libraries suitable for all purposes, it has slowly evolved as one of the primary languages for data science. Have you ever imagined becoming an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? If yes, look no further, this is the course you need!In this course, we will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing color maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithms and correlations. You’ll then find your way around different data and numerical problems, get to grips with Spark and HDFS, and set up migration scripts for web mining. You’ll be able to quickly and accurately perform hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. Finally, you will delve into advanced techniques such as performing regression, quantifying cause and effect using Bayesian methods, and discovering how to use Python’s tools for supervised machine learning.The course provides you with highly practical content explaining data analysis with Python, from the following Packt books:1. Getting Started with Python Data Analysis.2. Python Data Analysis Cookbook.3. Mastering Python Data Analysis.By the end of this course, you will have all the knowledge you need to analyze your data with varying complexity levels, and turn it into actionable insights.
The role of the Technical Program Manager (TPM) is crucial in the tech industry, bridging the gap between technical expertise and business acumen. The second edition of the Technical Program Manager’s Handbook offers a comprehensive guide to excelling in this role. Building on the foundational concepts from the first edition, this updated version introduces new chapters that explore the integration of AI and Emotional Intelligence (EI) in program management. These crucial additions complement the broader focus of the book on bridging business and technology but don’t overshadow it. You'll learn how to apply AI-driven tools to enhance project planning, risk management, and stakeholder communication, as well as how to leverage EI to build strong team relationships and improve leadership effectiveness.This book provides practical tools, methodologies, and case studies, offering insights from industry leaders to help both aspiring and practicing TPMs apply advanced concepts and strategies effectively. It also explores the unique aspects of the TPM role in major tech companies, helping you to navigate and thrive in your career.By the end of this book, you'll have a clear understanding of the TPM role, along with a breakdown of the necessary technical and program management skills, to develop a clear roadmap for your career.
Getting Started with Docker. Master the Art of Containerization with Docker
Embark on an exciting journey into the realm of Docker, where you'll discover the transformative potential of containerization. The course begins with an introduction to containers, providing a solid foundation for understanding their importance in modern software development. You'll then learn how to install Docker, setting up your environment for success.As you progress, you'll run your first container, gaining hands-on experience with Docker's core functionalities. The course delves into containerizing applications, offering practical insights into creating and managing Docker images. You'll explore Docker registries, learning how to store and share your images efficiently.The adventure continues with multi-container applications using Docker Compose. You'll master the skills needed to orchestrate complex applications, ensuring smooth integration and deployment. The course also introduces Docker's integration with WebAssembly, showcasing cutting-edge techniques to further enhance your development process. By the end, you'll be equipped with the knowledge and confidence to take your containerization skills to the next level.
Written by Eyal Wirsansky, a senior data scientist and AI researcher with over 25 years of experience and a research background in genetic algorithms and neural networks, Hands-On Genetic Algorithms with Python offers expert insights and practical knowledge to master genetic algorithms.After an introduction to genetic algorithms and their principles of operation, you’ll find out how they differ from traditional algorithms and the types of problems they can solve, followed by applying them to search and optimization tasks such as planning, scheduling, gaming, and analytics. As you progress, you’ll delve into explainable AI and apply genetic algorithms to AI to improve machine learning and deep learning models, as well as tackle reinforcement learning and NLP tasks. This updated second edition further expands on applying genetic algorithms to NLP and XAI and speeding up genetic algorithms with concurrency and cloud computing. You’ll also get to grips with the NEAT algorithm. The book concludes with an image reconstruction project and other related technologies for future applications.By the end of this book, you’ll have gained hands-on experience in applying genetic algorithms across a variety of fields, with emphasis on artificial intelligence with Python.
RubyMotion is a revolutionary toolchain for iOS app development. With RubyMotion, you can quickly develop and test native iOS apps for the iPhone and iPad, combining the expressiveness and simplicity of Ruby with the power of the iOS SDK.RubyMotion iOS Development Essentials is a hands-on guide for developing iOS apps using RubyMotion. With RubyMotion, you can eliminate the complexity and confusion associated with the development of iOS applications using Objective-C.We'll begin from scratch. Starting by installing RubyMotion, we'll build ourselves up to developing an app that uses the various device capabilities iOS has to offer. What's more, we'll even learn how to launch your app on the App Store!We'll also learn to use iOS SDK classes to create application views. Discover how to use the camera, geolocation, gestures, and other device capabilities to create engaging, interactive apps. We'll develop stunning user interfaces faster with the XCode interface builder and make web apps by using WebView. We'll then augment applications with RubyMotion gems, doing more by writing less code and learn how to write test cases for RubyMotion projects. Finally, we'll understand the app submission process to push your app to Apple's App StoreWith RubyMotion iOS Development Essentials, we will learn how to create iOS apps with ease. At the end of each chapter we will have a tangible and running app, which utilizes the concepts we have learnt in that chapter.
Burp Suite Cookbook. Web application security made easy with Burp Suite - Second Edition
With its many features, easy-to-use interface, and fl exibility, Burp Suite is the top choice for professionals looking to strengthen web application and API security.This book off ers solutions to challenges related to identifying, testing, and exploiting vulnerabilities in web applications and APIs. It provides guidance on identifying security weaknesses in diverse environments by using diff erent test cases. Once you’ve learned how to confi gure Burp Suite, the book will demonstrate the eff ective utilization of its tools, such as Live tasks, Scanner, Intruder, Repeater, and Decoder, enabling you to evaluate the security vulnerability of target applications. Additionally, you’ll explore various Burp extensions and the latest features of Burp Suite, including DOM Invader.By the end of this book, you’ll have acquired the skills needed to confi dently use Burp Suite to conduct comprehensive security assessments of web applications and APIs.
Google Flutter is a cross-platform mobile framework that makes it easy to write high-performance apps for Android and iOS. This book will help you get to grips with the basics of the Flutter framework and the Dart programming language.Starting from setting up your development environment, you’ll learn to design the UI and add user input functions. You'll explore the navigator widget to manage app routes and learn to add transitions between screens. The book will even guide you through developing your own plugin and later, you’ll discover how to structure good plugin code. Using the Google Places API, you'll also understand how to display a map in the app and add markers and interactions to it. You’ll then learn to improve the user experience with features such as map integrations, platform-specific code with native languages, and personalized animation options for designing intuitive UIs.The book follows a practical approach and gives you access to all relevant code files hosted at github.com/PacktPublishing/Flutter-for-Beginners. This will help you access a variety of examples and prepare your own bug-free apps, ready to deploy on the App Store and Google Play Store.By the end of this book, you’ll be well-versed with Dart programming and have the skills to develop your own mobile apps or build a career as a Dart and Flutter app developer.
The Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models. This book aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and help you build better predictive systems.Machine Learning for Time-Series with Python starts by re-introducing the basics of time series and then builds your understanding of traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering.This book will also guide you in matching the right model to the right problem by explaining the theory behind several useful models. You’ll also have a look at real-world case studies covering weather, traffic, biking, and stock market data.By the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time-series.
With the arrival of Visual Studio Tools for Office 3.0 (VSTO), developers can now program Microsoft Office from the .NET framework. There are huge books in the market that give loads of unnecessary information but are of no real help to brand-new Office developers. Wouldn't it be great to have a precise book that simply covers the basics and introduces programming Office 2007 with VSTO using the latest version of Visual Studio? This is that book.VSTO 3.0 for Office 2007 Programming shows you how to write Office 2007 applications with Visual Studio Tools for Office 3.0. Learn how to automate tasks in InfoPath, Word, Excel, Outlook, PowerPoint, Visio, and Project 2007 with greater programming power and flexibility than was available from the VBA language. With this book and the mastery of VSTO you will learn, Office will no longer be an application to you; it will be a platform for developing custom applications.VSTO 3 is the most recent version of VSTO, making use of Visual Studio 2008, and working with Office 2007. This book shows how VSTO puts Office automation into the hands of developers, allowing them to use the power of the .NET framework to automate Office applications thus increasing the speed of the applications, their security, and the opportunity to use other parts of the .NET Framework such as its data handling capabilities.This book builds a solid programming foundation in VSTO for brand-new Office developers. You will leave behind the world of VBA programming and take your first steps into the powerful and exciting world of using C# to create Office 2007 applications. Packed with examples and covering all the main Office applications, this book will have you creating fully featured Office extensions before you know it.
The AWS Certified Machine Learning Specialty (MLS-C01) exam evaluates your ability to execute machine learning tasks on AWS infrastructure. This comprehensive book aligns with the latest exam syllabus, offering practical examples to support your real-world machine learning projects on AWS. Additionally, you'll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices—PCs, tablets, and smartphones.Throughout the book, you’ll learn data preparation techniques for machine learning, covering diverse methods for data manipulation and transformation across different variable types. Addressing challenges such as missing data and outliers, the book guides you through an array of machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, accompanied by requisite machine learning algorithms essential for exam success. The book helps you master the deployment of models in production environments and their subsequent monitoring.Equipped with insights from this book and the accompanying mock exams, you'll be fully prepared to achieve the AWS MLS-C01 certification.
Stepping into the role of a Cybersecurity Architect (CSA) is no mean feat; it requires both upskilling and a fundamental shift in how you view cybersecurity. Written by a seasoned cybersecurity expert with over two decades of experience spanning the public and private sectors, this all-encompassing guide outlines an accessible a path for cybersecurity engineers and newcomers to evolve into architects, sharing best practices to enhance your skills.After a brief introduction to the role and foundational concepts, this book will help you understand the day-to-day challenges faced by CSAs, supported by practical examples. You'll gain insights into assessing and improving your organization’s security posture, including system, hardware, and software security. You'll also learn how to set user and system policies and protocols through effective monitoring and enforcement, and understanding countermeasures that protect the system from unauthorized access attempts.To prepare you for the road ahead and augment your existing skills, the book provides invaluable tips and practices that will contribute to your success as a CSA. By the end of this book, you’ll be well-equipped to take up the CSA role and execute robust security solutions.
Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, ...
Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models.Starting with an introduction to RL, youÔÇÖll be guided through different RL environments and frameworks. YouÔÇÖll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once youÔÇÖve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, youÔÇÖll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, youÔÇÖll find out when to use a policy-based method to tackle an RL problem.By the end of The Reinforcement Learning Workshop, youÔÇÖll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning.
Flutter is a UI toolkit for building beautiful, natively compiled applications for mobile, web, desktop, and embedded devices from a single code base. With Flutter, you can write your code once and run it anywhere using a single code base to target multiple platforms. This book is a comprehensive, project-based guide for new and emerging Flutter developers that will help empower you to build bulletproof applications.Once you start reading book, you’ll quickly realize what sets Flutter apart from its competition and establish some of the fundamentals of the toolkit. As you work on various project applications, you’ll understand just how easy Flutter is to use for building stunning UIs. This book covers navigation strategies, state management, advanced animation handling, and the two main UI design styles: Material and Cupertino. It’ll help you extend your knowledge with good code practices, UI testing strategies, and CI setup to constantly keep your repository’s quality at the highest level possible.By the end of this book, you'll feel confident in your ability to transfer the lessons from the example projects and build your own Flutter applications for any platform you wish.
Ryan T. White, Archana Tikayat Ray
Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks.Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level.As you learn the language of discrete mathematics, you’ll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you’ll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science.By the end of this book, you’ll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.