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This book will aid you in your learning of the Python 3.x programming language. The chapters in this book will benefit every aspect of a programmer's or developer's life by preparing them to solve problems using Python programming and its key data structures and internals.This book explains the built-in and user-defined data structures in Python 3.x. The book begins by introducing Python, its fundamental data structures, and asymptotic notations. Once you master the fundamentals of Python, you'll be able to fully comprehend the built-in data structures. The book covers real-world applications to understand user-defined data structures and their actual implementation. Towards the end, it will help you investigate how to solve practical problems by first comprehending the issue at hand.After reading this book, you will be able to identify data structures and utilize them to solve a specific problem. You will learn about various algorithm implementations in Python and use this knowledge to advance your Python skills.TABLE OF CONTENTS1. Python2. Data Types3. Algorithm Analysis4. Data Structure Introduction5. List6. Dictionary7. Tuple8. Sets9. Arrays10. Stack11. Queue12. Trees13. Linked Lists14. Graphs15. HashMaps16. Practical Problem Solutions

'iOS Development with SwiftUI' focuses on teaching and practicing the use of SwiftUI for developing iOS applications that leverage the latest iOS features.To begin, the book covers the fundamentals of SwiftUI and its core functionalities and how to write UI without having to worry much about it. It explains the fundamental Swift syntax, data types, control statements, functions, classes, and structures, as well as methods, protocols, and closures. The book covers expert tips for adding animations with a single line of code, as well as some SwiftUI transitions. Then, through a dissection of an iOS application, it teaches how to create APIs and implement API calls. It also covers widgets, App Clip development, web banner creation, and how the app communicates with the App Clip.The book will help demonstrate how to integrate XCTest into your application for both UI and unit testing and how to write your test case and prepare the application for general use.At the end of the book, you will be able to write an iOS application in SwiftUI and gain some experience to call API or web services using combine.TABLE OF CONTENTS1. What is SwiftUI 2. Basics of Swift 3. Anatomy of the Basics of SwiftUI Projects 4. Introduction to SwiftUI Basic Controls and User Input 5. State Properties,Observable, Environment Objects, and Combine Framework 6. Stacks of Views Using VStack, HStack , And ZStack7. Work with Lists and Navigation. 8. SwiftUI with UIKit9. UIKit with SwiftUI10. UI Logic of the MVVM Architecture and Networking11. Drawing in SwiftUI12. Animations and Transitions in SwiftUI13. App Clip14. Widgets

These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book "Data Analytics: Principles, Tools, and Practices" can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science.TABLE OF CONTENTS1. Database Management System2. Online Transaction Processing and Data Warehouse3. Business Intelligence and its deeper dynamics4. Introduction to Data Visualization5. Advanced Data Visualization6. Introduction to Big Data and Hadoop7. Application of Big Data Real Use Cases8. Application of Big Data9. Introduction to Machine Learning10. Advanced Concepts to Machine Learning11. Application of Machine Learning

"How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do.This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM and Microsoft TDSP. The book explains the significance of these processes in connection with the high failure rate of Data Science projects.The book helps build a solid foundation in Data Science concepts and related frameworks. It teaches how to implement real-world use cases using data from the HMDA dataset. It explains Azure ML Service architecture, its capabilities, and implementation to the DS team, who will then be prepared to implement MLOps. The book also explains how to use Azure DevOps to make the process repeatable while we're at it.By the end of this book, you will learn strong Python coding skills, gain a firm grasp of concepts such as feature engineering, create insightful visualizations and become acquainted with techniques for building machine learning models. TABLE OF CONTENTS1. Data Science for Business2. Data Science Project Methodologies and Team Processes3. Business Understanding and Its Data Landscape4. Acquire, Explore, and Analyze Data5. Pre-processing and Preparing Data6. Developing a Machine Learning Model7. Lap Around Azure ML Service8. Deploying and Managing Models

Internals of Python 3.x transform a programmer's learning path by emphasizing the source code over the syntax to teach things from the ground up in nearly the same amount of time and effort.The book delves into the structure and distinctions between the primary Python object and iterable objects. The iterable types, namely, lists and tuples, have been thoroughly defined in the structure and operations. The internals of sets and dictionaries, which are data structures that provide O(1) insertion and search, have been thoroughly discussed. Memory allocation explains how Python handles memory for tiny and large objects. The chapter on GIL explains how the GIL works, which is halted by a semaphore and a conditional variable. The chapter on Async Python describes how the async module generates coroutines and async functions that can be executed on an event loop and interact through events.After reading this book, you will be more confident to create high-performance code on a day-to-day basis.¿TABLE OF CONTENTS1. Design of Generic Objects2. Basic Python Types3. Iterable Sequence Objects4. Set and Dictionary5. Functions and Generators6. Memory Management7. Interpreter and Opcodes8. GIL and Multithreading9. Async Python10. Source Code Layout and the Compiler Stages

'Learn to Code with Scratch' prepares your child to begin building cool apps, games, animated stories, quizzes, and a variety of other enjoyable applications. This book teaches your child what a programme is and how it works using Scratch, a comprehensive visual programming language.This book teaches your child how to connect various code blocks and establish the program's logic by using seven distinct games and applications, including a haunted party, a talking robot, a mystical story, and a humorous quiz game. You will learn how to write and create a programme in Scratch and how to run your programme and save and share it with your loved ones.**Special treats for kids:**¿ Tens of games, stories, and animations are created from the start.¿ A comprehensive course covering all of the interesting features included in Scratch 3.0 programming.¿ Instructions in vibrant colors and a simple navigation system guides you through the fundamental fundamentals of coding.TABLE OF CONTENTS1. What is Coding and how To code2. What Is Scratch3. Talking Robot4. Flying Cat5. The Haunted party6. Colourful City7. Funny Quiz Game8. Magic Story9. Our Solar System

How can some businesses survive centuries while hundreds collapse every year - from micro-enterprises to global brands? A brand's journey to grow and maintain loyal supporters is one of the timeless foundations for every company that its customer teams need to know.'Modern Marketing Using AI' covers it all by taking a customer perspective to look at best practices, industry-leading strategies, technologies, and their timing to maximise the value of a brand. The book starts with an overview of a brand journey, how marketing, sales, and customer success work at each stage, and why the usage of AI in this field has become a need. It then dives into each stage, teaching us how to validate a product, define the brand, expand its visibility, and turn customers into fans with AI-led marketing techniques for channels, accounts, referrals, affiliates, influencers, social media and much more. At every stage, it highlights brand stories and how operational automation and insights can be leveraged for marketing. We conclude with guidelines on how marketers can prepare for AI and even estimate its impact on their jobs.

This book assists project management professionals in resolving project crashing situations through linear programming. It demonstrates how the PM team can help streamline the project''s on-time completion and cost optimization.The book begins with understanding project management processes and frameworks such as WBS, PDM, and EVM. The book helps build familiarity with the PM team''s procedures to monitor a project. It helps investigate linear programming problems (LPPs) and the mathematical foundations for their formulation. It covers various approaches to solving the LPP, including graphical methods, their limitations, and the necessity of tools such as MS Excel''s Solver. It also covers how the PM team can solve LPP with the help of Solver.This book covers various business and technical scenarios for crashing a project. It teaches how to formulate the problem of optimizing a project for time and cost using LPP. This book then discusses how LPP can be solved using Solver and more complex issues. It also explores the relationship between earned value management and crashing a project.TABLE OF CONTENTS1. Project Scheduling2. Earned Value Method3. Linear Programming Problems4. Crashing a Project5. Using LPP to Crash a Project6. More Complex Problems7. Linking EVM and LPP8. Annexure I: Microsoft Excel Basics9. Annexure II: Advanced Methods of Crashing a Project