Python Data Science Essentials. Become an efficient data science practitioner by thoroughly understanding the key concepts of Python

Alberto Boschetti, Luca Massaron

The book starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results.In this walkthrough, structured as a data science project, you will always be accompanied by clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.

The Python Workshop. Write Python code to solve challenging real-world problems - Second Edition

Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, ...

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed.This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact.By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.

Swift Essentials. Discover how to build iOS and watchOS applications in Swift 2 using Xcode - Second Edition

Alex Blewitt

Swift was considered one of the biggest innovations last year, and certainly with Swift 2 announced at WWDC in 2015, this segment of the developer space will continue to be hot and dominating. This is a fast-paced guide to provide an overview of Swift programming and then walks you through in detail how to write iOS applications. Progress through chapters on custom views, networking, parsing and build a complete application as a Git repository, all by using Swift as the core language

Getting Started with Talend Open Studio for Data Integration. This is the complete course for anybody who wants to get to grips with Talend Open Studio for Data Integration. From the basics of transferring data to complex integration processes, it will give you a head start

Jonathan Bowen

Talend Open Studio for Data Integration (TOS) is an open source graphical development environment for creating custom integrations between systems. It comes with over 600 pre-built connectors that make it quick and easy to connect databases, transform files, load data, move, copy and rename files and connect individual components in order to define complex integration processes.Getting Started with Talend Open Studio for Data Integration illustrates common uses and scenarios in a simple, practical manner and, building on knowledge as the book progresses, works towards more complex integration solutions.TOS is a code generator and so does a lot of the heavy liftingù for you. As such, it is a suitable tool for experienced developers and non-developers alike. You'll start by learning how to construct some common integrations tasks ñ transforming files and extracting data from a database, for example. These building blocks form a toolkitù of techniques that you will learn how to apply in many different situations.By the end of the book, once complex integrations will appear easy and you will be your organization's integration expert!Best of all, TOS makes integrating systems fun!

Web Development with Julia and Genie. A hands-on guide to high-performance server-side web development with the Julia programming language

Ivo Balbaert, Adrian Salceanu, Logan Kilpatrick

Julia’s high-performance and scalability characteristics and its extensive number of packages for visualizing data make it an excellent fit for developing web apps, web services, and web dashboards. The two parts of this book provide complete coverage to build your skills in web development.First, you'll refresh your knowledge of the main concepts in Julia that will further be used in web development. Then, you’ll use Julia’s standard web packages and examine how the building blocks of the web such as TCP-IP, web sockets, HTTP protocol, and so on are implemented in Julia’s standard library. Each topic is discussed and developed into code that you can apply in new projects, from static websites to dashboards. You’ll also understand how to choose the right Julia framework for a project. The second part of the book talks about the Genie framework. You’ll learn how to build a traditional to do app following the MVC design pattern. Next, you’ll add a REST API to this project, including testing and documentation. Later, you’ll explore the various ways of deploying an app in production, including authentication functionality. Finally, you’ll work on an interactive data dashboard, making various chart types and filters.By the end of this book, you’ll be able to build interactive web solutions on a large scale with a Julia-based web framework.

IoT Edge Computing with MicroK8s. A hands-on approach to building, deploying, and distributing production-ready Kubernetes on IoT and Edge platforms

Karthikeyan Shanmugam

Are you facing challenges with developing, deploying, monitoring, clustering, storing, securing, and managing Kubernetes in production environments as you're not familiar with infrastructure technologies? MicroK8s - a zero-ops, lightweight, and CNCF-compliant Kubernetes with a small footprint is the apt solution for you.This book gets you up and running with production-grade, highly available (HA) Kubernetes clusters on MicroK8s using best practices and examples based on IoT and edge computing.Beginning with an introduction to Kubernetes, MicroK8s, and IoT and edge computing architectures, this book shows you how to install, deploy sample apps, and enable add-ons (like DNS and dashboard) on the MicroK8s platform. You’ll work with multi-node Kubernetes clusters on Raspberry Pi and networking plugins (such as Calico and Cilium) and implement service mesh, load balancing with MetalLB and Ingress, and AI/ML workloads on MicroK8s. You’ll also understand how to secure containers, monitor infrastructure and apps with Prometheus, Grafana, and the ELK stack, manage storage replication with OpenEBS, resist component failure using a HA cluster, and more, as well as take a sneak peek into future trends.By the end of this book, you’ll be able to use MicroK8 to build and implement scenarios for IoT and edge computing workloads in a production environment.

Windows Ransomware Detection and Protection. Securing Windows endpoints, the cloud, and infrastructure using Microsoft Intune, Sentinel, and Defender

Marius Sandbu

If you’re looking for an effective way to secure your environment against ransomware attacks, this is the book for you. From teaching you how to monitor security threats to establishing countermeasures to protect against ransomware attacks, Windows Ransomware Detection and Protection has it all covered.The book begins by helping you understand how ransomware attacks work, identifying different attack vectors, and showing you how to build a secure network foundation and Windows environment. You’ll then explore ransomware countermeasures in different segments, such as Identity and Access Management, networking, Endpoint Manager, cloud, and infrastructure, and learn how to protect against attacks. As you move forward, you’ll get to grips with the forensics involved in making important considerations when your system is attacked or compromised with ransomware, the steps you should follow, and how you can monitor the threat landscape for future threats by exploring different online data sources and building processes.By the end of this ransomware book, you’ll have learned how configuration settings and scripts can be used to protect Windows from ransomware attacks with 50 tips on security settings to secure your Windows workload.

Hands-On Financial Modeling with Excel for Microsoft 365. Build your own practical financial models for effective forecasting, valuation, trading, and growth analysis - Second Edition

Shmuel Oluwa

Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Excel for Microsoft 365 explores financial modeling terminologies with the help of Excel.Starting with the key concepts of Excel, such as formulas and functions, this updated second edition will help you to learn all about referencing frameworks and other advanced components for building financial models. As you proceed, you'll explore the advantages of Power Query, learn how to prepare a 3-statement model, inspect your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. Next, you'll learn how to deal with iterations and provide graphical representations of ratios, before covering best practices for effective model testing. Later, you'll discover how to build a model to extract a statement of comprehensive income and financial position, and understand capital budgeting with the help of end-to-end case studies.By the end of this financial modeling Excel book, you'll have examined data from various use cases and have developed the skills you need to build financial models to extract the information required to make informed business decisions.

Penetration Testing with the Bash shell. Make the most of Bash shell and Kali Linux’s command line based security assessment tools

Keith Harald Esrick Makan

DIY Microcontroller Projects for Hobbyists. The ultimate project-based guide to building real-world embedded applications in C and C++ programming

Miguel Angel Garcia-Ruiz, Pedro Cesar Santana Mancilla

We live in a world surrounded by electronic devices, and microcontrollers are the brains of these devices. Microcontroller programming is an essential skill in the era of the Internet of Things (IoT), and this book helps you to get up to speed with it by working through projects for designing and developing embedded apps with microcontroller boards.DIY Microcontroller Projects for Hobbyists are filled with microcontroller programming C and C++ language constructs. You'll discover how to use the Blue Pill (containing a type of STM32 microcontroller) and Curiosity Nano (containing a type of PIC microcontroller) boards for executing your projects as PIC is a beginner-level board and STM-32 is an ARM Cortex-based board. Later, you'll explore the fundamentals of digital electronics and microcontroller board programming. The book uses examples such as measuring humidity and temperature in an environment to help you gain hands-on project experience. You'll build on your knowledge as you create IoT projects by applying more complex sensors. Finally, you'll find out how to plan for a microcontroller-based project and troubleshoot it.By the end of this book, you'll have developed a firm foundation in electronics and practical PIC and STM32 microcontroller programming and interfacing, adding valuable skills to your professional portfolio.

Running Effective Marketing Meetings. A how-to guide to run marketing meetings that teach, inspire, and change how you and your team work

Daniel Kuperman

Docker Cookbook. Over 100 practical and insightful recipes to build distributed applications with Docker - Second Edition

Ken Cochrane, Jeeva S. Chelladhurai, Neependra K Khare

Docker is an open source tool used for creating, deploying, and running applications using containers. With more than 100 self-contained tutorials, this book examines common pain points and best practices for developers building distributed applications with Docker. Each recipe in this book addresses a specific problem and offers a proven, best practice solution with insights into how it works, so that you can modify the code and configuration files to suit your needs.The Docker Cookbook begins by guiding you in setting up Docker in different environments and explains how to work with its containers and images. You’ll understand Docker orchestration, networking, security, and hosting platforms for effective collaboration and efficient deployment. The book also covers tips and tricks and new Docker features that support a range of other cloud offerings.By the end of this book, you’ll be able to package and deploy end-to-end distributed applications with Docker and be well-versed with best practice solutions for common development problems.

De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning

Seaport AI

Beginning with basic concepts like central tendency, dispersion, and types of distribution, this course will help you build a robust understanding of data analysis. It progresses to more advanced topics, including hypothesis testing, outliers, and the intricacies of dependent versus independent variables, ensuring you grasp the statistical tools necessary for data-driven decision-making.Moving ahead, you'll explore the mathematical frameworks crucial for machine learning algorithms. Learn about the significance of percentiles, the distinction between population and sample, and the vital role of precision versus accuracy in data science. Chapters on linear algebra and regression will enhance your ability to implement and interpret complex models, while practical lessons on measuring algorithm accuracy and understanding key machine learning concepts will round out your expertise.The course culminates with an in-depth look at specific machine learning techniques such as decision trees, k-nearest neighbors (kNN), and gradient descent. Each chapter builds on the last, guiding you through a logical progression of knowledge and skills. By the end, you will have not only mastered the theoretical aspects but also gained practical insights into applying these techniques in real-world scenarios.

Gnucash 2.4 Small Business Accounting: Beginner's Guide. Manage your accounts with this desktop financial manager application

Ashok Ramachandran, Christian Stimming

Attention, small business owners! Stop tax-day stress. Stop procrastinating with a shoebox full of receipts. Stop reinventing the wheel with a spreadsheet. Stop making decisions simply on a hunch. Stop wasting money on software that is overkill. Start by downloading GnuCash and getting your accounts in order. Designed to be easy to use, yet powerful and flexible, GnuCash allows you to track bank accounts, income, and expenses. As quick and intuitive to use as a checkbook register, it is based on professional accounting principles to ensure balanced books and accurate reports. You can do it and Gnucash 2.4 Small Business Accounting Beginner's Guide will help you get up and running with maintaining your accounts.Gnucash 2.4 Small Business Accounting Beginner's Guide speaks business language, not accountant-speak, because it is written by a former small business owner. It guides you to use GnuCash from scratch with step-by-step tutorials without jargon, pointing out the gotchas to avoid with lots of tips. It will teach you to work on routine business transactions while migrating transaction data from other applications gradually. You will be able to keep on top of transactions and run reports after reading just three chapters!Beyond Chapter 3, it is up to you how far you want to go. Reconcile with your bank and credit card statements. Charge and pay sales tax. Do invoicing. Track payments due. Set up reminders for bills. Avoid stress at tax time. Print checks. Capture expenses using your mobile phone.Gnucash 2.4 Small Business Accounting Beginner's Guide gives you the power. Know your numbers. Make decisions with confidence. Drive your business to its full potential.

JavaScript and JSON Essentials. Build light weight, scalable, and faster web applications with the power of JSON - Second Edition

Bruno Joseph D'mello, Sai S Sriparasa

JSON is an established and standard format used to exchange data. This book shows how JSON plays different roles in full web development through examples. By the end of this book, you'll have a new perspective on providing solutions for your applications and handling their complexities.After establishing a strong basic foundation with JSON, you'll learn to build frontend apps by creating a carousel. Next, you'll learn to implement JSON with Angular 5, Node.js, template embedding, and composer.json in PHP. This book will also help you implement Hapi.js (known for its JSON-configurable architecture) for server-side scripting.You'll learn to implement JSON for real-time apps using Kafka, as well as how to implement JSON for a task runner, and for MongoDB BSON storage. The book ends with some case studies on JSON formats to help you sharpen your creativity by exploring futuristic JSON implementations. By the end of the book, you'll be up and running with all the essential features of JSON and JavaScript and able to build fast, scalable, and efficient web applications.

BeagleBone Essentials. Harness the power of the BeagleBone Black to manage external environments using C, Bash, and Python/PHP programming

Rodolfo Giometti

Leaflet.js Essentials. Create interactive, mobile-friendly mapping applications using the incredibly light yet powerful Leaflet.js platform

Paul Crickard III, Paul Crickard

Procedural Content Generation for C++ Game Development. Get to know techniques and approaches to procedurally generate game content in C++ using Simple and Fast Multimedia Library

Dale Green

Procedural generation is a growing trend in game development. It allows developers to create games that are bigger and more dynamic, giving the games a higher level of replayability. Procedural generation isn’t just one technique, it’s a collection of techniques and approaches that are used together to create dynamic systems and objects. C++ is the industry-standard programming language to write computer games. It’s at the heart of most engines, and is incredibly powerful. SFML is an easy-to-use, cross-platform, and open-source multimedia library. Access to computer hardware is broken into succinct modules, making it a great choice if you want to develop cross-platform games with ease.Using C++ and SFML technologies, this book will guide you through the techniques and approaches used to generate content procedurally within game development. Throughout the course of this book, we’ll look at examples of these technologies, starting with setting up a roguelike project using the C++ template. We’ll then move on to using RNG with C++ data types and randomly scattering objects within a game map. We will create simple console examples to implement in a real game by creating unique and randomised game items, dynamic sprites, and effects, and procedurally generating game events. Then we will walk you through generating random game maps. At the end, we will have a retrospective look at the project. By the end of the book, not only will you have a solid understanding of procedural generation, but you’ll also have a working roguelike game that you will have extended using the examples provided.

Journey to Become a Google Cloud Machine Learning Engineer. Build the mind and hand of a Google Certified ML professional

Logan Song

This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer.The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional.The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together.The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate.

Odoo Development Essentials. Fast track your development skills to build powerful Odoo business applications

Stephane Wirtel, Daniel Reis

Learning Tableau 2020. Create effective data visualizations, build interactive visual analytics, and transform your organization - Fourth Edition

Joshua N. Milligan

Learning Tableau strengthens your command on Tableau fundamentals and builds on advanced topics.The book starts by taking you through foundational principles of Tableau. We then demonstrate various types of connections and how to work with metadata. We teach you to use a wide variety of visualizations to analyze and communicate the data, and introduce you to calculations and parameters. We then take an in-depth look at level of detail (LOD) expressions and use them to solve complex data challenges. Up next, we show table calculations, how to extend and alter default visualizations, build an interactive dashboard, and master the art of telling stories with data.This Tableau book will introduce you to visual statistical analytics capabilities, create different types of visualizations and dynamic dashboards for rich user experiences. We then move on to maps and geospatial visualization, and the new Data Model capabilities introduced in Tableau 2020.2. You will further use Tableau Prep’s ability to clean and structure data and share the stories contained in your data.By the end of this book, you will be proficient in implementing the powerful features of Tableau 2020 for decision-making.

Generative AI Foundations in Python. Discover key techniques and navigate modern challenges in LLMs

Carlos Rodriguez, Samira Shaikh

The intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application.Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs.By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.

Node.js for Beginners. A comprehensive guide to building efficient, full-featured web applications with Node.js

Ulises Gascón

Node.js revolutionizes server-side JavaScript development and empowers developers to build efficient, scalable, and versatile applications across a range of use cases. This book is written by a Node.js core collaborator and releaser and is the only book for beginners on Node.js. It takes you on a progressive learning path that will give you the skills needed to leverage Node.js.You’ll learn Node.js fundamentals and refresh your knowledge of JavaScript before transitioning to the development of modern web applications using Node.js, Express.js, and MongoDB. You’ll get hands-on with complex topics such as asynchronous programming, npm libraries, event-driven patterns for HTTP servers, RESTful API, and JSON Web Tokens. The final chapters will walk you through the deployment process, offering insights into various strategies, including bare metal setups, virtual machines, and containerization with Docker. You’ll also be guided through the use of Process Manager 2 (PM2) for efficient process management.By the end of this Node.js book, you'll have the skills to craft, test, and deploy Node.js web applications confidently and use this powerful stack in your day-to-day projects.

Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0

Svetlana Karslioglu

Pachyderm is an open source project that enables data scientists to run reproducible data pipelines and scale them to an enterprise level. This book will teach you how to implement Pachyderm to create collaborative data science workflows and reproduce your ML experiments at scale.You’ll begin your journey by exploring the importance of data reproducibility and comparing different data science platforms. Next, you’ll explore how Pachyderm fits into the picture and its significance, followed by learning how to install Pachyderm locally on your computer or a cloud platform of your choice. You’ll then discover the architectural components and Pachyderm's main pipeline principles and concepts. The book demonstrates how to use Pachyderm components to create your first data pipeline and advances to cover common operations involving data, such as uploading data to and from Pachyderm to create more complex pipelines. Based on what you've learned, you'll develop an end-to-end ML workflow, before trying out the hyperparameter tuning technique and the different supported Pachyderm language clients. Finally, you’ll learn how to use a SaaS version of Pachyderm with Pachyderm Notebooks.By the end of this book, you will learn all aspects of running your data pipelines in Pachyderm and manage them on a day-to-day basis.