Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field

Leondra R. Gonzalez, Aaren Stubberfield, Angela Baltes

The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company.Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview.By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.

JIRA Development Cookbook. Develop and customize plugins, program workflows, work on custom fields, master JQL functions, and more to effectively customize, manage, and extend JIRA

Jobin Kuruvilla, Jobin Kuruvilla

JIRA provides issue tracking and project tracking for software development teams to improve code quality and the speed of development.This book is your one-stop resource to master JIRA extension and customization. You will learn how to create your own JIRA plugins, customize the look and feel of your JIRA UI, work with Workflows, Issues, Custom Fields, and much more.The book starts with recipes on simplifying the Plugin development process followed by a complete chapter dedicated to the Plugin Framework to master Plugins in JIRA.Then we will move on to writing custom field plugins to create new field types or custom searchers. We then learn how to program and customize Workflows to transform JIRA into a user-friendly system. Reporting support in an application like JIRA is inevitable! With so much data spanning across different projects, issues, etc and a lot of project planning done on it, we will cover how to work on reports and gadgets to get customized data according to our needs.We will then look at customizing the various searching aspects of JIRA such as JQL, searching in plugins, managing filters, and so on. Then the book steers towards programming Issues, i.e. creating/editing/deleting issues, creating new issue operations, managing the various other operations available on issues via the JIRA APIs etc. In the latter half of the book, you will learn how to customize JIRA by adding new tabs, menus, and web items, communicate with JIRA via the REST, SOAP or XML/RPC interfaces, and work with the JIRA database.The book ends with a chapter on useful and general JIRA recipes.

Building AI Intensive Python Applications. Create intelligent apps with LLMs and vector databases

Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, ...

The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance.By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.

MEAN Blueprints. Unlock the power of the MEAN stack by creating attractive and real-world projects

Robert Onodi

The MEAN stack is a combination of the most popular web development frameworks available—MongoDB, Angular, Express, and Node.js used together to offer a powerful and comprehensive full stack web development solution. It is the modern day web dev alternative to the old LAMP stack. It works by allowing AngularJS to handle the front end, and selecting Mongo, Express, and Node to handle the back-end development, which makes increasing sense to forward-thinking web developers. The MEAN stack is great if you want to prototype complex web applications.This book will enable you to build a better foundation for your AngularJS apps. Each chapter covers a complete, single, advanced end-to-end project. You’ll learn how to build complex real-life applications with the MEAN stack and few more advanced projects. You will become familiar with WebSockets and build real-time web applications, as well as create auto-destructing entities. Later, we will combine server-side rendering techniques with a single page application approach. You’ll build a fun project and see how to work with monetary data in Mongo. You will also find out how to a build real-time e-commerce application.By the end of this book, you will be a lot more confident in developing real-time, complex web applications using the MEAN stack.

PhoneGap for Enterprise. Master the art of building secure enterprise mobile applications using PhoneGap

Kerri Shotts

Software Architecture with C++. Design modern systems using effective architecture concepts, design patterns, and techniques with C++20

Adrian Ostrowski, Piotr Gaczkowski

Software architecture refers to the high-level design of complex applications. It is evolving just like the languages we use, but there are architectural concepts and patterns that you can learn to write high-performance apps in a high-level language without sacrificing readability and maintainability. If you're working with modern C++, this practical guide will help you put your knowledge to work and design distributed, large-scale apps. You'll start by getting up to speed with architectural concepts, including established patterns and rising trends, then move on to understanding what software architecture actually is and start exploring its components. Next, you'll discover the design concepts involved in application architecture and the patterns in software development, before going on to learn how to build, package, integrate, and deploy your components. In the concluding chapters, you'll explore different architectural qualities, such as maintainability, reusability, testability, performance, scalability, and security. Finally, you will get an overview of distributed systems, such as service-oriented architecture, microservices, and cloud-native, and understand how to apply them in application development.By the end of this book, you'll be able to build distributed services using modern C++ and associated tools to deliver solutions as per your clients' requirements.

Industrial IoT for Architects and Engineers. Architecting secure, robust, and scalable industrial IoT solutions with AWS

Joey Bernal, Bharath Sridhar

When it comes to using the core and managed services available on AWS for making decisions about architectural environments for an enterprise, there are as many challenges as there are advantages. This Industrial IoT book follows the journey of data from the shop floor to the boardroom, identifying goals and aiding in strong architectural decision-making.You’ll begin from the ground up, analyzing environment needs and understanding what is required from the captured data, applying industry standards and conventions throughout the process. This will help you realize why digital integration is crucial and how to approach an Industrial IoT project from a holistic perspective. As you advance, you’ll delve into the operational technology realm and consider integration patterns with common industrial protocols for data gathering and analysis with direct connectivity to data through sensors or systems. The book will equip you with the essentials for designing industrial IoT architectures while also covering intelligence at the edge and creating a greater awareness of the role of machine learning and artificial intelligence in overcoming architectural challenges.By the end of this book, you’ll be ready to apply IoT directly to the industry while adapting the concepts covered to implement AWS IoT technologies.

The Complete Kubernetes Guide. Become an expert in container management with the power of Kubernetes

Jonathan Baier, Gigi Sayfan, Jesse White

If you are running a number of containers and want to be able to automate the way they’re managed, it can be helpful to have Kubernetes at your disposal. This Learning Path guides you through core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You'll get started by learning how to integrate your build pipeline and deployments in a Kubernetes cluster. As you cover more chapters in the Learning Path, you'll get up to speed with orchestrating updates behind the scenes, avoiding downtime on your cluster, and dealing with underlying cloud provider instability in your cluster. With the help of real-world use cases, you'll also explore options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you'll gain insights into custom resource development and utilization in automation and maintenance workflows.By the end of this Learning Path, you'll have the expertise you need to progress from an intermediate to an advanced level of understanding Kubernetes.This Learning Path includes content from the following Packt products:• Getting Started with Kubernetes - Third Edition by Jonathan Baier and Jesse White• Mastering Kubernetes - Second Edition by Gigi Sayfan