Biznes IT

465
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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.

466
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JIRA Essentials - Third Edition. Use the features of JIRA to manage projects and effectively handle bugs and software issues

Patrick Li

If you wish to develop your practical skills with JIRA in order to install, use, and manage your projects, then this is the perfect book for you. You need to be familiar with software project management and basic computer operations, specifically the system on which you will use JIRA.

467
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Jira Quick Start Guide. Manage your projects efficiently using the all-new Jira

Ravi Sagar

Jira is an issue tracker and project management system. With their latest release, the Jira team has now expanded their user base to agile teams as well as business teams. This book provides a comprehensive explanation covering all major components of Jira, including Jira Software, Jira Core, and Jira Service Desk.This book starts with an introduction to Jira's unique features and how it can be used as an issue-tracking tool. It will then teach you about how a new project is created by a Jira administrator, what responsibilities there are, and using correct and relevant schemes in your project. You will then learn how to configure project workflows and fields for project screens.You will understand the various permissions used in projects and the importance of project roles in Jira. Then, the book talks about the concepts of versions acting as milestones and using components when handling issues in your projects. It will then focus on analysing data using built-in reports and creating dashboards in Jira. At the end, it will discuss various best practices for users as well as project managers or project administrators.

468
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Jira Software Essentials. Plan, track, and release great applications with Jira Software - Second Edition

Patrick Li

Jira Software is an agile project management tool that supports any agile methodology, be it scrum, Kanban, or your own unique flavour. From agile boards to reports, you can plan, track, and manage all your agile software development projects from a single tool. Jira Software brings the power of agile methodology to Atlassian Jira.This second edition of JIRA Agile Essentials, will help you dive straight into the action, exploring critical agile terminologies and concepts in the context of Jira Software. You will learn how to plan, track, and release great software. This book will teach you how to install and run Jira Software and set it up to run with Scrum and Kanban. It will also teach you to use Jira Software your way and run projects beyond the out-of-box Scrum and Kanban way, including a hybrid approach of both the methodologies and other options that come with Jira Software. Later, you will learn how to integrate it with the tools you are already using and enhance Jira with add-ons such as Confluence. You will learn to stay connected with your team from anywhere to ensure great development. Jira Software has numerous deployment options in the cloud, on your own infrastructure, or at a massive scale. You will be introduced to Bitbucket, Atlassian’s distributed version control system, which integrates seamlessly with Jira, allowing your team to work within the two applications as one harmonious environment.With this practical guide, you will develop a great working knowledge of Jira Software and your project management will become much more efficient.

469
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Jira Work Management for Business Teams. Accelerate digital transformation and modernize your organization with Jira Work Management

John Funk

Jira Work Management (JWM) is the newest project management tool from Atlassian, replacing Atlassian's previous product, Jira Core Cloud. While Jira Software focuses on development groups, JWM is specifically targeted toward business teams in your organization, such as human resources, accounting, legal, and marketing, enabling these functional groups to manage and enhance their work, as well as stay connected with their company's developers and other technical groups. This book helps you to explore Jira project templates and work creation and guides you in modifying a board, workflow, and associated schemes.Jira Work Management for Business Teams takes a hands-on approach to JWM implementation and associated processes that will help you get up and running with Jira and make you productive in no time. As you explore the toolset, you'll find out how to create reports, forms, and dashboards. The book also shows you how to manage screens, field layouts, and administer your JWM projects effectively. Finally, you'll get to grips with the basics of creating automation rules and the most popular use cases.By the end of this Jira book, you'll be able to build and manage your own Jira Work Management projects and make basic project-related adjustments to achieve optimal productivity.

470
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Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

Adrian Salceanu

Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing.After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, including fintech, biotech, education, and AI.Beginning with an introduction to the language, Julia Programming Projects goes on to illustrate how to analyze the Iris dataset using DataFrames. You will explore functions and the type system, methods, and multiple dispatch while building a web scraper and a web app. Next, you'll delve into machine learning, where you'll build a books recommender system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database. After metaprogramming, the final chapters will discuss dates and time, time series analysis, visualization, and forecasting.We'll close with package development, documenting, testing and benchmarking.By the end of the book, you will have gained the practical knowledge to build real-world applications in Julia.

471
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Dan Toomey

Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications.The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks, such as Python, R, Julia, JavaScript, Scala, and Spark on your Jupyter Notebook. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in real time, sharing your code, creating a multi-user environment, and organizing your notebook. You will then get hands-on experience with Jupyter Labs, microservices, and deploying them on the web. By the end of this book, you will have taken your knowledge of Jupyter to the next level to perform all key tasks associated with it.

472
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Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter

Dan Toomey

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook. If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks.By the end of this book, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully.