For organizations to thrive, we must find ways to dramatically improve the performance of large-scale projects. Applying the concepts of complexity theory can complement conventional project management approaches and enable us to adapt to the unrelenting change that we ignore at our own peril.

From start to finish, you'll see what it takes to develop a successful agile project. Find out how the Swedish police combined XP, Scrum, and Kanban to modernize their department--and learn how you can apply those same principles to your own workplace. We start with an organization in desperate need of a new way of doing things and finish with a group of sixty, all working in s...(展开全部)

As teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA. This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development.

This valuable little book offers a thorough introduction to the open-source electronics prototyping platform that's taking the design and hobbyist world by storm. Getting Started with Arduino gives you lots of ideas for Arduino projects and helps you get going on them right away. From getting organized to putting the final touches on your prototype, all the information you need...(展开全部)

Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data. As you delve into later chapters, you’ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. By the end of this book, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from unstructured data.

This book is aimed at hobbyists with basic knowledge of electronics circuits. Whether you are a novice electronics project builder, a ham radio enthusiast, or a BeagleBone tinkerer, you will love this book.

This book is for experienced Python developers who are aspiring to become the architects of enterprise-grade applications or software architects who would like to leverage Python to create effective blueprints of applications.

Anand Balachandran Pillai是一名工程技术专家，在软件企业有18年以上的工作经历，在产品工程、软件设计、架构设计和相关研究方面具有非常丰富的经验。他曾获得印度理工学院机械工程专业的学士学位。曾在Yahoo!、McAfee和Infosys等公司任职，担任产品开发团队的首席工程师。他的主要兴趣在于软件性能工程、高可扩展性架构、安全和开源社区等方面。他也经常在Startups工作，担任首席技术专家或顾问。他还是班加罗尔Python用户联盟的奠基人和Python软件协会（PSF）的会士。Anand现在是Yegii公司的首席架构师。 (评审人)Mike Driscoll从2006年开始使用Python。他喜欢写一些关于Python的博客，见http://www.blog.pythonlibrary.org/。他曾合著了《the Core ...(展开全部)