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Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps
Introducing you to the basics of constructing and styling static and interactive charts and tables before exploring the basics of HTML, CSS, and Bootstrap, including an approach to building web pages with HTML. From there, he’ll show you the key Python web frameworks and techniques for building web apps with them. You’ll then see how to style web apps and incorporate themes, including interactive charts and tables to build dashboards, followed by a walkthrough of creating URL routes and securing web apps. You’ll then progress to more advanced topics, like building machine learning algorithms and integrating them into a web app. ou will: Create interactive graphs and render static graphs into interactive ones / Understand the essentials of HTML, CSS, and Bootstrap / Gain insight into the key Python web frameworks, and how to develop web applications using them / Develop machine learning algorithms and integrate them into web apps / Secure web apps and deploy them to cloud platforms
Rethinking Productivity in Software Engineering
Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering.
Digital analytics for marketing
Provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Also demonstrates how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. It overs timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box.
Community Quality-of-Life Indicators : Best Cases VIII
Offers critical insights into the thriving international field of community indicators, incorporating the experiences of government leaders, philanthropic professionals, community planners and a wide range of academic disciplines. It illuminates the important role of community indicators in diverse settings and the rationale for the development and implementation of these innovative projects. details many of the practical “how to” aspects of the field as well as lessons learned from implementing indicators in practice. The case studies included here also demonstrate how, using a variety of data applications, leaders of today are monitoring and measuring progress and communities are empowered to make sustainable improvements in their wellbeing.
