This book is a greatly supplemented translation from Portuguese, originally published in 2015. It discusses the most appropriate ways to create databases for research on history and other humanities, including an extensive debate about the usages that historians have made of computing since the 1950s. It has four chapters: the first is dedicated to theoretical and methodical questions about the usage of databases in history; the second is about technical issues; the third presents the concept of research engineering (how to improve research in groups); the last is about the construction of databases. The author states that the use of technology in research in history and humanities should be preceded and mediated by theories and methods which deal with these disciplines and not by technical issues. The historian must know how to think “correctly” in order to use the technological tools in an autonomous way. The book provides a background, demonstrating how theory, methodology, and technique are always articulated in historical research, and will appeal to history students and researchers.

Access is your, comprehensive reference to the world's most popular database management tool. With clear guidance toward everything from the basics to the advanced, this go-to reference helps you take advantage of everything Access 2016 has to offer. Whether you're new to Access or getting started with Access, you'll find everything you need to know to create the database solution perfectly tailored to your needs, with expert guidance every step of the way. The companion website features all examples and databases used in the book, plus trial software and a special offer from Database Creations. Start from the beginning for a complete tutorial, or dip in and grab what you need when you need it.

Your one stop guide to automating infrastructure security using DevOps and DevSecOps

Why Python?
Python is the easiest to learn and once you have a good grounding in it, you can move on to another, more complicated language. Python is a beautiful computer language. It is simple, and it is intuitive. Python is used by a sorts of people – data scientists use it for much of their number crunching and analytics; security testers use it for testing out security and IT attacks; it is used to develop high-quality web applications and many of the large applications that you use on the internet are also written in Python, including YouTube, DropBox, and Instagram.
Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble.

If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through strategies for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data.

Machine learning is a computer programming technique in which software is built in such a way that it can learn new facts from itself and make decisions on its own when necessary. Machine learning (ML) is a large discipline, and this book covers a lot of ground. We attempted to cover all aspects of the subject. This book is designed for students enrolled in MCA, M.Sc. CS/IT, M.S., M. Tech, B.Tech , B.E. CS/IT, B.Sc. CS and BCA programs. The most notable characteristic of this book is that each chapter is taught in a straightforward manner so that the student can grasp the subject. Due to space limits, we have included a number of related ideas and tasks for the benefit of both students and teachers.
Despite our best efforts, there may be some inaccuracies. If some readers bring these to my attention, we will be grateful. Suggestions and criticisms for the book's enhancement would be warmly received.

The DevOps movement has transformed the way modern tech companies work. Amazon Web Services (AWS), which has been at the forefront of the cloud computing revolution, has also been a key contributor to the DevOps movement, creating a huge range of managed services that help you implement DevOps principles.

Do you have any of the iPhone X series devices OR you intend getting one anytime soon?

Learn to move on-premises virtual machines running on Linux servers to Azure with expert guidance, best practices, and optimized cost

Believe it or not, teachers can create inclusive learning environments even though students may not be physically present in the classroom this fall. By using research-based teaching strategies and activities, teachers can build an online community that is inclusive of students with a wide variety of abilities and interests. These teaching techniques can facilitate inclusion. Thus, not only will the student be present in the daily lessons, but he or she will also be an active participant. Most importantly, students will continue to have opportunities to develop their social, emotional, physical, and intellectual abilities. In Inclusive Strategies for the Virtual Classroom, we recommend some easy ways for teachers to make their virtual classroom inclusive of all students, regardless of their ability.