Once again, we’re releasing a book chock-full of material that will help you with your Django projects!

In Two Scoops of Django we introduce you to various tips, tricks, patterns, code snippets, and techniques that we’ve picked up over the years. This book is an update and expansion of previous editions

The term “data” being mostly used, experimented, analyzed, and researched, “Data Science and its Applications” finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others.

If you’re just getting started with Perl, this is the book you want–whether you’re a programmer, system administrator, or web hacker. Nicknamed “the Llama” by two generations of users, this best seller closely follows the popular introductory Perl course taught by the authors since 1991. This eighth edition covers recent changes to the language up to version 5.34.

Management Information Systems: Managing the Digital Firm provides the most comprehensive overview of information systems used by business firms today, while drawing connections between MIS and business performance. The Laudons are known for their outstanding real-world case studies, which describe how well-known companies use IT to solve problems and achieve business objectives. Students develop sought-after skills, such as leading IS-related management discussions and using IT to meet bottom-line results. Each chapter of the 16th edition features all-new Interactive Sessions, new Video Cases, and a new Career Opportunities section building practical job-seeking skills.

This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25–27, 2020. The book’s/conference’s general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions.

The internet is making our daily life as digital as possible and this new era is called the Internet of Everything (IoE). Edge computing is an emerging data analytics concept that addresses the challenges associated with IoE. More specifically, edge computing facilitates data analysis at the edge of the network instead of interacting with cloud-based servers. Therefore, more and more devices need to be added in remote locations without any substantial monitoring strategy.

This book covers the most essential techniques for designing and building dependable distributed systems, from traditional fault tolerance to the blockchain technology. Topics include checkpointing and logging, recovery-orientated computing, replication, distributed consensus, Byzantine fault tolerance, as well as blockchain.

Learn to track, branch, merge, and manage code revisions for real-world development scenarios

A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques

Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook’s open-source Prophet model, and Amazon’s DeepAR model.