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Podcasty
Dynamics AX 2012 is a modern ERP solution from Microsoft that is targeted at the mid-and-high-level organizations. It is seeing an increased rate of adoption due to its tighter integration with the Microsoft technology stack and the flexibility it offers.Microsoft Dynamics AX 2012 Reporting Cookbook focuses mainly on the reporting aspects of Microsoft Dynamics AX 2012. Reports play a very central role in an ERP system being accessible to customers, vendors, top management and the shop floor. Every ERP implementation includes reporting changes as companies try to refit the reports to their standards and processes. As a Dynamics AX developer, reporting skills are a must-have and this book intends to make report development easier and simpler.Microsoft Dynamics AX 2012 Reporting Cookbook deals with the SSRS-based reporting framework introduced with Dynamics AX 2012. It explains the reporting model in detail and offers instruction-led examples to help you understand the nuances involved in developing a report.Throughout this book, you will learn how to build your own reports based on Queries, RDP, and different designs like Auto/Precision designs. You will also gain an understanding of the programmatic flow, which will help you develop reports with confidence. You will find different approaches to debug issues in your reports. The examples offered in this book can be readily used in your real-world scenarios. This book also offers strategies for new reports as well as for migrating your reports from the old reporting framework and development. Report designs like table, matrix, and charts have been discussed with examples. There are also tips, tools and references spread across the book that can hasten your report development process.Overall, this book will guarantee you a deeper understanding of report development in Dynamics AX.
With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs.This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. You’ll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, you'll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, you'll find out how to apply your skillset to solve practical problems.By the end of this AWS book, you’ll have mastered the fundamentals of document processing with machine learning through practical implementation.
Metaprogramming in C#. Automate your .NET development and simplify overcomplicated code
Metaprogramming is an advanced technique that helps developers to automate repetitive tasks, generate scalable code, and enhance productivity in software development. Metaprogramming in C# is a comprehensive guide that will help you reap the full potential of metaprogramming in .NET runtime.You’ll start by learning about the .NET runtime environment and how you can use it to become a more productive developer. You'll learn how to infer types using reflection, use attributes, and create dynamic proxies. You’ll also explore the use of expressions to create and execute code and how to take advantage of Dynamic Language Runtime.But that's not all! You’ll also learn to go beyond inheritance and use method signature conventions to create easily maintainable code. Finally, you’ll dive into the world of compiler magic with Roslyn, where you'll discover how to use Roslyn to generate code, perform static code analysis, and write your own compiler extensions.By the end of this book, you’ll have a deep understanding of metaprogramming concepts and how to apply them to your C# code. You’ll be able to think about types, use attributes and expressions to generate code, and apply crosscutting concerns to improve code quality.
Microsoft Dynamics GP 2013 is a mature accounting software, ERP application, which is aimed at making life easier for financial professionals. This book is to assist readers in improving their use of Microsoft Dynamics GP by showing them how to get the most out of the financial aspect of the system.Microsoft Dynamics GP 2013 Financial Management is intended to add value to your organization by making use of additional modules and processes by introducing readers, new or experienced, to some of the financial management modules of Dynamics GP, such as Analytical Accounting, Cash Flow Management, and Encumbrance Management.Microsoft Dynamics GP 2013 Financial Management introduces the six essential financial modules. You will get acquainted with accounting to enable reporting, before gaining an oversight into inflow and outflow of cash. Budget studies cover all aspects of budget use in Dynamics GP for comparing actual figures against the budgets created and maintained within the system. The final chapters cover PO Commitments and Encumbrance Management; two sides of the same coin. Both modules allow for the control of purchasing by either committing or encumbering the transactions and preventing overspending.
There are many powerful open source CMSs available to take the pain away from managing a web site. These systems are feature rich, often easy to use, and free. Unfortunately, there are so many choices it's tough to be sure you're choosing the right one. How can you be sure that you are selecting and working with the right tool?This book will guide you through choosing the right CMS for your needs. You can be confident in your choice of CMS for the needs of your project. It will also help you make a start using the CMS, and give you a feel for what it's like to use it ñ even before you install it yourself.Are you bewildered by the many open source CMSs available online? Open source CMSs are the best way to create and manage sophisticated web sites. You can create a site that precisely meets your business goals, and keep the site up to date easily because these systems give you full control over every aspect of your site. Because open source CMSs are free to download, you have a huge amount of choice between the various systems.Yet there are many open source CMSs to choose from, each with unique strengths ñ and occasionally limitations too. Choosing between the bewildering number of options can be tough.Making the wrong choice early on may lead to a lot of wasted work, because you'll have a half-finished site that doesn't meet your initial requirements ñ and needs to be restarted from scratch.This book will show you how to avoid choosing the wrong CMS. It will guide you through assessing your site requirements, and then using that assessment to identify the CMS that will best fit your needs. It contains discussions of the major CMSs, and the issues that you should consider when choosing: their complexity to use, their features and the power they offer. It discusses technical considerations such as programming languages and compliance with best practice standards in a clear, friendly way that non-technical readers can understand.The book also contains quick-start guides and examples for the most popular CMSs such as WordPress, Joomla!, and Drupal, so that you can experiment with these CMSs, get a feel for how they work, and start using them to build your site.After reading this book, you can be confident that your CMS choice will support your web site's needs because you have carefully assessed your requirements and explored the available options.
Bayesian Analysis with Python. Click here to enter text
The purpose of this book is to teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, we will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. We will also look into mixture models and clustering data, and we will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems.