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Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions.You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses.Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.
The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.
Microsoft Dynamics AX provides a comprehensive Enterprise Resource Planning (ERP) solution for mid-size and larger organizations. Dynamics AX implementations are used worldwide by thousands of customers. With the new version - Dynamics AX 2009 - the system is due to expand even more rapidly.Every new implementation requires some level of customization, and all organizations want this to be done to the highest standards using proven approaches. This step-by-step guide will help you manage your company's ERP information and operations efficiently, and solve your business process problems in an effective and quick way. This book focuses on commonly used custom modifications in major Dynamics AX modules. This book contains commonly used bits of code which were real-world tested in at least one successful Dynamics AX implementation. Many of the recipes were deployed in many implementations and even across several versions of Dynamics AX. The examples in this book cover various areas of Dynamics AX to help developers not only learn about programming, but also about the functional side of Dynamics AX. The book should help developers who already know the basics of Dynamics AX programming to step up to the next level.The recipes allow you to look at the development from the perspective of business processes. You will learn to enhance your user interface using various Dynamics AX UI elements. Managing your data and functions will become easier. You will also get numerous development tips and tricks from a Dynamics AX development expert.
If you're often faced with MDX challenges, this is a book for you. It will teach you how to solve various real-world businessrequirements using MDX queries and calculations. Examples in the book introduce an idea or a problem and then guide you throughthe process of implementing the solution in a step-by-step manner, inform you about the best practices and offer a deep knowledge in terms of how the solution works. Recipes are organized by chapters, each covering a single topic. They start slowly and logically progress to more advanced techniques. In case of complexity, things are broken down. Instead of one, there are series of recipes built one on top of another. This way you are able to see intermediate results and debug potential errors faster. Finally, the cookbook format is here to help you quickly identify the topic of interest and in it a wide range of practical solutions, that is – MDX recipes for your success.
Salesforce Anti-Patterns teaches you to spot errors in Salesforce patterns that may seem like a good idea at first but end up costing you dearly. This book will enable Salesforce developers and architects to understand how ingenious Salesforce architectures can be created by studying anti-patterns and solutions to problems that can later lead to serious implementation issues. While there are several books on the market that start with the question, “How do I create great Salesforce architecture?” and proceed to a solution from there, this book instead starts by asking, “What tends to go wrong with Salesforce architectures?” and proceeds to a solution from there.In this book, you’ll find out how to identify and mitigate anti-patterns in the technical domains of system architecture, data architecture, and security architecture, along with anti-patterns in the functional domain of solution architecture as well as for integration architecture. You’ll also learn about common anti-patterns affecting your Salesforce development process and governance and, finally, how to spot common problems in how architects communicate their solutions.By the end of this Salesforce book, you’ll have gained the confidence to architect and communicate solutions on the Salesforce platform while dodging common mistakes.