Options and Derivatives Programming in C++20, 2nd EditionMaster the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries. This book also covers new features introduced in C++20 and other recent standard releases: modules, concepts, spaceship operators, and smart pointers.
You will explore how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. These include advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming. Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The topics covered in the book are introduce ...
Pro iOS TestingDiscover what tools there are for unit testing in iOS, and how to work in a test-driven environment. This book reveals how testing is a crucial capability in any iOS developer's toolset, and a minimum requirement in iOS interviews.
A few years ago, tests on mobile platforms were not very popular. It wasn't a technical constraint, more a cultural one. But these days it's a crucial skill set, especially when projects become big and hard to maintain. This book shows you how to set up a testing target in XCode unit tests. You'll learn how to write unit tests properly and incorporate concepts like spies and mocks and code coverage. You'll also learn the philosophy behind the architecture of UI tests, and how to mock network and DB layers in testing. Write unbreakable UI tests performance tests, as well. And learn the difference between integration tests and snapshot testing.
This book will show you how to maintain code that's not only bug-free but will also remain high quality over time ...
SQL Cookbook, 2nd EditionYou may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in severalflavors of SQL, including Oracle, DB2, SQL Server, MySQL, andPostgreSQL.
SQL programmers, analysts, data scientists, database administrators, and even relatively casual SQL users will find SQL Cookbook to be a valuable problem-solving guide for everyday issues. No other resource offers recipes in this unique format to help you tackle nagging day-to-day conundrums with SQL.
The 2nd edition includes: Fully revised recipes that recognize the greater adoption of window functions in SQL implementations; Additional recipes that reflect the widespread adoption of common table expressions (CTEs) for more readable, easier-to-implem ...
NGINX CookbookNGINX is one of the most widely used web servers available today, in part because of its capabilities as a load balancer and reverse proxy server for HTTP and other network protocols.This cookbook provides easy-to-follow examples to real-world problems in application delivery. The practical recipes will help you set up and use either the open source or commercial offering to solve problems in various use cases.
For professionals who understand modern web architectures, such as n-tier or microservice designs, and common web protocols including TCP and HTTP, these recipes provide proven solutions for security, software load balancing, and monitoring and maintaining NGINX's application delivery platform. You'll also explore advanced features of both NGINX and NGINX Plus, the free and licensed versions of this server.
You'll find recipes for: High-performance load balancing with HTTP, TCP, and UDP; Securing access through encrypted traffic, secure links, HTTP authentication subreques ...
Advanced Analytics in Power BI with R and PythonThis easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard, if not impossible, to do using native Power BI tools. For example, you will learn to score Power BI data using custom data science models and powerful models from Microsoft Cognitive Services.
The R and Python languages are powerful complements to Power BI. They enable advanced data transformation techniques that are difficult to perform in Power BI in its default configuration but become easier by leveraging the capabilities of R and Python. If you are a business analyst, data analyst, or a data scientist who wants to push Power BI and transform it from being just a business intelligence tool into an advanced data analytics tool, then this is the book to help you do that. ...
Azure DevOps for Web DevelopersExplore the architecture, product offerings, and the various stages of implementation processes in Azure DevOps. The book starts with the basic concepts of DevOps and moves on to discuss project management in Azure DevOps. Next, you will learn requirement management and version control in DevOps. Along the way, you will go through test management followed by continuous integration and build automation with more details on code quality and security implementations.
Moving forward, you will learn release pipeline and infrastructure as code implementation including ARM-based environment provisioning and execution. Finally, you'll cover DevOps architecture blueprints used for deploying your web applications to different platforms.
After reading this book, you will be able to understand each stage of Azure DevOps and master its implementation. ...
OpenIntro Statistics, 4th EditionOpenIntro Statistics offers a traditional introduction to statistics at the college level. This textbook is widely used at the college level and offers an exceptional and accessible introduction for students from community colleges to the Ivy League. The textbook has been thoroughly vetted with an estimated 20,000 students using it annually.
Self-study learners will be excited to find that: The textbook is well-maintained and is now in its 4th Edition; OpenIntro is heavily used in industry since it focuses on applied statistics; Additional resources on openintro.org, including videos and labs, help learners of all types. ...
LaTeX in 24 HoursThis book presents direct and concise explanations and examples to many LaTeX syntax and structures, allowing students and researchers to quickly understand the basics that are required for writing and preparing book manuscripts, journal articles, reports, presentation slides and academic theses and dissertations for publication.
Unlike much of the literature currently available on LaTeX, which takes a more technical stance, focusing on the details of the software itself, this book presents a user-focused guide that is concerned with its application to everyday tasks and scenarios. It is packed with exercises and looks at topics like formatting text, drawing and inserting tables and figures, bibliographies and indexes, equations, slides, and provides valuable explanations to error and warning messages so you can get work done with the least time and effort needed. This means LaTeX in 24 Hours can be used by students and researchers with little or no previous experience with LaTeX to ...
Python Machine Learning By Example, 3rd EditionPython Machine Learning By Example, 3rd Edition serves as a comprehensive gateway into the world of machine learning (ML).
With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.
At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.
Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques ...
Mastering Splunk 8Splunk is the most widely used engine for working with machine-generated data. This expert-level guide will help you to leverage advanced use cases to drive business growth using operational intelligence and business analytics features.
You'll start with an introduction to the new features in Splunk 8 and cover step-by-step exercises that will help you to understand each feature in depth. Next, you'll explore key tasks such as workload management, performance and alerting, Splunk Enterprise Security, and advanced indexing. You'll also learn how to create categorical charts and run analytical operations on metrics within the Splunk Analytics workspace, before understanding how to deliver insights across your organization even when faced with limited or complex data using advanced data analytics. The book will also show you how to monitor and maintain Splunk environments using advanced dashboards. Later, you'll create custom data visualizations and update dashboards using drag and dro ...