Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.
As you apply these incremental refactorings in order, each one building on the last, you will steadily transform your legacy PHP application from a spaghetti mess to an organized, modern, testable application, free of globals and mixed concerns.
Quer aprender Ruby de uma maneira bem direto ao ponto? Esse é o livro que você estava procurando.
Software design is the last craft that never got standardized, so the same problem yields a different structure in every shop and every sprint. Process-First Design is the method for it: design around the process, not the entity, and the dozen small structural decisions you re-litigate every time become engineering, leaving your judgment for the architecture and the domain. One running example carries it from a single use case up to a multi-tenant platform.
A practical, real-world guide to gathering software requirements with clarity, confidence, and precision. Learn proven techniques to eliminate ambiguity, reduce rework, and communicate effectively with clients and teams. Upgrade your skills now and stand out at work before poor requirements keep holding you back.
Stop debating code style. Start engineering code. Every developer brings personal preferences. Every AI tool channels different training examples. The result? Inconsistent codebases, endless code reviews, and technical debt that compounds silently. Java Backend Coding Technology introduces a radical idea: reduce the space of valid choices until there's essentially one good way to do most things. Not through rigid frameworks, but through a small set of patterns that make structure predictable, refactoring mechanical, and business logic visible. The code you write, your teammate writes, and your AI assistant generates will look the same -- because the patterns leave no room for subjective variation.
Mastering Excel Essentials in 60 minutes
Longitudinal Data Analysis Using R is a practical, end-to-end guide to longitudinal data analysis that helps you move from raw data to credible substantive conclusions. It tackles the real pain points researchers face in longitudinal analysis, such as data preparation, exploring change over time, model choice, missing data, and interpretation, using clear explanations, real-world data, and fully reproducible R code.
Are you an absolute beginner with no prior knowledge to any programming language? But you want to be an Android or iOS mobile application developer? This book will teach you both. You will learn to build Advanced Flutter Apps, from scratch. You will also learn Dart programming language that runs Flutter.
This book tries to put words to what most experienced programmers already know. It provides a framework for making better design choices, and a vocabulary for teams to discuss the software they collaborate on.
The software landscape is more crowed than ever! New frameworks seem to arrive weekly. There are tons of books out there about mastering specific frameworks, but here is one to help you master the one constant factor, no matter where you are: constructing the source code. Build great things in any programming notation; the rules are inside...
The software landscape is more crowed than ever! New frameworks seem to arrive weekly. There are tons of books out there about mastering specific frameworks, but here is one to help you master the one constant factor, no matter where you are: constructing the source code. Build great things in any programming notation; the rules are inside...
This book is about exploratory testing as an approach to thinking and learning while testing. Some might call this skilled testing. Some might say just testing (of good quality). It's about the special thing professional testers do to when they provide great results, so that you can learn to do it better too.
Quantitative finance in C++: an inside look at the architecture of the QuantLib library.