Robust Python: Write Clean and Maintainable Code
Aug 17, 2021 · You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code.
- Reviews: 89
- Author: Patrick Viafore
Robust Optimization (Princeton Series in Applied Mathematics)
Aug 30, 2009 · Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject.
- Reviews: 8
- Author: Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
The techniques presented in this book as applied to the NETLIB problems allow one to eliminate the outlined phenomenon by passing out of the nominal optimal to robust optimal solutions.
Robust Python[Book] - O'Reilly Media
Make Python extensible for the future without adding bloat. Use popular Python tools to increase the safety and robustness of your codebase. Evaluate current code to detect common maintainability gotchas. Build a safety net around your codebase with linters and tests.
Robust Optimization - Princeton University Press
Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution.
Robust Statistics: Theory and Methods (with R), 2nd Edition …
Dec 21, 2018 · Unlike other books on the market, Robust Statistics: Theory and Methods (with R) offers the most comprehensive, definitive, and up-to-date treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear ...
- Reviews: 7
- Author: Ricardo A. Maronna, R. Douglas Martin, Victor J. Yohai
Robust Python: Write Clean and Maintainable Code - Goodreads
Aug 17, 2021 · In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net.
Robust Statistics: Theory and Methods (with R) - IEEE Xplore
Explains both the use and theoretical justification of robust methods; Guides readers in selecting and using the most appropriate robust methods for their problems; Features computational algorithms for the core methods
Introduction to Robust Estimation and Hypothesis Testing
This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression.
Code Examples for Robust Python book - GitHub
RobustPython. Code Examples for Robust Python book. Note that to get many of the examples use dummy types and data to not take away from the book example. For example, complex types might be aliased as a string and instances are just random snippets of text. Additionally, functions might just return hardcoded values.