iredwoo的博客

A collection of articles recording some of the existing wisdom and practice on how to program well in Lua.

Programming in Lua, 4th Edition

关于Linux diff & patch的资料，想深入了解diff的童鞋可以收藏下

Mastering SaltStack

Get an in-depth analysis of financial time series from the perspective of a functional programmer, Overview, Understand the foundations of financial stochastic processes, Build robust models quickly and efficiently, Tackle the complexity of parallel programming, In Detail, Haskell is one of the three most influential functional programming languages available today along with Lisp and Standard ML. When used for financial analysis, you can achieve a much-improved level of prediction and clear problem descriptions., Haskell Financial Data Modeling and Predictive Analytics is a hands-on guide that employs a mix of theory and practice. Starting with the basics of Haskell, this book walks you through the mathematics involved and how this is implemented in Haskell., The book starts with an introduction to the Haskell platform and the Glasgow Haskell Compiler (GHC). You will then learn about the basics of high frequency financial data mathematics as well as how to implement these mathematical algorithms in Haskell., You will also learn about the most popular Haskell libraries and frameworks like Attoparsec, QuickCheck, and HMatrix. You will also become familiar with database access using Yesod’s Persistence library, allowing you to keep your data organized. The book then moves on to discuss the mathematics of counting processes and autoregressive conditional duration models, which are quite common modeling tools for high frequency tick data. At the end of the book, you will also learn about the volatility prediction technique., With Haskell Financial Data Modeling and Predictive Analytics, you will learn everything you need to know about financial data modeling and predictive analytics using functional programming in Haskell., What you will learn from this book, Learn how to build a FIX protocol parser, Calibrate counting processes on real data, Estimate model parameters using the Maximum Likelihood Estimation method, Use Akaike criterion to choose the best-fit model, Learn how to perform property-based testing on a generated set of input data, Calibrate ACD models with the Kalman filter, Understand parallel programming in Haskell, Learn more about volatility prediction, Approach, This book is a hands-on guide that teaches readers how to use Haskell's tools and libraries to analyze data from real-world sources in an easy-to-understand manner., Who this book is written for, This book is great for developers who are new to financial data modeling using Haskell. A basic knowledge of functional programming is not required but will be useful. An interest in high frequency finance is essential.

OpenResty-Best-Practices

高级Bash编程

agentzh-nginx-tutorials-en.pdf

MySQL Connector/J是MySQL官方JDBC驱动程序。 Connector/J 5.1包括JDBC-4.0功能的支持 包括： 易于开发的特点，包括通过自动注册服务提供商机制，标准化的连接有效性检查和分类的SQLExceptions的基础上可恢复/重试能力和一流的底层错误。 DriverManager隔离 解开包括供应商扩展到接口 通过JAXP接口支持用于XML处理DOM，SAX和StAX 支持设置每个连接的客户端信息（可以查看查询的意见通过“SHOW PROCESSLIST的”一个MySQL服务器上，或通过一个公共接口，可扩展，以支持自定义持久性的信息） JDBC-4.0 NCHAR，NVARCHAR和NCLOB类型的支持

Cloud.Computing.pdf 关于云计算的书。

Big Data in Real-Time at Twitter

[英文原版]O'Reilly.PHP.Cookbook.2nd.Edition.chm

a good guide for sendmail performance