Search results for Dynamic - ThinqLinq by ThinqLinq


Dynamic Programming in a Statically Typed World

Tomorrow night, I’m giving my presentation discussing not only how, but when to consider using the dynamic features of C# 4 and VB (forever). If you attend the presentation, you can download the samples and slides from my download page. Part of the key in this presentation is  discussing the Why as compared to the simpler How of Dynamic. Here are some of my top reasons to use the dynamic features: Testability When trying to use unit testing, the compiler often limits the ability to follow

LINQ to CSV using DynamicObject and TextFieldParser

In the first post of this series, we parsed our CSV file by simply splitting each line on a comma. While this works for simple files, it becomes problematic when consuming CSV files where individual fields also contains commas. Consider the following sample input: CustomerID,COMPANYNAME,Contact Name,CONTACT_TITLE ALFKI,Alfreds Futterkiste,Maria Anders,"Sales Representative" ANATR,Ana Trujillo Emparedados y helados,Ana Trujillo,"Owner, Operator" ANTON,Antonio Moreno Taquer

LINQ to CSV using DynamicObject Part 2

In the last post, I showed how to use DynamicObject to make consuming CSV files easier. In that example, we showed how we can access CSV columns using the standard dot (.) notation that we use on other objects. Using DynamicObject, we can refer to item.CompanyName and item.Contact_Name rather than item(0) and item(1). While I’m happy about the new syntax, I’m not content with replacing spaces with underscores as that doesn’t agree with the coding guidelines of using Pascal casing for properties

LINQ to CSV using DynamicObject

When we wrote LINQ in Action we included a sample of how to simply query against a CSV file using the following LINQ query: From line In File.ReadAllLines(“books.csv”) Where Not Line.StartsWith(“#”) Let parts = line.Split(“,”c) Select Isbn = parts(0), Title = parts(1), Publisher = parts(3) While this code does make dealing with CSV easier, it would be nicer if we could refer to our columns as if they were properties where the property name came from the header row in the CSV file,