Most Popular Stories for October 16, 2007

1. Crazy talk: Inline scripting and code-behind (33 kicks)
2. Set Operations with C# Generics (14 kicks)
3. Introducing SyncLINQ (Databinding with LINQ) (13 kicks)
4. Differences in .NET 2.0 and .NET 2.0SP1 (4 kicks)
5. Introducing The LinFu Framework, Part I - LinFu.DynamicProxy: A Lightw (4 kicks)
6. Creating a Vista-like Menu Bar Custom Control (4 kicks)
7. How To Become a Better Programmer by Not Programming (4 kicks)
8. Just because it's in a patterns book... (3 kicks)
9. Using Subversion repository as Web Share or Network Share (3 kicks)
10. Using the Reference tag in the page to refer to another page in Asp.Ne (3 kicks)

Most Commented On Stories for October 16, 2007

1. Crazy talk: Inline scripting and code-behind (2 comments)
2. Error Message: Your Password Must Be at Least 18770 Characters and Can (1 comment)
3. How To Become a Better Programmer by Not Programming (1 comment)
4. Using the Reference tag in the page to refer to another page in Asp.Ne (1 comment)
5. A Look At What's Wrong With Objects (1 comment)
6. Set Operations with C# Generics (1 comment)

Most Popular Tags for October 16, 2007

1. C# (6 tags)
2. ASP.NET (4 tags)
3. Architecture (2 tags)
4. Database (2 tags)
5. Patterns (2 tags)
6. Security (2 tags)
7. Tips (2 tags)
8. VB.NET (2 tags)
9. CSS (1 tag)
10. CodeBetter (1 tag)

Most Published Users for October 16, 2007

1. jongalloway (1 story)
2. Jachman (1 story)
3. rbanks54 (1 story)

Most Popular Domains for October 16, 2007

1. blog.wekeroad.com (33 story kicks)
2. jachman.wordpress.com (14 story kicks)
3. www.paulstovell.net (13 story kicks)
4. www.codeproject.com (11 story kicks)
5. codebetter.com (6 story kicks)
6. www.vikramlakhotia.com (5 story kicks)
7. tiredblogger.wordpress.com (4 story kicks)
8. www.hanselman.com (4 story kicks)
9. www.codinghorror.com (4 story kicks)
10. blog.vuscode.com (3 story kicks)

Most Published Domains for October 16, 2007

1. jachman.wordpress.com (1 story)
2. blog.wekeroad.com (1 story)
3. www.paulstovell.net (1 story)

Aggregate statistics are based on the item date. For example, the number of kicks listed is based on the exact time period and are totalled without regard to the story's submission date.

Story lists are calculated based on the the story's submission date.