In C#, you can format an integer with commas (thousands separator) using ToString with a format specifier.
int number = 1234567; string formattedNumber = number.ToString("N0"); // "1,234,567" Console.WriteLine(formattedNumber);
Explanation:
"N0": The "N" format specifier stands for Number, and "0" means no decimal places. The output depends on the culture settings, so in regions where , is the decimal separator, you might get 1.234.567.
Alternative:
You can also specify culture explicitly if you need a specific format:
using System.Globalization; int number = 1234567; string formattedNumber = number.ToString("N0", CultureInfo.InvariantCulture); Console.WriteLine(formattedNumber); // "1,234,567"
Reading a file line by line is useful when handling large files without loading everything into memory at once.
✅ Best Practice: Use File.ReadLines() which is more memory efficient.
Example
foreach (string line in File.ReadLines("file.txt")) { Console.WriteLine(line); }
Why use ReadLines()?
Reads one line at a time, reducing overall memory usage. Ideal for large files (e.g., logs, CSVs).
Alternative: Use StreamReader (More Control)
For scenarios where you need custom processing while reading the contents of the file:
using (StreamReader reader = new StreamReader("file.txt")) { string? line; while ((line = reader.ReadLine()) != null) { Console.WriteLine(line); } }
Why use StreamReader?
Lets you handle exceptions, encoding, and buffering. Supports custom processing (e.g., search for a keyword while reading).
When to Use ReadAllLines()? If you need all lines at once, use:
string[] lines = File.ReadAllLines("file.txt");
Caution: Loads the entire file into memory—avoid for large files!
When working with financial data in C#, proper currency formatting is essential for clear and professional presentation. The .NET framework provides several convenient methods to format numeric values as currency, with the most common being the ToString() method with the "C" format specifier.
For example, decimal amount = 1234.56m; string formatted = amount.ToString("C"); will display "$1,234.56" in US culture.
decimal amount = 1234.56m; string formatted = amount.ToString("C");
For more control over the formatting, you can specify a culture explicitly using CultureInfo - amount.ToString("C", new CultureInfo("fr-FR")) would display "1 234,56 €".
amount.ToString("C", new CultureInfo("fr-FR"))
This allows your application to handle different currency symbols, decimal separators, and grouping conventions appropriately.
If you need to handle multiple currencies or require more specialized formatting, you can also use the String.Format() method or string interpolation with custom format strings.
For instance, String.Format("{0:C}", amount) or $"{amount:C}" achieves the same result as ToString("C"). Additionally, you can control the number of decimal places using format strings like "C2" for two decimal places.
String.Format("{0:C}", amount)
$"{amount:C}"
Remember that when dealing with financial calculations, it's best practice to use the decimal type rather than float or double to avoid rounding errors that could impact currency calculations.
decimal price = 1234.56m; // Basic currency formatting Console.WriteLine(price.ToString("C")); // Output: $1,234.56 // Currency formatting with specific culture Console.WriteLine(price.ToString("C", new CultureInfo("de-DE"))); // Output: 1.234,56 € // Currency formatting with string interpolation Console.WriteLine($"{price:C}"); // Output: $1,234.56 // Controlling decimal places Console.WriteLine(price.ToString("C3")); // Output: $1,234.560
When working with SQL Server, you may often need to count the number of unique values in a specific column. This is useful for analyzing data, detecting duplicates, and understanding dataset distributions.
To count the number of unique values in a column, SQL Server provides the COUNT(DISTINCT column_name) function. Here’s a simple example:
COUNT(DISTINCT column_name)
SELECT COUNT(DISTINCT column_name) AS distinct_count FROM table_name;
This query will return the number of unique values in column_name.
column_name
If you need to count distinct combinations of multiple columns, you can use a subquery:
SELECT COUNT(*) AS distinct_count FROM (SELECT DISTINCT column1, column2 FROM table_name) AS subquery;
This approach ensures that only unique pairs of column1 and column2 are counted.
column1
column2
By leveraging COUNT(DISTINCT column_name), you can efficiently analyze your database and extract meaningful insights. Happy querying!
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