F-strings in Python are a concise and powerful way to format strings. You can include any valid Python expression inside the curly braces in an f-string.
You can also use f-strings to format dates and times. Here's an example that formats a datetime object:
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F-strings can also include conditional expressions. Here's an example that uses a conditional expression to format a string:
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F-strings also support string interpolation for objects that have a __str__ or __repr__ method. Here's an example that formats a custom object:
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You can use f-strings to format dictionary values as well. Here's an example that formats a dictionary:
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F-strings can also include expressions with function calls. Here's an example that uses the len() function:
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F-strings can also include arithmetic expressions. Here's an example that adds two numbers:
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F-strings can include expressions with ternary operators. Here's an example that uses a ternary operator to format a string based on a boolean value:
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F-strings can include expressions with file I/O. Here's an example that reads a file and formats the contents using an f-string:
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You can use f-strings to format values with custom formatting functions. Here's an example that formats a date using a custom formatting function:
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You can use f-strings to format complex objects like dictionaries with nested keys. Here's an example that formats a nested dictionary:
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You can use f-strings to format and align tabular data. Here's an example that formats tabular data using f-strings:
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Using f-strings to write data to a file with a filename variable:
This example uses an f-string to display the number of bytes that were written to the file, as well as the filename itself.
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With f-strings, you can format strings quickly and easily with a minimum of fuss.
Give them a try and see how they can make your code more concise and readable!
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That's all for this thread. Hope you loved these quick code snippets on f-strings.
If you did, follow me for more snippets on python : @TheGeekyB0y
Loops are an essential programming concept that allow you to execute a block of code repeatedly. There are two main types of loops in Python: for loops and while loops.
1. Use the 'timeit' module to measure the performance of your code.
This will give you a baseline to work from and help you identify areas of your code that are particularly slow.
2. Use the 'cProfile' module to profile your code and identify bottlenecks.
This will give you a detailed breakdown of where your code is spending most of its time, so you can focus your optimization efforts on the most impactful areas.