Python courses

  Using the Step The step determines the interval between indices that are included when slicing a sequence. It allows you to select elements at regular intervals or to manipulate elements in a non-linear fashion. Syntax  sequence[start:stop:step] start: The index to start the slicing (inclusive). If omitted, slicing starts from the beginning of the sequence. […]

Negative Indexing Negative indexing allows you to access elements in a sequence using negative indices. Negative indices start from -1 for the last element, -2 for the second-to-last, and so on. Syntax To access an element or perform slicing with negative indexing, you use the following syntax:  sequence[-index]  -index: A negative integer representing the position

Slice To the End When slicing to the end of a string, you specify the start index, and optionally a step value, while omitting the stop index. The slicing will continue from the specified start index to the end of the string. Syntax  string[start:step] start: The index where slicing begins (inclusive). If omitted, slicing starts

Slice From the Start When you slice a string from the start, you specify the stop index, and optionally a step value, while omitting the start index. The slicing will start from index 0 by default. Syntax  string[:stop:step]  stop: The index where the slicing ends (exclusive). Characters up to, but not including, this index are

Basic Slicing The basic syntax for slicing in Python is:  string[start:stop:step]  start: The index where slicing starts (inclusive). If omitted, slicing starts from the beginning of the string. stop: The index where slicing ends (exclusive). If omitted, slicing goes to the end of the string. step: The step size or increment between indices. If omitted,

Checking if NOT In Python, the not operator is used to invert the boolean value of a condition. When working with strings, it helps in checking scenarios where certain conditions should not be true. Here’s a detailed guide on how to use not for various string checks. Basic Usage of not The not operator negates

Checking Strings Checking strings involves validating or verifying certain properties or contents of a string. Python provides several built-in methods and operators to perform these checks. Here’s an in-depth look at various ways to check strings. Checking if a Substring Exists You can check if a specific substring exists within a string using the in

String Length The length of a string refers to the total number of characters it contains. In Python, the len() function is used to get the length of a string. Understanding string length is crucial for various operations such as validation, manipulation, and formatting. Here’s a detailed exploration of how to work with string lengths.

Looping Through a String Looping through a string involves iterating over each character in the string. This can be done using different methods, such as for loops, while loops, and more. Here’s a detailed exploration of these techniques. Using a for Loop The most common and straightforward way to loop through a string is by

Strings are Arrays In Python, strings are sequences of characters, and they can be treated similarly to arrays or lists when it comes to indexing and slicing. This means that you can access individual characters, extract substrings, and perform various operations just like you would with arrays or lists. Here’s a detailed look at how