All Tutorial content from my online portfolio
Introduction to Dictionaries Dictionaries in Python are another essential data structure, offering a way to store data in key-value pairs. Unlike lists, dictionaries are unordered and are optimized for fast…
Continue readingClosures in Python are functions that remember and retain references to variables from the scope in which they were defined. This unique feature enables the creation of self-contained functions that…
Continue readingPartial functions in Python are functions that are derived from existing functions by fixing a subset of the arguments. They enable us to create specialized versions of functions with predetermined…
Continue readingSets in Python are unordered collections of unique elements. They provide a way to store and manipulate data without duplicate values. Sets are particularly useful when dealing with scenarios that…
Continue readingHow amazing is this banner image? Anyway. Exception handling is a mechanism in Python that enables the detection and management of runtime errors or exceptional conditions. It prevents the abrupt…
Continue readingRegular expressions, commonly known as regex, are sequences of characters that define a search pattern. They enable us to perform advanced text matching and manipulation by using metacharacters, quantifiers, and…
Continue readingMultiple function arguments in Python enable functions to accept an arbitrary number of arguments, providing flexibility and adaptability. There are two types of multiple function arguments: positional arguments and keyword…
Continue readingLambda functions, also known as anonymous functions, are small, one-line functions without a defined name. They are created using the lambda keyword and can take any number of arguments but…
Continue readingList comprehensions provide a straightforward syntax for transforming data within lists. By applying expressions and conditions within the comprehension, you can modify each element of the original list and generate…
Continue reading