Python, Java
Python basics
Dictionaries in Python are powerful data structures used to store collections of items that are unordered, changeable, and indexed by keys. Dictionaries allow for fast retrieval, addition, and removal of elements and are incredibly versatile for various programming tasks. Here’s an in-depth look at dictionaries with various examples to illustrate how to work with them. …
Sets in Python are unordered collections of unique elements. They are used when the existence of an item in a collection is more important than the order or how many times it occurs. Using sets can significantly improve performance for membership tests compared to lists or tuples, especially for large datasets. Here’s an overview of …
Recursion in Python is a technique where a function calls itself directly or indirectly to solve a problem. It’s a powerful concept often used in algorithms that break down a problem into smaller, more manageable parts. Here’s an in-depth look at recursion in Python with various examples to illustrate how it can be applied. Basic …
Functions in Python are defined using the def keyword, and they allow you to organize your code into reusable blocks. Functions can accept parameters, perform a set of actions, and return a value. Here’s a detailed look at functions in Python with various examples to illustrate how to define, call, and use functions for different …
Two-dimensional (2D) lists, often referred to as lists of lists, are a way to store tabular data in Python. They are particularly useful for representing matrices, grids, or any other form of nested data structures. Here’s a comprehensive look at 2D lists with various examples to illustrate their creation, access, manipulation, and practical applications. Creating …
Lists are versatile data structures in Python that are used to store collections of items, typically of heterogeneous types. Lists are mutable, meaning their elements can be changed after the list has been created. Here’s an in-depth look at lists, including operations like splitting and joining, working with list generators, and slicing lists, complemented with …
Strings in Python are used to store text data. Python treats single quotes (‘ ‘) and double quotes (” “) equally, allowing you to create strings. This flexibility lets you use quotes within your strings by alternating between single and double quotes. Strings are immutable, meaning once you create a string, you cannot modify its …
The while loop in Python is used to execute a block of code as long as a specified condition is true. This type of loop is particularly useful when the number of iterations is not known before the loop starts. Below are various examples showcasing the use of while loops in different scenarios. Basic while …
Loops are a fundamental concept in programming, allowing you to execute a block of code repeatedly. Python provides several loop mechanisms, with the for loop being one of the most versatile. The for loop in Python is used to iterate over a sequence (such as a list, tuple, dictionary, set, or string) or other iterable …
Python’s conditional statements allow you to execute different blocks of code based on certain conditions. The most common conditional statements in Python are if, elif (else if), and else. Here’s a detailed look at how to use these statements with various examples. Basic if Statement The if statement is used to execute a block of …