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Functions and Recursion in Python
In Python , functions are reusable blocks of code designed to perform a specific task. They help in breaking down large programs into smaller, manageable, and...
Lambda, Map, Filter, and Reduce in Python
In Python , Lambda functions and higher-order functions like map() , filter() , and reduce() are key tools in functional programming . They allow you to write...
Modules and Packages in Python
As your Python projects grow, managing code in a single file becomes difficult. To keep your code organized, reusable, and maintainable, Python provides modules...
Exception Handling in Python
In Python , errors can occur during program execution, known as exceptions . If not handled properly, these exceptions can terminate your program. Exception...
File Handling in Python
File handling is one of the most important aspects of programming. It allows you to store, retrieve, and manage data permanently. In Python , you can easily...
Reading and Writing CSV Files in Python
CSV (Comma-Separated Values) files are one of the most common formats for storing tabular data — like spreadsheets or databases — in plain text form. Each line...
Comprehensions in Python
Comprehensions in Python provide a concise and elegant way to create new sequences (like lists, sets, or dictionaries) from existing iterables such as lists...
Working with Dates and Time in Python
Working with dates and time is a common requirement in programming — from logging events to scheduling tasks or analyzing time-based data. Python provides...
Regular Expressions in Python
Regular Expressions (RegEx) are powerful tools used to search, match, and manipulate text based on specific patterns. Python provides the re module to work with...
JSON Handling in Python
JSON (JavaScript Object Notation) is one of the most popular data formats used for data exchange between a server and a client. Python provides the built-in...