Defining Classes and Instances A class acts as a blueprint for creating specific objects. Variables defined directly within the class body are referred to as member variables. class UserProfile: username = None role = None active_status = None Instantiating the class generates an independent object:...
Constants and Elementary Functions in math The math module ships with Python's standard library and exposes fundamental mathematical constants alongside a broad set of floating-point operations. Access constants like π and e directly: from math import pi, e circle_radius = 5 area = pi * (circle_radi...
Logging Fundamentals Logging provides a mechanism to track software runtime events. Developers instrument their code with logging calls to capture system activities. Each event consists of a descriptive message that may include variable data and is assigned a seveirty level. Log Severity Levels Log...
The task is to identify the longest common prefix shared among all strings in a given array. For instance, with an input like ['abc', 'abcd', 'abd'], the result should be 'ab'. Approach 1: Brute Force Itertaion A straightforward method involves incrementally building prefixes and verifying each one...
Installation First, install the required library: pip install jsonschema Validating Basic Data Types The fololwing example demonstrates validating an object with string and numeric fields: from jsonschema import validate definition = { "type": "object", "properties": {...
import math import numpy as np import pandas as pd import random from docx import Document import re random.seed(0) pd.options.display.max_rows = None # --------------------------- Configuration parameters --------------------------- doc_path = r"simple_word.docx" learning_rate = 0.01 embe...
List comprehensions provide a convenient way to create lists in Python, but they come with a significant drawback: the entire list is stored in memory. For large datasets, this can quickly exhaust available resources. Consider a scenario where a list of one million items is created, but only the fi...
Mapping Sequences with map() The map() function constructs an iterator that applies a given function to each item of an iterable. It transforms the data structure by passing every element through a processing logic. Conisder calculating the cubic value for a sequence of integers: def cube(val): retu...
An iterator in Python provides a uniform way to traverse collections without exposing underlying structure. It captures the current location during traversal and proceeds strictly forward, never backward. Every iterator exposes two essential functions: iter() to obtain the object and next() to retri...
The curlify library enables conversion of Python requests objects into executable cURL command strings. This functionality is particularly useful for debugging HTTP intercations and replicating API calls out side of Python environments. Installation is performed via pip: pip install curlify Once ins...