Python

What is Encapsulation and Abstraction in Python OOP ?

Encapsulation and Abstraction are concepts of Object-Oriented Programming that can help us create good programs in Python by promoting modularity, security, and maintainability.   Encapsulation: The Python language can use this fundamental concept of OOP programming. In Python, encapsulation is the practice of bundling data and methods that operate on that data into a single …

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Understanding the concept of class and object into the Python.

Class: A class is a blueprint of object. It can also use to make the templets for objects. Class can provide the initial values for state and implementation of behaviour. The user-define objects are created using the “class” keyword. Example: class Company: # Use the class keyword for create the class in python company_name:”Vanadan Industries” …

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How to Securely Store and Hash Passwords in Python (bcrypt, argon2)

Passwords are the primary method of authentication in most systems, but storing them insecurely can lead to data breaches. If passwords are stored in plain text or using weak hashing methods, attackers can easily compromise user accounts. This is why secure password hashing is critical. In this guide, we will explore password hashing, why it …

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Handling Missing Data: MICE, KNN Imputation, and Interpolation

Handling missing data is a crucial step in data preprocessing. When working with real-world datasets, missing values are common due to various reasons such as data entry errors, sensor malfunctions, or incomplete surveys. If not handled properly, missing data can lead to biased results and reduced accuracy in machine learning models. Ignoring missing data can …

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Handling Imbalanced Datasets with SMOTE, ADASYN & Class Weighing

Imbalanced datasets are a common challenge in machine learning. This occurs when one class has significantly fewer samples compared to the other, leading to biased models that favor the majority class. Such imbalances can result in misleading accuracy scores, as the model may predict the majority class correctly while failing to identify the minority class …

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Hyperparameter Tuning in Scikit-Learn Using GridSearchCV & RandomizedSearchCV

Hyperparameter Tuning in Scikit-Learn Using GridSearchCV & RandomizedSearchCV Although machine learning models are effective tools, the selection of hyperparameters has a significant impact on how well they work. One of the most important steps in creating a machine learning model is hyperparameter tuning. To get the greatest results, it entails fine-tuning the model’s hyperparameters. GridSearchCV …

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Creating a Custom Bash Script in Python Using subprocess

Bash scripts are widely used for automating tasks in Linux, but sometimes Python is a better choice for handling complex logic. With Python’s subprocess module, you can execute Bash commands, integrate system operations, and even create custom Bash-like scripts. Why Use Python for Bash Scripting? Easier to manage logic and error handling More readable than …

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Implementing Trie Data Structure for Fast String Matching

Introduction The Trie data structure (also known as a prefix tree) is widely used for efficient string searching. It is particularly useful for applications like autocomplete, spell checkers, and IP routing. What is a Trie? A Trie is a tree-like data structure that stores strings by breaking them into individual characters. Each node represents a …

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