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Python Script for Find and Replace Overview Python Script Extensions and Improvements Considerations Overview This page demonstrates a Python script that automates the process of finding and replacing text in .txt files based on a spreadsheet. The script includes features such as error handling, logging, configuration, and backup. Python Script for Find and Replace # Import necessary libraries import pandas as pd import os import logging import shutil import configparser from pathlib import Path # Setup logging to track the script's progress and issues def setup_logging(): logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s', handlers=[ logging.FileHandler("find_and_replace.log"), ...

Complete Guide to Web Development Technology Stacks Complete Guide to Web Development Technology Stacks Choosing the Right Technology Stack Selecting the appropriate technology stack is one of the most critical decisions in web development. Your choice impacts: Development speed - How quickly you can build and iterate Scalability - How well your application can grow Performance - The speed and responsiveness of your app Maintainability - How easy it is to update and extend your code Team expertise - The skills your developers need to have Cost - Both development and hosting expenses Pro Tip: Consider your project requirements, team skills, and long-term maintenance needs when choosing a stack. Popular Technology Stacks MERN Stack The MERN stack is one of the most po...

NPM Package Installation Explained NPM Package Installation Explained To install the necessary packages for your Node.js project, use the following command: npm i cors @withvoid/make-validation express jsonwebtoken mongoose morgan socket.io uuid --save cors cors is a package for enabling Cross-Origin Resource Sharing (CORS) in your Express application. const cors = require('cors'); const app = express(); app.use(cors()); More info: cors on npm @withvoid/make-validation @withvoid/make-validation is a simple and customizable validation library for Node.js. const { makeValidation } = require('@withvoid/make-validation'); const validation = makeValidation(types => ({ name: types.string.required, age: types.number })); const result = validation.validate({ name: 'John', age: 30 }); More info: make-validation on npm expre...

Fix npm.ps1 Execution Policy Error Fix npm.ps1 Execution Policy Error This error occurs because PowerShell's execution policy is set to restrict the running of scripts for security reasons. To resolve this issue, follow these steps: Open PowerShell as Administrator: Press Windows Key + X to open the Power User menu. Select "Windows PowerShell (Admin)" or "Windows Terminal (Admin)" if you are on Windows 11. Change the Execution Policy: In the PowerShell window, run the following command to change the execution policy to RemoteSigned , which allows scripts that are downloaded from the internet to run if they are signed by a trusted publisher: Set-ExecutionPolicy RemoteSigned -Scope CurrentUser You might be prompted to confirm the change. Press Y and then Enter . ...

PLINQ Methods Example PLINQ Methods Example PLINQ takes your data query and, like a team of clones, processes different parts of the data at the same time. It’s like having multiple shoppers in the store, each with a copy of the shopping list, working in parallel to finish the shopping faster. using System; using System.Linq; using System.Threading; using System.Threading.Tasks; class PLINQMethodsExample { static void Main(string[] args) { // Example data source var numbers = Enumerable.Range(1, 100); // AsParallel to enable parallelization var parallelQuery = numbers.AsParallel(); // WithDegreeOfParallelism to limit the number of processors to use var limitedParallelismQuery = numbers.AsParallel().WithDegreeOfParallelism(2); // WithExecutionMode to hint PLINQ on how to execute the query var forcedParallelismQuery = numbers.AsParallel().WithExecutionMo...

Code Sample and Text Backpropagation In Python In the case of simple feedforward neural networks, the process of backpropagation can be done efficiently in Python. First, we will import the necessary libraries. import numpy as np Next, we will define a simple neural network with one hidden layer. def sigmoid(x): return 1.0 / (1 + np.exp(-x)) def sigmoid_derivative(x): return x * (1.0 - x) class NeuralNetwork: def __init__(self, x, y): self.input = x self.weights1 = np.random.rand(self.input.shape[1],4) self.weights2 = np.random.rand(4,1) self.y = y self.output = np.zeros(self.y.shape) def feedforward(self): self.layer1 = sigmoid(np.dot(self.input, self.weights1)) self.output = sigmoid(np.dot(self.layer1, self.weights2)) def backprop(self): # application of the chain rule to find d...

Facade Pattern Facade Pattern We assume that you have a few things and you get them with one facade. I demonstrated 1 class. But i am sure that you would understand clearly.