Month: August 2024

In this blog post, we’ll learn how to extract a specific portion of text between two substrings in a given input string. This technique is useful in various scenarios, such as processing file paths, extracting data from logs, or handling any structured text data. Problem Statement Given a string, we want to extract the part

In many business and enterprise environments, data is often stored on network drives accessible to multiple users. Python provides several ways to access and read files from these network paths. This guide will walk you through the steps to read a file located on a network path in Windows using Python. Prerequisites Steps to Read

Introduction When dealing with large datasets, it is common to encounter duplicate files, especially when copying files based on specific criteria. Simply comparing file names or paths isn’t sufficient to avoid duplicates because the same file might exist in different locations. In this blog post, we will explore how to use Python to avoid copying

Introduction When working with large datasets or numerous text files, it might be necessary to copy files containing specific words to a new destination while preserving the original directory structure. This can be particularly useful for maintaining organization and context. In this blog post, we’ll explore how to achieve this using Python. The Problem Imagine

Introduction When working with large datasets or numerous text files, you might find yourself needing to search for files containing specific words or phrases. Automating this task can save a lot of time and effort. In this blog post, we’ll walk through a Python script that searches for a specific word in multiple files and

Introduction: Understanding salary distributions across different countries is crucial for various economic analyses, market insights, and policy decisions. Boxplots are an effective graphical tool that provides a clear summary of data distribution, including median, quartiles, and outliers. In this blog post, we’ll explore how to create and interpret boxplots to analyze salaries by country, incorporating

Introduction In today’s data-driven world, automating data generation and storage is crucial for various applications, including testing, data analysis, and machine learning. This blog post will guide you through creating a Python program to generate random data using the Faker library, save it as a CSV file, and upload it to Azure Blob Storage. This