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The Cornerstones of Success: Simplicity, Innovation, and Customer Centricity In the dynamic world of business, the path to enduring success is rarely linear. However, certain fundamental principles consistently guide organizations towards profitability and longevity. Based on the inspiring journeys of Veeba, Jumbo King, and Royal Enfield, we can identify three core elements: Simplicity, Innovation, and Customer Centricity . 1. Simplicity as the Foundation: Veeba: The brand's inception focused on a limited product line, prioritizing quality and safety above all else. The founder's unwavering commitment to serving only products he would feed his own children instilled a strong foundation of trust and quality. Jumbo King: The initial focus was laser-sharp: to provide fresh, fast, and consistently high-quality Vada Pavs. This simplicity allowed them to perfect their core offering before expanding. Royal Enfield: Siddhartha Lal recognized the need for a focused approach. He stre...

Leveraging Jupyter Notebooks with VS Code: A Comprehensive Guide Visual Studio Code, a popular and versatile code editor, offers seamless integration with Jupyter Notebooks, providing data scientists and developers with a powerful environment for interactive data analysis. This guide will walk you through the steps of setting up and using Jupyter Notebooks within VS Code, taking full advantage of its autocompletion features. Prerequisites: VS Code: Ensure you have the latest version installed. Python: Python should be installed on your system. Jupyter Notebook: Jupyter Notebook needs to be installed. Step-by-Step Guide: Open Your Workspace: Launch VS Code and navigate to the folder where your Jupyter Notebook files are saved. This can be done using the File Explorer within VS Code. Install Jupyter Notebook Extension: If not already installed, search for the "Jupyter" extension in the VS Code extensions marketplace and install it. This extension provides essential feat...

Predicting Your Portfolio's Future: Unveiling the Code Hey financial wizards and data enthusiasts! Today, we're diving into the world of Python and portfolio prediction. We'll be dissecting a code script that helps you estimate the future risk and return of your investment choices. But first, a disclaimer: Predicting the market with absolute certainty is a fool's errand. This script is a tool to inform your decisions, not a magic crystal ball. Now, let's crack the code! The script utilizes the nselib library to access historical stock data from the National Stock Exchange of India (NSE). Here's a breakdown of the key functions: format_data : This function takes a list of stock symbols and retrieves their closing prices for the past year. It then cleans and formats the data into a Pandas DataFrame for easy analysis. Expected_risk : This function calculates the expected risk of your portfolio based on the weights assigned to each stock and their historical co...

Codec Error I was using Kazam to record my Kali Linux screen and exported the recordings to Windows for editing, as Linux isn't as robust for video editing. The editor was throwing a codec error because the recordings were in H.264 (.mp4) format. Kazam doesn't offer much flexibility to change codecs, so manual re-encoding was necessary. This codec error isn't exclusive to Kazam recordings. Other videos in the same format might encounter similar issues and can likely be resolved with the same solution. Solution I re-encoded the video files using FFmpeg. To streamline and automate the process, I created a Python script to re-encode all video files within a specified folder. You can find the code and explanation below.   Installing Dependencies Make shoure to have all the required pakages sudo apt update sudo apt install ffmpeg   Code Explanation This Python script is designed to process video files within a specified directory. It performs the following tasks: Prompts for In...