Sptrop

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...