?What is the MFTool Python library used for

The MFTool Python library is used to fetch mutual fund data such as NAV (Net Asset Value), fund names, and scheme codes from the Indian mutual fund market. It allows users to automate data collection and analysis in Python, making it useful for financial applications and investment tracking.

?How can I install the MFTool library in Python

You can install the MFTool library using pip by running the command: bash Copy Edit pip install MFTool After installation, you can import it in your script using from MFTool import MFTool and start querying mutual fund data easily.

MFTool python library

Track :

Programming

Course Presenter :

Financial Programming with Ritvik CFA

Lessons no : 3

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Lessons | 3

00:18:03

Build a Powerful Mutual Fund Dashboard with MFtool in Python Step by Step Guide Part 2

00:20:55

Build a Powerful Mutual Fund Dashboard with MFtool in Python Step by Step Guide

00:14:20

How to do Mutual Fund Analysis in Python MFTool Python Library

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MFTool python library, in this course you’ll learn how to install and use the MFTool Python library to fetch mutual fund NAV data, perform efficient queries, and integrate financial insights into your Python projects. Whether you’re a beginner in finance or a data enthusiast, this course guides you through MFTool’s features step by step. You'll explore real-world use cases, automate data fetching, and understand how to analyze mutual fund performance using Python. By the end, you'll be equipped with the skills to build financial tools, dashboards, or automated scripts using MFTool. Join us and start your journey into financial data analysis with Python. Financial Programming with Ritvik CFA

MFTool python library

Programming

Financial Programming with Ritvik CFA

How to Get The Certificate

Build a Powerful Mutual Fund Dashboard with MFtool in Python Step by Step Guide Part 2

Build a Powerful Mutual Fund Dashboard with MFtool in Python Step by Step Guide

How to do Mutual Fund Analysis in Python MFTool Python Library

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