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Beginner

Setting Up Python for Financial Data Analysis

Get your Python environment, core libraries and first real NSE/BSE data pipeline working, so you're ready to analyse Indian markets in code instead of spreadsheets.

Python SetupNumPy & PandasMarket Data Pipelines
MODULES
3
DURATION
4 Hours
TRACK
Python for Finance

What You'll Master

Install and configure Python, VS Code and Jupyter for financial analysis work
Manage virtual environments and packages so your projects stay reproducible
Use NumPy and pandas to work with price and returns data
Pull real NSE and BSE data into Python with yfinance and CSV bhavcopy files
Clean raw market data into a tidy DataFrame ready for analysis
Access Level
LEARNER
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Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates

Curriculum Breakdown

Chapter 1: Getting Your Python Environment Ready

3 Lessons
▶
Why Python for Financial Analysis8 min read
Preview
▶
Installing Python and Choosing Your Setup10 min read
▶
Virtual Environments and Package Management10 min read

Chapter 2: Python Fundamentals for Financial Data

3 Lessons
▶
Data Types and Structures You'll Actually Use12 min read
▶
NumPy Basics for Numerical Work12 min read
▶
Pandas Basics: DataFrames and Series14 min read

Chapter 3: Getting Real Market Data Into Python

3 Lessons
▶
Pulling NSE and BSE Data with yfinance12 min read
▶
Reading Screener.in Exports and NSE Bhavcopy Files10 min read
▶
Cleaning and Structuring Raw Market Data12 min read