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- 2024.09.10.
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Free Download Python programming Workbook for Financial Analysis with Pandas, Numpy and SciPy: A Complete Hands-on Beginner's Guide to Building Financial Models, Data ... Visualization (Programming Foundations) by Techie Taylor
English | August 16, 2024 | ISBN: N/A | ASIN: B0DDH2BSNG | 158 pages | EPUB | 0.21 Mb
Python Programming Workbook for Financial Analysis with Pandas, NumPy, and SciPy
A Complete Hands-on Beginner's Guide to Building Financial Models, Data Analysis, Cleaning, and Creating Visualization with a Focus on Best Practices and Optimization
Unlock the power of Python for financial analysis and modeling with this comprehensive workbook designed for aspiring finance professionals and data enthusiasts. Whether you're a student, analyst, or simply looking to enhance your data skills, this book provides a step-by-step journey into the world of financial modeling, data cleaning, analysis, and visualization using the essential Python libraries: Pandas, NumPy, and SciPy.
Starting with the fundamentals of Python programming and its application in finance, this workbook gradually guides you through real-world scenarios and hands-on exercises. You'll learn to:
- Import, clean, and manipulate financial data using Pandas, ensuring data integrity and accuracy for analysis.
- Perform complex calculations and build financial models using NumPy's powerful array manipulation capabilities.
- Apply advanced statistical techniques and risk analysis with SciPy to gain deeper insights into your data.
- Create informative and visually appealing charts and graphs to effectively communicate your findings.
- Optimize your code for efficiency and performance, ensuring your models run smoothly and handle large datasets.
- Follow industry best practices to ensure your financial analysis is robust and reliable.
- Analyze financial data and extract meaningful insights.
- Build and test financial models to make informed decisions.
- Automate repetitive tasks and streamline your workflow.
- Create professional reports to present your findings.
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