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)

 

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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)

• Length: 158 pages
• Edition: 1
• Language: English
• Publication Date: 2024-08-16

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.

Throughout the book, you’ll encounter practical examples, case studies, and exercises designed to reinforce your understanding. By the end, you’ll have the confidence and skills to:

• 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.

Whether you’re a newcomer to Python or already have some programming experience, this workbook provides a clear,structured, and engaging approach to mastering financial analysis with Python’s most powerful libraries.

Empower your financial analysis with Python. Get your copy today and start making data-driven decisions with confidence.