Pocket Python for Finance is a compact and practical guide for finance professionals, students, and investors. This book is designed to quickly equip you with the essential skills to apply Python to financial tasks, starting with the basics of the language itself.

The book moves efficiently from Python fundamentals to key financial applications. You'll learn how to effectively use core libraries like Pandas and Matplotlib to:

Process and analyze financial data.
Automate data retrieval and reporting.
Visualize performance and market trends.

With a focus on hands-on examples, this book offers a fast and direct path to mastering the programming skills necessary for modern financial analysis.

Chapters

Introduction & requirements
Python: The Language of Data
Operations & Variables
Lists, Data types, Tuples & Dictionaries
Help function in Python
Basic Functions and Methods
The Numpy Library
If - Else
The Math Library
Creating Functions
For Loop
The Pandas Library
While Loop
Saving and Loading .py files
Application 1: Get Historical Data
Application 2: Data Visualization
Application 3: (Linear) Regressions & Financial Models
Application 4: Portfolio Theory & Optimisation

"About this title" may belong to another edition of this title.

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