Creating Next Gen Apps in Finance
Book Description
Dive into the dynamic world where finance meets fintech with Python's versatile capabilities in this 'Ultimate Python for Fintech Solutions'. Whether you're aiming to build secure trading platforms, conduct deep statistical analysis, or pioneer next-generation financial technologies, this book quips you with the knowledge, tools, and practical insights to succeed.
This book starts with Python's foundational programming techniques, essential for understanding financial principles and laying the groundwork for robust applications. You will learn to build scalable solutions that handle complex financial data with ease by using Python for analysis, forecasting, and data visualization.
Next, it moves to explore advanced topics like AI/ML applications tailored for finance, enabling you to unlock predictive insights and streamline decision-making processes. You will discover how Python integrates cutting-edge technologies such as Big Data and Blockchain, to offer innovative solutions for modern fintech challenges.
By the end of this expansive book, you will gain the expertise needed to develop sophisticated financial applications, visualize data effectively across desktop and web platforms, and drive innovation in fintech.
Table of Contents
1. Getting Started on Python Infrastructure and Building Financial Apps
2. Learning Financial Concepts Using Python
3. Data Structures and Algorithms Using Python
4. Object Oriented Programming Using Python
5. Building Simulation and Mathematical Analysis Tools Using Python
6. Stochastic Mathematics and Building Models Using Python
7. Prediction Algorithms Using Python
8. Data Science and Statistical Algorithms Using Python
9. Desktop and Web Charting Using Python
10. AI/ML Apps Using Python
11. Big Data/Blockchain-Based Solutions Using Python
12. Next Generation FinTech Apps Using Python with Financial Singularity
Index
"synopsis" may belong to another edition of this title.
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