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Creating Next Gen Apps in Finance.
Key Features:
- Master the Python libraries and packages essential for financial applications, enabling robust development.
- Utilize Python for developing applications that process financial information, visualize data in diverse formats, and create insightful representations.
- Derive analytical insights from mathematical models integrated into Python applications for data-driven decision-making in finance and fintech.
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.
What you will learn:
- Learn to build robust applications tailored for financial analysis, modeling, and fintech solutions using Python.
- Learn to analyze large volumes of financial data, and visualize insights effectively.
- Apply advanced AI/ML techniques to predict trends, optimize financial strategies, and automate decision-making processes.
- Integrate Python with Big Data platforms and Blockchain technologies to work with massive datasets and decentralized financial systems.
- Acquire the knowledge and skills to innovate in the fintech space to address modern financial challenges and opportunities.
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