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 ? Gain the skills to set up, configure, and maintain Kubernetes clusters, ensuring secure and efficient operations. ? Learn how to create, deploy, and manage applications on Kubernetes, including handling updates and scaling. ? Acquire in-depth knowledge of Kubernetes networking and storage, enabling you to design and implement robust solutions. Who is this book for? This book is for working professionals, students, business managers, consultants, technical functional analysts, anyone wishing to improve their skills in Fintech with Python. This book will be a great start for a programmer who wants to start on the Python tech stack and make a career in Fintech space. The prerequisites for the reader will be basic mathematics and advanced math topics such as time series, derivatives, and integrals. The outcome for the reader will be to understand mathematical modeling and to have capability to develop next gen financial apps. 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.