Your cart is empty 
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 DescriptionDive 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.
Table of Contents1. Getting Started on Python Infrastructure and Building Financial Apps2. Learning Financial Concepts Using Python3. Data Structures and Algorithms Using Python4. Object Oriented Programming Using Python5. Building Simulation and Mathematical Analysis Tools Using Python6. Stochastic Mathematics and Building Models Using Python7. Prediction Algorithms Using Python8. Data Science and Statistical Algorithms Using Python9. Desktop and Web Charting Using Python10. AI/ML Apps Using Python11. Big Data/Blockchain-Based Solutions Using Python12. Next Generation FinTech Apps Using Python with Financial SingularityIndex
About the AuthorsBhagvan Kommadi is a seasoned IT leader with over 20 years of experience and is currently working as a Chief Information Officer. He ensures the IT performance to operate at high productivity and delivers high business value to the customers and employees. He establishes policies and the IT best practices in the company with the right IT Governance to meet Compliance requirements. He is responsible for ensuring data quality, integrity, and security standards in the IT infrastructure.
Bhagvan Kommadi is a seasoned IT leader with over 20 years of experience and is currently working as a Chief Information Officer. He ensures the IT performance to operate at high productivity and delivers high business value to the customers and employees. He establishes policies and the IT best practices in the company with the right IT Governance to meet Compliance requirements. He is responsible for ensuring data quality, integrity, and security standards in the IT infrastructure.
He has done Masters in Industrial Systems Engineering from the Georgia Institute of Technology (1997) and Bachelors in Aerospace Engineering from the Indian Institute of Technology, Madras (1993). He is an Individual member of Oracle JCP. He has published papers on IEEE, JIMR, Johr Online, and the Association of Data Scientists (ADaSci) on latest technologies. He is a TEDx Speaker and presented at EuroPython, Pycon, ClueCon Weekly, World RPA Conference, and Avios conferences. He has worked extensively in FinTech Space in various verticals such as Banking, Financial Services, and Insurance.
Bhagvan has worked for Fortune 500 companies including JPMC, Fidelity, Oracle, Siebel, Citi, American Express, ING, ENBD, Pacific Corp, and Kaiser Permanente. He has provided technology and business process reengineering consulting guidance and implemented various new-generation platforms for business enablement.
Bhagvan founded Quantica Computacao, the first quantum computing startup in India. He has positioned Quantica Computacao in the 'Emerging Companies' section of Quantum Computing quadrants. The company's focus is on developing quantum cryptographic tools which will be able to provide quantum-proof data security, which will help banking institutions protect their transactions.
He contributes to open-source projects, blogs, and the latest technology stacks such as Go, Python, Django, Node.js and Java, Mysql, Postgres, Mongo, and Cassandra. He has presented at IEEE, Avios, Astricon, Devcon, and PyCon on topics such as Adaptive Learning and AI Coder.
Sneak Preview
