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- 2020.09.06.
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Ultimate Python for Fintech Solutions by Bhagvan Kommadi | 50.46 MB
N/A Pages
Title: Ultimate Python for Fintech Solutions
Author: Bhagvan Kommadi
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 WILL YOU 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.
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 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 Singularity Index
DOWNLOAD:
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 WILL YOU 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.
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 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 Singularity Index
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