Item #:
145727621
Ultimate Python for Fintech Solutions: Build Modern Financial Applications and Fintech Solutions Using Finance Packages and Blockchain with Python
Item #:
145727621
MKD 2994
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Dive into the dynamic world where finance meets fintech with Python's versatile capabilities.
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What Stands Out
Comprehensive Curriculum
Offers a complete guide to building financial applications using Python, making it ideal for both beginners and seasoned developers looking to enhance their fintech expertise.
Finance Package Integration
Integrates popular finance packages and blockchain technologies, enabling users to create modern fintech solutions that address real-world financial challenges effectively.
Hands-On Projects
Includes practical projects that enhance learning and application of Python in finance, ensuring users can apply knowledge directly to their work in the fintech sector.
Product Details
- 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. Next Generation FinTech Apps Using Python with Financial Singularity Index About the Authors 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.
| Publisher | Orange Education Pvt Ltd |
| Publication date | July 12, 2024 |
| Language | English |
| File size | 22.5 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 495 pages |
| Page Flip | Enabled |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
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Aspiring Developers
Ideal for those looking to develop skills in Python specifically for finance-related applications and technologies.
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Finance Professionals
Useful for finance experts who want to enhance their technical skills in building financial applications using Python.
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Tech Entrepreneurs
Great for entrepreneurs in the fintech space seeking to understand application development using Python and blockchain technologies.
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Beginners in Programming
Not suitable for complete beginners as prior knowledge of programming concepts is necessary to follow along effectively.
Product Description
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Pros
- Comprehensive coverage of fintech concepts
- Hands-on projects enhance learning
- Good balance of theory and application
- Useful resources for Python developers
- Relevant for current industry trends
Cons
- Some sections may feel overwhelming for beginners.
Product Price History
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MKD 2994
Order now and get it around Friday, October 09
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Features & Benefits
- Master essential Python libraries for financial applications.
- Develop applications that process and visualize financial data.
- Derive insights from integrated mathematical models for decision-making.
- Build scalable solutions for complex financial data.
- Explore AI/ML applications tailored for finance.
- Gain expertise in advanced technologies like Big Data and Blockchain.
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