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๐Ÿ“

Algo Fundamentals: With Python: A Comprehensive Guide for 2024

โœ Scribed by Schwartz, Alice; Van Der Post, Hayden


Publisher
Reactive Publishing
Year
2024
Tongue
English
Leaves
318
Category
Library

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โœฆ Synopsis


Unlock the Power of Algorithms with Python!

Dive into the dynamic world of algorithms with "Algo Fundamentals with Python" โ€“ the definitive guide for anyone looking to master the art of problem-solving using Python. Whether you're a beginner eager to delve into the world of programming, or an experienced coder aiming to deepen your algorithmic understanding, this book is your perfect companion.

Key Features

User-Friendly Approach: Crafted for easy understanding, this book breaks down complex algorithmic concepts into simple, digestible sections, making learning both engaging and effective.

Real-World Applications: Discover the practical applications of algorithms in various fields, bringing theory to life and providing a perspective on how these skills can be applied in real-world scenarios.

Comprehensive Coverage: From basic data structures to advanced topics in machine learning and artificial intelligence, this book offers extensive coverage of essential algorithmic concepts.

Hands-On Learning: Packed with exercises, examples, and projects, you get to apply what you learn immediately, reinforcing your skills through practice.

Python-Focused: Python's simplicity and versatility make it the ideal language for learning algorithms. This book leverages Python to teach concepts in a clear and approachable manner.

What You'll Learn

Fundamental principles of algorithms and why they are a critical part of programming.

Core Python programming concepts and how to apply them in creating efficient algorithms.

Advanced topics such as AI and machine learning algorithms, providing a glimpse into the future of technology and programming.

Best practices in coding and algorithm development, setting you up for long-term success in your programming career.

Who This Book Is For

"Algo Fundamentals with Python" is perfect for students, professionals, or anyone with a curiosity about coding and a desire to learn. It's particularly valuable for those in computer science, data analysis, or any field

โœฆ Table of Contents


Title Page
Copyright
Dedication
Contents
Chapter 1: Introduction to Algorithmic Trading
1.1 Definition of Algorithmic Trading
1.2 Key Benefits of Algorithmic Trading
1.3 Fundamentals of Algorithm Design
1.4 Regulatory and Ethical Considerations
Chapter 2: Understanding Financial Markets
2.1 Market Structure and Microstructure
2.2 Asset Classes and Instruments
2.3 Fundamental and Technical Analysis
2.4 Trading Economics
Chapter 3: Python for Finance
3.1 Basics of Python Programming
3.2 Data Handling and Manipulation
3.3 API Integration for Market Data
3.4 Performance and Scalability
Chapter 4: Quantitative Analysis and Modeling
4.1 Statistical Foundations
4.2 Portfolio Theory
4.3 Value at Risk (VaR)
4.4 Algorithm Evaluation Metrics
Epilogue


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