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of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial;
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The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it;
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Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key Features Use powerful Python;
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quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline;
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high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context;
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is fast making inroads into financial modelling and derivatives analytics, and recent developments allow Python to be as fast as pure C++ or C;
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ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading;
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, financial modeling, and trading, or simply want to learn how Python and pandas can be applied to finance, then this book is ideal for you. Some;
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This book provides both conceptual knowledge of quantitative finance and a hands-on approach to using Python. It begins with a description;
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Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from;
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If you're interested in learning to master the skills of Python, then this book is for you! With a friendly tone, limited use of jargon;
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A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;
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Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book;
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Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;
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science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid;
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This book provides readers with an in-depth discussion of circuit simulation, combining basic electrical engineering circuit theory with;
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With an interesting mix of theory and practicals, explore Python and its features, and progress from beginner to being skilled in this;
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Becoming adept at a computer language can be a challenge when you are first starting out, but with Python Programming you will find a;
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basics of building classes and creating objects, and put theory into practice using the pygame package with clear examples that help visualize;
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skills with Python Solve mathematical problems in calculus, and set theory and algebra with Python Work with various libraries in Python to;
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Are you looking to automate your trading strategy? Are you looking for a more efficient way of completing your financial analysis?;
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Are you looking to automate your trading strategy? Are you looking for a more efficient way of completing your financial analysis?;
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Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and;
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Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the;
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programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book;
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is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python;
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