Basic Python In Finance
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Basic Python In Finance
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Author : Bob Mather
language : en
Publisher: Bob Mather
Release Date : 2019-10-30
Basic Python In Finance written by Bob Mather and has been published by Bob Mather this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-30 with Business & Economics categories.
Are you looking to automate your trading strategy? Are you looking for a more efficient way of completing your financial analysis? Python is the answer. While looking to gain summarize our knowledge on the subject, we realized that there was a lot of information available in books and the internet. However, there seemed to be too much information. There were 500-page textbooks on the subject that had very little practical use. They were pretty useless for beginners just like a dictionary is useless for anyone trying to learn a language. All these books had tons of theory with no step-by-step guide. There were a whole bunch of other blogs that had basic programming information with no relation to financial strategies. With this in mind, this book starts you off with a step-by-step guide to install Python on your computer; and plot/visualize relevant financial data. Later in the book, you can build on your basic knowledge to learn more about advanced financial analysis and trading strategies to move forward. This book is what you've been looking for.
Financial Data Analysis Using Python
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Author : Dmytro Zherlitsyn
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-05-20
Financial Data Analysis Using Python written by Dmytro Zherlitsyn and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
This book will introduce essential concepts in financial analysis methods & models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples. This book will also help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data. FEATURES • Illustrates financial data analysis using Python data science libraries & techniques • Uses Python visualization tools to justify investment and trading strategies • Covers asset pricing & portfolio management methods with Python
Basic Python For Data Management Finance And Marketing
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Author : Art Yudin
language : en
Publisher: Apress
Release Date : 2021-09-07
Basic Python For Data Management Finance And Marketing written by Art Yudin and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-07 with Computers categories.
Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. Basic Python for Data Management, Finance, and Marketing highlights how this language has become a useful skill with digital marketers, allowing them to analyze data more precisely and run more successful campaigns. What You'll Learn Get started with Python from square one Extend what's possible on excel with Python Automate tasks with Python Analyze data more precisely Who This Book Is For Professionals who want to find a job in the modern world or advance their careers within field of Python programming language.
Introduction To Python
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Author : Lilan Li
language : en
Publisher: Lan LI
Release Date : 2021-07-27
Introduction To Python written by Lilan Li and has been published by Lan LI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Computers categories.
It is a book for both beginners and experienced professionals who either have a relevant educational background or are interested in learning Python under the data science or quantitative finance background. No prior experience in Python is required. It is a practical book complete with working code that guides the reader through the basics of Python. Topics are introduced gradually, each building on the last. The examples are either run in a command line or an editor. Jupyter notebook examples are presented in later part of the book where mathematical models and data analysis of time series are introduced. BY THE END OF THIS BOOK, YOU WILL BE ABLE TO : •gain a general understanding of Python •write basic Python code •write Python function to perform efficient data analysis and simple financial model analysis for those who have prior knowledge of programming ( you could skip the first chapter) WHO IS THIS BOOK FOR This book is directed at both industry practitioners and students interested in learning python for financial modelling or/and data science purpose. It helps to advance your career either within the finance modelling arena or the Data science field! You will also find this book useful if you want to extend the your existing programming language knowledge in another application field.
Introduction To Python Data Science Quantitative Finance 2 0
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Author : Lilan Li
language : en
Publisher:
Release Date : 2021-11-08
Introduction To Python Data Science Quantitative Finance 2 0 written by Lilan Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-08 with categories.
It is a book for both beginners and experienced professionals who either have a relevant educational background or are interested in learning Python under the data science or quantitative finance background. No prior experience in Python is required. It is a practical book complete with working code that guides the reader through the basics of Python. Topics are introduced gradually, each building on the last. The examples are either run in a command line or an editor. Jupyter notebook examples are presented in later part of the book where mathematical models and data analysis of time series are introduced. BY THE END OF THIS BOOK, YOU WILL BE ABLE TO : *gain a general understanding of Python *write basic Python code *write Python function to perform efficient data analysis and simple financial model analysis WHO IS THIS BOOK FOR This book is directed at both industry practitioners and students interested in learning python for financial modelling or/and data science purpose. It helps to advance your career either within the finance modelling arena or the Data science field! You will also find this book useful if you want to extend the your existing programming language knowledge in another application field. TABLE OF CONTENT 1 Introduction1.1Basic of programming language 1.2 What is Python? 1.3 Python Development Environment 1.4 Basic data types in Python 1.5 Looping and Condition 1.6 Python functions2Python Packages 2.1 Mathematics - NumPy 2.2 Data Analysis - Pandas 2.3 Visual Plot - Matplotlib 3 Advanced Python Examples 3.1 Mathematical modelling 3.2 Visual graphic examples 3.3 Model Parameter Analysis 3.4 Object Oriented Programming (OOP)
Data Analysis From Scratch With Python Bundle
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Author : Bob Mather
language : en
Publisher:
Release Date : 2020-07-04
Data Analysis From Scratch With Python Bundle written by Bob Mather and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-04 with Computers categories.
Python For Finance
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Author : Yves J. Hilpisch
language : en
Publisher: O'Reilly Media
Release Date : 2018-12-05
Python For Finance written by Yves J. Hilpisch and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-05 with Computers categories.
The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Python For Finance
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Author : Yuxing Yan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-04-25
Python For Finance written by Yuxing Yan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-25 with Computers categories.
A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
The Future Of Finance With Chatgpt And Power Bi
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Author : James Bryant
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29
The Future Of Finance With Chatgpt And Power Bi written by James Bryant and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Computers categories.
Enhance decision-making, transform your market approach, and find investment opportunities by exploring AI, finance, and data visualization with ChatGPT's analytics and Power BI's visuals Key Features Automate Power BI with ChatGPT for quick and competitive financial insights, giving you a strategic edge Make better data-driven decisions with practical examples of financial analysis and reporting Learn the step-by-step integration of ChatGPT, financial analysis, and Power BI for real-world success Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving economic landscape, the combination of finance, analytics, and artificial intelligence (AI) heralds a new era of decision-making. Finance and data analytics along with AI can no longer be seen as separate disciplines and professionals have to be comfortable in both in order to be successful. This book combines finance concepts, visualizations through Power BI and the application of AI and ChatGPT to provide a more holistic perspective. After a brief introduction to finance and Power BI, you will begin with Tesla's data-driven financial tactics before moving to John Deere's AgTech strides, all through the lens of AI. Salesforce's adaptation to the AI revolution offers profound insights, while Moderna's navigation through the biotech frontier during the pandemic showcases the agility of AI-focused companies. Learn from Silicon Valley Bank's demise, and prepare for CrowdStrike's defensive maneuvers against cyber threats. With each chapter, you'll gain mastery over new investing ideas, Power BI tools, and integrate ChatGPT into your workflows. This book is an indispensable ally for anyone looking to thrive in the financial sector. By the end of this book, you'll be able to transform your approach to investing and trading by blending AI-driven analysis, data visualization, and real-world applications.What you will learn Dominate investing, trading, and reporting with ChatGPT's game-changing insights Master Power BI for dynamic financial visuals, custom dashboards, and impactful charts Apply AI and ChatGPT for advanced finance analysis and natural language processing (NLP) in news analysis Tap into ChatGPT for powerful market sentiment analysis to seize investment opportunities Unleash your financial analysis potential with data modeling, source connections, and Power BI integration Understand the importance of data security and adopt best practices for using ChatGPT and Power BI Who this book is for This book is for students, academics, data analysts, and AI enthusiasts eager to leverage ChatGPT for financial analysis and forecasting. It's also suitable for investors, traders, financial pros, business owners, and entrepreneurs interested in analyzing financial data using Power BI. To get started with this book, understanding the fundamentals of finance, investment, trading, and data analysis, along with proficiency in tools like Power BI and Microsoft Excel, is necessary. While prior knowledge of AI and ChatGPT is beneficial, it is not a prerequisite.
Mastering Python For Finance
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Author : James Ma Weiming
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-04-29
Mastering Python For Finance written by James Ma Weiming and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-29 with Computers categories.
If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.