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Basic Python for Data Management, Finance, and Marketing: Advance Your Career by Learning the Most Powerful Analytical Tool
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
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.
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
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.
332 pages, Paperback
Published September 7, 2021
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August 3, 2023
I generally find the best way to learn coding is online via web sites or Youtube channels but I thought I'd read this since I'm working on a finance project. What I found most interesting to read was Chapter 6: Essential Financial Tasks Done with Python as it referenced a package called NumPy Financial which I didn't know existed. After doing a google search, I read that it's been depreciated as they were looking to make NumPy Financial its own repository. There was some documentation outlining the pros/cons of this package so that was interesting to read. I think the version referenced in the book is post-depreciation. Examples of what NumPy Financial can compute are financial objects such as the number of period payments or the rate of interest per period.
Given my stats background, I found it interesting that the author included 12 lines of code to run a Monte Carlo simulation in this chapter as well.
Given my stats background, I found it interesting that the author included 12 lines of code to run a Monte Carlo simulation in this chapter as well.
Displaying 1 of 1 review