Python Basics: With Illustrations From The Financial Markets (Version 1.0.2)

Автор: literator от 4-03-2023, 14:23, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Python Basics: With Illustrations From The Financial Markets (Version 1.0.2)Название: Python Basics: With Illustrations From The Financial Markets
Автор: Vivek Krishnamoorthy, Jay Parmar, Mario Pisa Pena
Издательство: QuantInsti Publication
Год: July 2021 (Version 1.0.2)
Страниц: 325
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Why was this written? This book grew out of the EPAT lectures that we have been conducting in Python for a number of years. These notes give us the freedom to marinate on some concepts a little longer and fill in on gaps that arise in the lecture format. We hope that our writing is compact and adequate for you, the reader, to obtain a greater understanding of the language and some of its essential libraries. We expect that for the interested reader, this book would be among the first of many books or blogs that you would read on Python.

Python is used by the novice programmer as well as by the highly skilled professional developer. It is being used in academia, at web companies, in large corporations and financial institutions. It is used for:
• Web and Internet development: Python is used on the server side to create web applications.
• Software development: Python is used to create GUI applications, connecting databases, etc.
• Scientific and Numeric applications: Python is used to handle big data and perform complex mathematics.
• Education: Python is a great language for teaching programming, both at the introductory level and in more advanced courses.
• Desktop GUIs: The Tk GUI library2 included with most binary distributions of Python is used extensively to build desktop applications.
• Business Applications: Python is also used to build ERP and ecommerce systems.

Who should read this?
We think it should be useful to anyone who wants a brief introduction to Python and the key components of its Data Science stack, and Python programmers who want a quick refresher on using Python for data analysis. We do not expect any of our readers to have a formal background in computer science, although some familiarity with programming would be nice to have. The concepts and ideas here are covered with several examples to help connect theory to practice.

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