Автор: QuantInsti
Издательство: QuantInsti
Год: 2019
Страниц: 332
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
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.
This 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.
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.
The material presented here is a condensed introduction to Python and its data science related libraries such as NumPy, Pandas, and Matplotlib. The illustrative examples we use are associated with the financial markets. We like to think we have done a satisfactory job of meeting the goals we set out to achieve.
It is not expected of the 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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