File:Python Basics - With Illustrations from the Financial Markets.pdf

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Original file ‎(1,050 × 1,350 pixels, file size: 6.97 MB, MIME type: application/pdf, 332 pages)

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The book 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.

Summary

[edit]
Description
English: We think it should also 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.

Why was this written? 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. There is also a list of references towards the end of the book which

we trust you may find useful.
Date
Source Own work
Author QuantInsti Quantitative Learning Pvt. Ltd.

Licensing

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I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
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  • to share – to copy, distribute and transmit the work
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  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

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