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Python for Finance, 2nd Edition
book

Python for Finance, 2nd Edition

by Yves Hilpisch
December 2018
Beginner
720 pages
15h 32m
English
O'Reilly Media, Inc.
Content preview from Python for Finance, 2nd Edition

Chapter 3. Data Types and Structures

Bad programmers worry about the code. Good programmers worry about data structures and their relationships.

Linus Torvalds

This chapter introduces the basic data types and data structures of Python, and is organized as follows:

“Basic Data Types”

The first section introduces basic data types such as int, float, bool, and str.

“Basic Data Structures”

The second section introduces the fundamental data structures of Python (e.g., list objects) and illustrates, among other things, control structures, functional programming approaches, and anonymous functions.

The aim of this chapter is to provide a general introduction to Python specifics when it comes to data types and structures. The reader equipped with a background from another programing language, say C or Matlab, should be able to easily grasp the differences that Python usage might bring along. The topics and idioms introduced here are important and fundamental for the chapters to come.

The chapter covers the following data types and structures:

Object type Meaning Used for

int

Integer value

Natural numbers

float

Floating-point number

Real numbers

bool

Boolean value

Something true or false

str

String object

Character, word, text

tuple

Immutable container

Fixed set of objects, record

list

Mutable container

Changing set of objects

dict

Mutable container

Key-value store

set

Mutable container

Collection of unique objects

Basic Data Types

Python is a dynamically ...

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Publisher Resources

ISBN: 9781492024323Errata Page