Introduction to Python for Science.pdf

发布时间：2022-06-15 发布人：admin 分类：说明书资料大小：2.33M 资料格式：pdf 举报版权申诉

c72c99d4-d2b2-490d-bbc2-043f3c6bb816.pdf-第1页.png

第1页 / 共204页

c72c99d4-d2b2-490d-bbc2-043f3c6bb816.pdf-第2页.png

第2页 / 共204页

c72c99d4-d2b2-490d-bbc2-043f3c6bb816.pdf-第3页.png

第3页 / 共204页

c72c99d4-d2b2-490d-bbc2-043f3c6bb816.pdf-第4页.png

第4页 / 共204页

c72c99d4-d2b2-490d-bbc2-043f3c6bb816.pdf-第5页.png

第5页 / 共204页

c72c99d4-d2b2-490d-bbc2-043f3c6bb816.pdf-第6页.png

第6页 / 共204页

c72c99d4-d2b2-490d-bbc2-043f3c6bb816.pdf-第7页.png

第7页 / 共204页

c72c99d4-d2b2-490d-bbc2-043f3c6bb816.pdf-第8页.png

第8页 / 共204页

Introduction

Introduction to Python and its use in science

Launching Python

Installing Python on your computer

The Canopy window

The Interactive Python Pane

Interactive Python as a calculator

Python Modules

Python functions: a first look

Variables

Script files and programs

Importing Modules

Getting help: documentation in IPython

Programming is a detail-oriented activity

Exercises

Strings, Lists, Arrays, and Dictionaries

Strings

Lists

NumPy arrays

Dictionaries

Random numbers

Exercises

Input and Output

Keyboard input

Screen output

File input

File output

Exercises

Plotting

An interactive session with pyplot

Basic plotting

Logarithmic plots

More advanced graphical output

Exercises

Conditionals and Loops

Conditionals

Loops

List Comprehensions

Exercises

Functions

User-defined functions

Methods and attributes

Example: linear least squares fitting

Exercises

Curve Fitting

Using linear regression for fitting non-linear functions

Nonlinear fitting

Exercises

Numerical Routines: SciPy and NumPy

Special functions

Linear algebra

Solving non-linear equations

Solving ODEs

Discrete (fast) Fourier transforms

Exercises

Installing Python

Testing your installation of Python

IPython Notebooks

An interactive interface

Installing and launching an IPython notebook

Using an IPython Notebook

Running programs in an IPython Notebook

Annotating an IPython Notebook

Editing and rerunning a notebook

Quitting an IPython notebook

Working with an existing IPython notebook

Python Resources

Web resources

Books

Index

Introduction to Python for Science Release 0.9.23 David Pine December 19, 2013

CONTENTS 1 Introduction 1.1 Introduction to Python and its use in science . . . . . . . . . . . . . . . 2 Launching Python . . . . . Installing Python on your computer . . The Canopy window . . . The Interactive Python Pane . . Interactive Python as a calculator Python Modules . Python functions: a ﬁrst look . . . . . . . . . . . . . . . . . . . . . . . . 2.1 . . . . . . . . . . . . . . . . . . . . . 2.2 . . . . . . . . . . . . . . . . . . . . . 2.3 . . . . . . . . . . . . . . . . . . . . . 2.4 . . . . . . . . . . . . . . . . . . . . . 2.5 . . . . . . . . . . . . . . . . . . . . . 2.6 . . . . . . . . . . . . . . . . . . . . . 2.7 Variables . . . . . . . . . . . . . . . . . . . . . . 2.8 2.9 . . . . . . . . . . . . . . . . . . . . . 2.10 Getting help: documentation in IPython . . . . . . . . . . . . . . . . . . 2.11 Programming is a detail-oriented activity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.12 Exercises . . Script ﬁles and programs . Importing Modules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Strings Lists 3 Strings, Lists, Arrays, and Dictionaries . . . . . . 3.1 . 3.2 . 3.3 NumPy arrays 3.4 Dictionaries . 3.5 3.6 . . . . Random numbers . Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Input and Output 4.1 Keyboard input . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3 5 5 5 6 11 14 15 17 20 24 25 26 27 29 30 31 35 46 48 52 55 55 i

4.2 4.3 4.4 4.5 Screen output . . File input . . File output Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Plotting Basic plotting . . Logarithmic plots . 5.1 An interactive session with pyplot . . . . . . 5.2 5.3 . 5.4 More advanced graphical output . . 5.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 62 66 70 73 74 75 89 91 96 6 Conditionals and Loops . . . Conditionals Loops . . . List Comprehensions . Exercises . . 6.1 6.2 6.3 6.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 99 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 . . . . . . . . . . . . . . . . . . . . . 110 . . . . . . . . . . . . . . . . . . . . . 112 7 Functions 115 . . . . . . . . . . . . . . . . . . . . . 115 . . . . . . . . . . . . . . . . . . . . . 129 Example: linear least squares ﬁtting . . . . . . . . . . . . . . . . . . . . 130 Exercises . . . . . . . . . . . . . . . . . . . . . . 136 7.1 User-deﬁned functions . 7.2 Methods and attributes . 7.3 7.4 . . . . . . . . . . . . . . . . . . . . . . 8 Curve Fitting 141 8.1 Using linear regression for ﬁtting non-linear functions . . . . . . . . . . 141 8.2 Nonlinear ﬁtting . . . . . . . . . . . . . . . . . . . . . . 146 . . . . . . . . . . . . . . . . . . . . . 153 . 8.3 Exercises . . . . . . . . . . . . . . . . . . . . 9 Numerical Routines: SciPy and NumPy . . . . 157 . . . . . . . . . . . . . . . . . . . . . 158 9.1 . . . . . . . . . . . . . . . . . . . . . 161 9.2 . . . . . . . . . . . . . . . . . . . . . 165 9.3 9.4 . . . . . . . . . . . . . . . . . . . . . 170 9.5 Discrete (fast) Fourier transforms . . . . . . . . . . . . . . . . . . . . . 173 . . . . . . . . . . . . . . . . . . . . . 178 9.6 . Special functions . Linear algebra . . . Solving non-linear equations . Solving ODEs . Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A Installing Python Installing Python . A.1 A.2 Testing your installation of Python . . . . . . . . . 179 . . . . . . . . . . . . . . . . . . . . . 179 . . . . . . . . . . . . . . . . . . . . 180 B IPython Notebooks B.1 An interactive interface . . . . . . 183 . . . . . . . . . . . . . . . . . . . . . 183 ii

Installing and launching an IPython notebook . . . . . . . . . . . . . . . 183 B.2 B.3 Using an IPython Notebook . . . . . . . . . . . . . . . . . . . . . . 185 B.4 Running programs in an IPython Notebook . . . . . . . . . . . . . . . . 187 B.5 Annotating an IPython Notebook . . . . . . . . . . . . . . . . . . . . . 187 B.6 Editing and rerunning a notebook . . . . . . . . . . . . . . . . . . . . . 190 B.7 Quitting an IPython notebook . . . . . . . . . . . . . . . . . . . . . 191 B.8 Working with an existing IPython notebook . . . . . . . . . . . . . . . . 191 . . . . C Python Resources C.1 Web resources . C.2 Books . . . . . . . . . . . . . . . . . . . . . . . . 193 . . . . . . . . . . . . . . . . . . . . . 193 . . . . . . . . . . . . . . . . . . . . . 195 Index 197 iii

Introduction to Python for Science, Release 0.9.23 Contents: CONTENTS 1

Introduction to Python for Science, Release 0.9.23 2 CONTENTS

分享到：

赞收藏

资料库

Introduction to Python for Science.pdf

相关推荐

后端

热门标签

最新资料