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Advance Python Tutorials

Meher Krishna Patel

Created on : Octorber, 2017

Last updated : July, 2019

Table of contentsi

1 Python review1

1.1 Introduction

1.2 Download and Installation

1.3 Basics

1.3.1 Run code from Python shell (>>>)

1.3.2 Running Python Files

1.3.3 Variables

1.3.4 Built-in object types

1.3.5 Numbers

1.3.6 String

1.3.7 List

1.3.8 Tuple

1.3.9 Dictionary

1.4 Number conversion

1.4.1 Direct conversion

1.4.2 zfill

1.5 Control structure

1.5.1 if-else

1.5.2 While loop

1.5.3 For loop

1.6 Function

1.7 Numpy, Scipy and Matplotlib

1.7.1 Arrays

1.8 Good practices

1.8.1 Avoid range command

1.8.2 Enumerate

1.8.3 Loop in sorted order

1.8.4 Loop over keys

1.8.5 Loop over keys and values

1.8.6 Create dictionaries from lists

1.8.7 Looping and modifying the list simultaneously

1.8.8 Check items in the list

1.8.9 Unpacking

1.8.10 Update variables

1.9 Object oriented programming

1.9.1 Class and object

1.9.2 Create class and object

1.9.3 Inheritance

1.9.4 Polymorphism

1.9.5 Abstract class and method

1.9.6 Public and private attribute

27 i

1.9.7 Class Attribute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

1.9.8 Special methods

1.10 Conclusion

2 Virtual environment, Package and Distribution

2.1 Anadconda virtual environment

2.1.1 Installation

2.1.2 Creating virtual environment

2.1.3 Other commands

2.2 Virtual environment using virtualenv and virtualenvw

2.2.1 Install virtualenv and virtualenvwrapper

2.2.2 Modify .bashrc

2.2.3 Create virtualenv

2.3 Packages

2.3.1 Location of installed packages

2.3.2 Create files

2.3.3 Packages

2.3.4 Globally available package

2.3.5 init file

2.3.6 all in init file

2.4 Distribute the package

2.5 Conclusion

3 Debugging46

3.1 Introdution

3.2 First code

3.3 Reading input from command line

3.4 Debugging

3.4.1 Run script and go to Python shell

3.4.2 Python debugger (pdb)

3.5 Underscore operator (_)

3.6 Conclusion

4 Print statement50

4.1 Introduction

4.2 Expansion calculation

4.3 Print the expansion

4.4 Formatted output

4.5 Saving results in file

4.6 Alter the printing sequence

4.7 Conclusion

5 CSV module56

5.1 Introduction

5.2 Basic file operations

5.2.1 Open and close the files

5.2.2 with - open statement

5.3 Strings operations

5.4 Perform calculations

5.5 Problem with current method

5.6 CSV module

5.6.1 csv.reader

5.6.2 csv.DictReader

5.7 Conclusion

6 Functions64

6.1 docstring

6.2 types of docstring

6.3 Convert previous code into function

6.3.1 Conversion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

6.3.2 Debugging

6.4 glob module

6.4.1 Price calculation on files using 'glob"

7 Data types and objects67

7.1 Introduction

7.2 Identity and type

7.2.1 'is" operator

7.2.2 Comparing objects

7.2.3 isinstance

7.3 Reference count and garbage collection

7.3.1 getrefcount

7.3.2 Garbage collection

7.3.3 Shallow and deep copy

7.4 First class object

7.5 Builtin types for representing data

7.5.1 None

7.5.2 Numbers

7.5.3 Sequences

7.5.4 List

7.5.5 Strings

7.5.6 Mapping types

7.5.7 Set types

7.6 Builtin types for representing program structure

7.6.1 Callable types

7.6.2 Class, types and instances

7.6.3 Modules

7.7 Special methods

7.7.1 Object creation and destruction

7.7.2 String representation

7.7.3 Type checking

7.7.4 Attribute access

7.7.5 Descriptors

7.7.6 Sequence and mapping methods

7.7.7 Iteration

7.7.8 Callable interface

7.7.9 Context management protocol

7.7.10 Object inspection and dir()

8 Exception handling91

8.1 Introduction

8.2 try-except block

8.3 Report error

8.3.1 Type of error

8.3.2 Location of error

8.4 Catch all error (bad practice)

8.5 Silencing error

8.6 List of Exception in Python

8.7 Conclusion

9 Data mining99

9.1 Building data structure from file

9.1.1 Save and read data in list

9.1.2 Save and read data in Dictionary

101

9.2 List comprehension

102

9.2.1 Basic method for extraction

102

9.2.2 List comprehension for extraction

103

9.2.3 Lambda operator

103

9.2.4 Basis method for sorting. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103

9.2.5 Lambda operator

104

9.3 Find and arrange Gold rings

105

9.4 Conclusion

106

10 Object oriented programming

107

10.1 Pythonic style

1 07

10.2 Simple data structure to Classes

107

10.2.1 Instance variable

107

10.2.2 Object of class

1 08

10.2.3 Class variable and initialization

108

10.3 Shipping product and Agile methodology

110

10.4 Attribute access

111

10.4.1 get, set and del

111

10.4.2 getattr, setattr and delattr

112

10.5 Users

112

10.5.1 Average area

112

10.5.2 Table formatting

113

10.6 Requirement : perimeter method

115

10.7 No data hiding in Python

116

10.8 Inheritance overview

118

10.9 New user : making boxes

119

10.10Rewrite table formatter using Inheritance

120

10.10.1Abstract class

120

10.10.2csv format

123

10.11Advance inheritance

126

10.11.1Printing outputs to files

126

10.11.2Mixin : multiple inheritance

130

10.11.3Put quotes around data

130

10.11.4Put quotes using Mixin

131

10.12Conclusion

135

11 Methods and @property136

11.1 Introduction

136

11.2 Methods, staticmethod and classmethod

136

11.3 Research organization

137

11.3.1 Multiple constructor using 'classmethod"

137

11.3.2 Additional methods using 'staticmethod"

139

11.4 Micro-managing

140

11.4.1 Wrong Solution

141

11.4.2 Correct solution

143

11.5 Private attributes are not for privatizing the attributes

144

11.5.1 Same local copy in child and parent class

145

11.5.2 Use '__perimeter" instead of '_perimeter" to solve the problem

145

11.6 @property

148

11.6.1 Managing attributes

148

11.6.2 Calling method as attribute

150

11.6.3 Requirement from research organization

151

12 Decorator and Descriptors154

12.1 Decorators

154

12.1.1 Function inside the function and Decorator

154

12.1.2 Decorator without arguments

156

12.1.3 Decorators with arguments

157

12.1.4 DRY decorator with arguments

159

12.1.5 Decorators inside the class

160

12.1.6 Conclusion

161

12.2 Descriptors

161

12.2.1 Problems with @property

161

12.2.2 Data Descriptors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163

12.2.3 non-data descriptor

165

12.2.4 getattribute breaks the descriptor usage

165

12.2.5 Use more than one instance for testing

166

12.2.6 Examples

166

12.2.7 Conclusion

168

13 More examples169

13.1 Generalized attribute validation

169

13.1.1 Function

169

13.1.2 Decorators

171
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[PDF] Advance Python Tutorials 10.11Advance inheritance . We will

Advance Python Tutorials

Meher Krishna Patel

Created on : Octorber, 2017

Last updated : July, 2019

More documents are freely available atPythonDSP

Table of contents

Table of contentsi

1 Python review1

1.1 Introduction

1.2 Download and Installation

1.3 Basics

1.3.1 Run code from Python shell (>>>)

1.3.2 Running Python Files

1.3.3 Variables

1.3.4 Built-in object types

1.3.5 Numbers

1.3.6 String

1.3.7 List

1.3.8 Tuple

1.3.9 Dictionary

1.4 Number conversion

1.4.1 Direct conversion

1.4.2 zfill

1.5 Control structure

1.5.1 if-else

1.5.2 While loop

1.5.3 For loop

1.6 Function

1.7 Numpy, Scipy and Matplotlib

1.7.1 Arrays

1.8 Good practices

1.8.1 Avoid range command

1.8.2 Enumerate

1.8.3 Loop in sorted order

1.8.4 Loop over keys

1.8.5 Loop over keys and values

1.8.6 Create dictionaries from lists

1.8.7 Looping and modifying the list simultaneously

1.8.8 Check items in the list

1.8.9 Unpacking

1.8.10 Update variables

1.9 Object oriented programming

1.9.1 Class and object

1.9.2 Create class and object

1.9.3 Inheritance

1.9.4 Polymorphism

1.9.5 Abstract class and method

1.9.6 Public and private attribute

1.9.7 Class Attribute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

1.9.8 Special methods

1.10 Conclusion

2 Virtual environment, Package and Distribution

2.1 Anadconda virtual environment

2.1.1 Installation

2.1.2 Creating virtual environment

2.1.3 Other commands

2.2 Virtual environment using virtualenv and virtualenvw

2.2.1 Install virtualenv and virtualenvwrapper

2.2.2 Modify .bashrc

2.2.3 Create virtualenv

2.3 Packages

2.3.1 Location of installed packages

2.3.2 Create files

2.3.3 Packages

2.3.4 Globally available package

2.3.5 __init__ file

2.3.6 __all__ in __init__ file

2.4 Distribute the package

2.5 Conclusion

3 Debugging46

3.1 Introdution

3.2 First code

3.3 Reading input from command line

3.4 Debugging

3.4.1 Run script and go to Python shell

3.4.2 Python debugger (pdb)

3.5 Underscore operator (_)

3.6 Conclusion

4 Print statement50

2.3.5 init file

2.3.6 all in init file