book

Python Programming : A Modern Approach

Name: Python Programming : A Modern Approach
Author: Vamsi Kurama
ISBN: 9789352862061

by Vamsi Kurama

January 2017

Intermediate to advanced

272 pages

9h 52m

English

Pearson Education India

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Cover
About Pearson
Title
Copyright
Contents (1/2)
Contents (2/2)
Preface
Chapter 0 Introducing Python
0.1 About Python0.2 History – Origins of Python
0.3 Features of Python – Why Choose Python?
0.3.1 Simple0.3.2 Easy to Learn0.3.3 Free and Open Source0.3.4 High-level Language0.3.5 Portable0.3.6 Interpreted
0.3.7 Object Oriented
0.3.8 Extensible0.3.9 Embeddable0.3.10 Extensive Libraries

0.4 Who Uses Python?
0.5 What Can I Do with Python?
0.5.1 Systems Programming
0.5.2 GUIs0.5.3 Internet Scripting
0.5.4 Component Integration
0.5.5 Database Programming
0.5.6 Rapid Prototyping
0.5.7 Numeric and Scientific Programming
0.6 Installing
0.6.1 Installation0.7 Python 2 and Python 3 Installation on Windows0.7.1 DOS Prompt0.7.2 For Windows Vista
0.7.3 For Windows 7 and 8
0.7.4 Running Python Prompt on Windows0.8 Installation on Mac OS X0.9 Installation on Gnu/linux
0.10 The First Program
0.10.1 Command Line Mode/Interactive Mode
0.10.2 Script Mode
0.10.3 When to Use?
Chapter 1 Variables, Types, Operations and Operators
1.1 Variables
1.2 Logical and Physical Line
1.2.1 Indentation
1.2.2 Summary
1.3 Typed Language1.3.1 Statically Typed Language1.3.2 Dynamically Typed Language1.3.3 Strongly Typed Language1.3.4 Weakly Typed Language
1.3.5 Variable Names and Keywords
1.3.6 Keywords
1.4 Types
1.4.1 Literals1.5 Numbers – int, float, complex1.5.1 IDLE Basics
1.6 Text – String
1.6.1 Representation of String Values
1.6.2 Making Strings
1.6.3 Object
1.7 Length of the String
1.8 String Slicing
1.8.1 Methods
1.8.2 Finding Truths
1.8.3 Find and Count
1.8.4 Join and Combine
1.8.5 Case and Alignment
1.9 Truth – Boolean
1.10 Comments
1.11 Operators
1.11.1 Operators in Python
1.11.2 Arithmetic
1.12 Relational Operators
1.12.1 Logical Operators
1.13 Bitwise Operators
1.13.1 Operator Evaluation
1.13.2 Keyboard Input
1.13.3 Type Conversion
Chapter 2 Data Structures
2.1 Lists
2.1.1 Syntactically
2.1.2 Accessing the Element from the List
2.1.3 Slicing a List
2.2 Copy
2.2.1 I am in ! – The Membership
2.2.2 Lists are Mutable Sequences
2.2.3 Deleting Items in a List and Deleting List
2.2.4 Methods
2.2.5 Searching
2.3 Tuples
2.3.1 So You Might be Thinking What Tuples are Good for?
2.4 Dictionary
2.4.1 Creating a Dictionary
2.4.2 Dictionary Operations
2.4.3 Dictionary Methods
2.4.4 Aliasing and Copying
2.5 Sets
2.5.1 Modifying a Set
2.5.2 Removing Items from the Set
2.5.3 Set Operations
2.5.4 Set’s Membership
2.6 Conclusion2.6.1 The None Type
Chapter 3 Control Flow
3.1 Alternative Execution
3.2 Chained Conditionals
3.3 Nested Conditionals
3.4 For
3.5 For Tuple
3.5.1 For Dictionary
3.6 The Range() Function
3.7 While
3.7.1 The General Format of a While Loop
3.8 The Guessing Game
3.8.1 Infinite Loop – Your Server
3.9 Control Transfer Statements
3.9.1 Continue
3.9.2 Break
3.10 List Comprehensions
3.11 Pass Statement – Placeholder
Chapter 4 Functions
4.1 Positional Arguments
4.2 Keyword Arguments
4.3 Specify Default Parameter Values
4.3.1 Gather the Positional Arguments with*
4.3.2 Gather Keyword Arguments with**
4.4 Functions Returning Values – Fruitful Functions
4.5 Recursion
4.5.1 Function Illustrating Fibonacci
4.6 Scope of a Variable
4.6.1 The Global Statement
4.6.2 Docstrings
4.6.3 Uses of _ and __ in Names
4.6.4 Anonymous Functions: The Lambda() Function
Chapter 5 A Gentle Introduction to Object Oriented Programming
5.1 The Problem5.2 The Solution
5.3 In Summary
5.3.1 Classes, Objects, Instances5.3.2 The Python Way
5.4 Python Classes
5.4.1 Creating Python Classes
5.5 Methods
5.5.1 Making It Do Something
5.5.2 The Self
5.6 Constructors
5.6.1 Initializing the Object
5.6.2 Explaining Yourself
5.7 Class Variables and Instance Variables
5.7.1 The Brewing
5.7.2 The BankAccount
5.7.3 The Virtual Machine
5.7.4 A Washing Machine
Chapter 6 Inheritance
6.1 Basic Inheritance
6.1.1 Overriding and Super
6.1.2 Get Help from Your Parent with Super
6.1.3 Multiple Inheritance
6.1.4 Polymorphism and Duck Typing
6.2 Special Methods
6.2.1 Book Club
6.2.2 Reverse Adding
6.2.3 Adding
6.2.4 Comparative Literature
6.2.5 Multipath Inheritance
6.3 Data Hiding – The Private Variables
6.4 Iterators
6.5 The Iteration Protocol
6.6 Generators
6.6.1 When to Use Classes and Objects Versus Modules
Chapter 7 Exceptions
7.1 Expect the Unexpected – Exceptions
7.1.1 Syntax Errors
7.1.2 Exceptions
7.1.3 Handling Exceptions
7.1.4 Writing Your Own Exceptions
7.1.5 Raising Exceptions
7.2 Exceptions aren’t Exceptional
7.3 Exceptions Defining Clean-up Actions
7.4 Predefined Clean-up Actions
Chapter 8 Modules, Packages and Distribution
8.1 Packages Small Description about Modularity
8.2 Sound – A Package
8.3 Third Party Packages
8.4 A Brief Tour of Standard Library
8.4.1 Operating System Interface
8.4.2 File Wildcards
8.5 Command Line Arguments8.6 Error Output Redirection and Program Termination
8.7 String Pattern Matching
8.8 Mathematics
8.9 Internet Access
8.10 Dates and Times
8.11 Data Compression
8.12 Performance Measurement
8.13 Quality Control
Chapter 9 GUI Programming with Tkinter
9.1 Introducing Tkinter9.2 What’s Tkinter?
9.3 Hello, Tkinter
9.3.1 Our First Tkinter Program
9.4 Hello, Again
9.5 Buttons
9.5.1 Lambda Trick
9.5.2 Global Variables
9.6 Tic-tac-toe
9.6.1 Correcting the Problems
Chapter 10 Turtle Graphics
10.1 Turtle Graphics
10.1.1 Move and Draw
10.1.2 Turtle Operations
10.1.3 Turtle Object
10.1.4 Simple Graphics
10.2 The Vagrant
10.3 The Beautiful Patterns
10.4 Drawing with Colors
Chapter 11 Regular Expression
11.1 Introduction
11.1.1 Basic Patterns
11.1.2 Basic Examples
11.1.3 Repetition11.1.4 Leftmost and Largest
11.2 Repetition Examples
11.2.1 Emails_finder.py
11.3 Square Brackets
11.3.1 Findall
11.3.2 Substitution
Chapter 12 Input and Output
12.1 Working with Files
12.2 The Print() Function
Chapter 13 Databases
13.1 How to Use a Database
13.2 Introducing SQL
13.2.1 What Can SQL do?13.2.2 Definition Database Table
13.3 SQL Queries
13.4 Select Clause13.4.1 Select Syntax13.5 Select with Where Clause
13.6 Select with Order by Clause
13.7 Insert into Statement13.8 Update Statement
13.9 Delete from Statement
13.10 Working With a Database
13.11 Python and SQLite
13.12 Creating an SQLite DB
13.13 Pulling the Data from the DB–Select
13.14 Using Where
13.15 Update and Delete
13.16 SQLite Database Files
Chapter 14 Testing
14.1 Unit Testing14.1.1 Tests and Testability14.1.2 Unit Testing
14.1.3 How Many Tests Should You Have?
14.1.4 Commonly Used Methods
14.1.5 Test Driven Development (TDD)
14.1.6 How TDD Improves the Quality of Your Code
14.1.7 How TDD Improves Your Programming Experience
Chapter 15 Python Tutorial Introduction and Scientific Python
15.1 Python
15.1.1 Python Versions
15.1.2 Basic Data Types
15.1.3 Containers
15.1.4 Slicing
15.1.5 List Comprehensions
15.1.6 Functions
15.1.7 Classes
15.1.8 Numpy
15.1.9 Integer Array Indexing
15.1.10 Datatypes
15.1.11 Array Math
15.1.12 Broadcasting
15.2 Numpy Documentation
15.2.1 SciPy
15.3 Image Operations
15.3.1 MATLAB Files
15.3.2 Distance Between Points15.3.3 Matplotlib
15.3.4 Plotting
15.3.5 Subplots
15.3.6 Images
Index (1/2)
Index (2/2)

Content preview from Python Programming : A Modern Approach

Modules, Packages and Distribution 8.5

8. NumPy: How can we leave this very important library? It provides some

advance math functionalities to python.

9. SciPy: When we talk about NumPy then we have to talk about SciPy. It is a

library of algorithms and mathematical tools for python and has caused many

scientists to switch from ruby to python.

10. Matplotlib: It is a numerical plotting library. It is very useful for any data

scientist or any data analyzer.

1. Jinja2: A small but fast and easy to use stand-alone template engine written

in pure python.

2. Simplejson: Simplejson is a simple, fast, extensible JSON encoder/decoder

for Python. ...

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Python Programming : A Modern Approach

by Vamsi Kurama

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