Python Made Simple

Name: Python Made Simple | Learn Python programming in easy steps with examples
Brand: De Gruyter
Price: 14.49 EUR
Availability: OnlineOnly

Learn Python programming in easy steps with examples

Rydhm Beri(Author)

De Gruyter (Publisher)

1st Edition

Published on 20. July 2019

366 pages

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978-93-89328-08-0 (ISBN)

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Description

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Content

Cover Page
Title Page
Copyright Page
Dedication
About the Author
Acknowledgements
Preface
Errata
Table of Contents
1. Introduction to Python
Introduction
Structure
Objective
Relation between programming languages
Low-level versus high-level language
General-purpose language versus domain-specific language
Compiled languages verses interpreted languages
Computational problem solving
Process of solving computational problems
Problem solving
Understanding the problem
Specification
Program design
Program coding and implementation
Program testing
Introduction to Python
Comparison of Python with other languages
History of the Python programming language
Development stages of Python
Features of Python
Execution of a Python program
Memory management in Python
Garbage collection in Python
Automatic garbage collection of cycles
Manual garbage collection
Debugging
2. Python Fundamentals
Introduction
Structure
Objective
Structure of a Python program
Tokens
Identifiers
Keywords
Literals
Numeric literals
Integer literals
Floating point literal
String literal
Boolean literal
Special literals
Objects immutability
Variables
Assigning values to the variable
Determining the data type of the variable
Data type in Python
Basic data types
int data type
Long integers
Boolean data type
Float data type
Complex data type
Sequence data type
Conclusion
Questions
3. Expressions and Operators
Introduction
Objective:
Statements
Simple statements
Control statements
Expressions
Operators
Arithmetic operators
Relational operators
Logical operators
Bitwise operators
Assignment operators
Unary operators
Membership operators
Identity operators
Operator precedence and associativity
Summary
Questions
4. Control Statements
Introduction
Objectives
Concept of indentation
Decision control statements
The if statement
The if.else statement
The if.elif statement
Nested if...else statements
Looping statements
The while loop
The for loop
The else suit in a looping statement
The nested loop
Jump statements
The break statement
The continue statement
The pass statement
The assert statement
Conclusion
Questions
5. Functions
Introduction
Structure
Objectives
Introduction to functions
Difference between functions and methods
Advantages
Classification of functions
Library functions
User-defined functions
Components of user-defined functions
Function definition
Function call
sum()
Categories of functions
Functions with no parameter and no return value
Functions with parameters and no return value
Functions with no parameters but returns value
Functions with parameters and returns value
Passing Arguments to a function
Positional arguments
Keyword parameters
Default arguments
Scope of a variable
Recursion
Anonymous or lambda functions
Lambda functions using the filter function
Lambda functions using the map function
Lambda functions using the reduce function
Conclusion
Questions
6. List Processing
Introduction
Objectives
Introduction to a list
Advantages of a list
Difference between a list and an array
Creating a list
Creation of a list by assigning values
Input a list from the user
The insert() function
The split() funtion
The append() method
The range() function
Accessing list elements
Accessing elements from the particular index
Accessing all elements of the list at once
Operations of List
Slicing the list
Repeating the list
Concatenation of the list
Iterating over the list
The for loop
The while loop
Functions of a list
min(list)
max(list)
The len() method
all(list)
any(list)
enumerate(list)
sorted(list)
Methods of list
index()
copy()
count()
remove()
pop()
sort()
reverse()
clear()
Finding the biggest and smallest element from the list
Sorting the list
Nesting of a list
Inputting nesting of a list
List as a matrix
The matrix operation
Matrix transposition
List comprehension
Summary
7. Tuple Processing
Objectives
Introduction to a tuple
Advantages of a tuple
Difference between a tuple and list
Creating a tuple
Creation of a tuple by assigning values
Input a tuple from a user
Input a tuple by list
The split() method
The range() function
Accessing tuple elements
Accessing elements from a particular index
Accessing all elements of the tuple at once
Accessing all elements of the tuple one by one by iterating
Tuple operations
Slicing the tuple
Repeating the tuple
Concatenation of a tuple
Checking the membership of the element
Tuple updation
Insert values in the tuple
Update values of the tuple
Delete values from the tuple
Iterating over a tuple
The for loop
The while loop
Function of a tuple
min(tuple)
max(tuple)
len(tuple)
all(tuple)
any(tuple)
sorted(list)
index()
count()
Nesting of tuple
Conclusion
Questions
8. Dictionary Processing
Objectives
Introduction to a dictionary
Advantages of the dictionary
Creating a dictionary
Creation of the dictionary by assigning values
Input a dictionary from a user
By assigning values to the keys entered by a user
The split() method
Input dictionary via lists and tuples
Accessing dictionary elements
Accessing value from a particular key
Accessing all elements of the dictionary at once
Dictionary operations
Checking the membership of the element
Dictionary updation
Iterating over the dictionary
The for loop
Functions of the dictionary
min(dictionary)
max(dictionary)
len(dictionary)
all(dictionary)
any(dictionary)
sorted(dictionary)
Methods of the dictionary
copy()
pop()
clear()
fromkeys()
items()
keys()
values()
update()
get()
Conclusion
Questions
9. String Processing
Introduction
Structure
Objectives
Introduction to strings
Creating a string
Creation of a string by assigning values
Input a string from the user
Accessing a string
Accessing characters from a particular index
Accessing a string as a group of characters
Accessing individual characters of the string by iterating over the string
String operations
Slicing the string
Repeating the string
Concatenation of strings
Checking the membership of the element
String methods
Comparison of a string
Remove spaces from strings
Finding a substring from a string
Counting a substring in a string
Replacing a string with another string
Split strings
Joining a string
Change case of a string
Convert a string to uppercase
Convert a string to lowercase
Swap case of the string
Title case of the string
Checking the starting and ending of a string
String testing methods
Formatting strings
Parameters of the format method
Positional replacement
Keyword replacement
Conclusion
Questions
10. File Processing
Introduction
Structure
Objectives
File processing
Types of files
A text file
A binary file
Opening of files
Closing a file
Writing data to the file
Reading data from the file
File built-in methods
tell()
seek()
rename()
remove()
Knowing if a file exists or not
Working with a binary file
Conclusion
Questions
11. Exception Handling
Structure
Objectives
Types of errors
Compile time error
Runtime error
Logical error
Introduction to exception
Types of exception
Exception handling
Structure of exception handling
The try block
The except block
The finally block
User-defined exception
Logging the exception
Conclusion
Questions
12. Object-oriented Programming (OOP)
Introduction
Structure
Objectives
Introduction to the OOPs approach
Evolution of the object-oriented approach
Basic concepts of OOPs
Objects
Class
Encapsulation and abstraction
Inheritance
Polymorphism
Advantages of OOPs
Class specification
Class header
Class body
Data members and member functions
Creation of objects
Role of a self variable
Constructors
Conclusion
Questions
13. Inheritance and Polymorphism
Introduction
Structure
Objectives
Implementing inheritance
Constructors in inheritance
Polymorphism
Operator overloading
Method overloading
Method overriding
Conclusion
Questions
14. Database Design in Python
Introduction
Structure
Objectives
Introduction to a database
Advantages of a database over a file system
Database model
Hierarchical model
Network model
Relational model
Introduction to SQL
Features of SQL
Statements of SQL
Data Definition Language (DDL)
Data Manipulation Language (DML)
Data Control Language (DCL)
Transactional Control Statement (TCL)
Types of databases used in Python
Introduction to the SQLite Manager
Features of the SQLite Manager
Database programming connecting the SQLite Manager
Creating a table
Inserting records in the tables
Update records in a table
Deleting records from the database
Getting records from the table
Conclusion
Questions
Index

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Python Made Simple

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