book

Python Programming by Pearson

Name: Python Programming by Pearson
ISBN: 9789357053303

by S.Sridhar, J. Indumathi, V.M. Hariharan

December 2023

Intermediate to advanced

794 pages

16h 31m

English

Pearson India

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Cover
About Pearson
Title Page
Dedication
Contents
Preface
About the Authors
Chapter 1: Introduction to Programming
1.1 Basics of Programming Language1.2 Programming Versus Software1.3 Python Programming Language1.4 Compiler Versus Interpreter1.5 Integrated Development Environment (IDE)1.5.1 Python in interactive mode (windows OS)1.5.2 Python in script mode1.5.3 Command Line Interpreter1.6 Various Resources for Python Programming
Chapter 2: Problem Solving and Algorithms
2.1 Problem-solving and Computational Skills2.2 Computational Thinking2.3 Software Development Cycle2.4 Algorithm Design Strategies2.5 Algorithm Design2.6 Flow Charts2.7 Example Algorithms2.7.1 Algorithm for Subtraction of Two Numbers2.7.2 Algorithm for Finding the Area of a Circle2.7.3 Algorithm for Finding the Largest Among Three Numbers2.7.4 Factorial of a Number2.7.5 Euclid Algorithm2.7.6 Linear Search2.7.7 Insertion Sort2.8 Analysis of Algorithms2.9 Efficiency of the Algorithms
Chapter 3: Introduction to Python
3.1 What is a Program?3.2 Elements of Python Language3.3 Python Block Structure3.3.1 Importance of Indentation3.3.2 Comments in Python3.4 Variables and Assignment Statement3.5 Python Objects3.6 Data Types in Python3.6.1 Basic Data Types in Python3.6.2 Collection Data Types3.7 Operations3.7.1 Arithmetic Operators and Expressions3.7.2 Compound Assignment Operators3.7.3 Boolean Operations3.7.4 Relational Operators and Boolean Expressions3.7.5 Bitwise Operators3.7.6 Identity and Membership Operators3.8 Type Conversions3.9 Simple input/output Statements3.9.1 Reading Numbers from the Keyboard3.9.2 print() Statement3.10 Formatting Using Print Statement3.10.1 Built-in Methods3.10.2 String Interpolation (old Style Formatting)3.10.3 String Formatting3.10.4 Formatted String Literals (F-string or f-string)3.11 Built-in Functions

Chapter 4: Decision Structures
4.1 Need for Decision Structures4.2 Forming Conditions4.3 if-statement4.4 The if-else Statement4.4.1 Inline-if-Statement4.5 if-elif Statement4.6 Nested-If Conditions
Chapter 5: Looping Statements
5.1 Introduction to Looping5.2 Python Built-in Functions for Looping5.3 Loop Statements5.3.1 while Loop5.3.2 for Loop5.3.3 Nested Loops5.4 Jump Statements5.4.1 break Statement5.4.2 continue Statement5.4.3 pass Statement
Chapter 6: Introduction to Functions
6.1 Introduction to Functions6.2 Types of Functions6.3 Anatomy of a User-defined Function6.4 Types of Functions Based on Parameters6.4.1 Non-Parameterised Function6.4.2 Parameterised Functions6.5 Void Functions and Fruitful (Value Returning) Functions6.5.1 Void Function6.5.2 Fruitful Functions6.6 Types of Function Arguments6.6.1 Functions with No Arguments6.6.2 Functions with Positional Arguments6.6.3 Keyword Arguments6.6.4 Default Arguments6.6.5 Variable Length Arguments6.6.6 Variable Keyword-Based Arguments6.6.7 Python Anonymous Functions6.7 Passing of Objects Reference6.8 Namespaces, Global Variables, and Scope
Chapter 7: Lists
7.1 Introduction to Iterable Object7.2 List7.2.1 Creating a List7.2.2 Indexing in a LIST7.2.3 List Slicing7.3 Operations in the List7.4 Built-in Functions and Methods in List7.5 Nested List7.6 Mutability of List7.7 Looping with List7.8 List as a Stack7.9 List as Queue
Chapter 8: Tuples
8.1 Introduction to Tuples8.2 Creating a Tuple8.3 Indexing and Slicing in a Tuple8.4 Operations in Tuples8.5 Immutability in Tuples8.6 Built-in Function and Tuples8.7 Built-in Methods in Tuples8.8 Nested Tuples8.9 Selection8.10 Looping with Tuples
Chapter 9: Sets and Dictionary
9.1 Introduction to Sets9.2 Creating a Set9.3 Basic Operation in Sets9.4 Mathematical Operations of Sets9.5 Looping Operations in Sets9.6 Frozen Sets9.7 Introduction to Dictionary9.8 Creating Dictionaries9.9 Basic Dictionary Operations9.10 Operations on Python Dictionary9.11 Nested Dictionary9.12 Looping Over a Dictionary
Chapter 10: Strings
10.1 Introduction to Strings10.2 Creating a String10.3 Operations in Strings10.4 Built-in Methods for Strings10.5 Built-in Functions for Strings10.6 Looping with Strings10.7 Regular Expressions
Chapter 11: Advanced Functions
11.1 Introduction to Functional Programming11.2 Functions as Objects11.3 Lambda Functions11.4 List Comprehensions11.5 List Comprehension with Sequence Processing11.5.1 Map Function11.5.2 Filter Function11.5.3 reduce Function11.6 Iterators11.7 Generators11.7.1 Generator Expressions11.7.2 Itertools, Special Iterators, and Generators11.8 Recursion11.9 Closed Functions and Function Annotators or Decorators
Chapter 12: Object-Oriented Programming (OOP)
12.1 Introduction to Object Oriented Programming (OOP)12.2 Classes and Objects12.3 Class Attributes12.4 Methods in Class12.4.1 Private Methods12.4.2 Constructor12.4.3 Destructor12.5 Built-ins12.5.1 Built-in Methods in Class12.5.2 Built-in Attributes in Objects
Chapter 13: Inheritance
13.1 Introduction13.2 Single Inheritance13.3 Multiple Inheritance13.4 Multi-Level Inheritance13.5 Hybrid Inheritance
Chapter 14: Advanced Class
14.1 Overloading14.1.1 Method Overloading14.1.2 Operator Overloading14.2 Method Overriding14.3 class Method and static Method14.4 Abstract Base Class (ABC)14.5 Meta Class
Chapter 15: Modules in Python
15.1 Introduction to Modules and Packages in Python15.2 Creation of a Module15.3 Importing Modules15.4 Uses of Standard Modules in Python15.4.1 Math and Sympy Packages15.4.2 os Module15.4.3 sys Module15.4.4 py_compile15.5 Packages
Chapter 16: Errors and Exceptions
16.1 Introduction to Errors and Exceptions16.2 Handling Exceptions16.3 Multiple Exceptions16.4 Raising Exceptions16.5 Exception Chaining16.6 Built-In Exceptions16.7 User-Defined Exceptions16.8 Clean-Up Actions
Chapter 17: Debugging and Testing
17.1 Introduction to Python Debugger17.1.1 Python Debugger (pdb)17.1.2 pdb through Primitive GUI Mode in IDLE17.2 Testing in Python17.2.1 Doctest17.2.2 Unittest17.2.3 Pytest17.3 Introduction to Profiling17.3.1 Python timeit()17.3.2 cProfile
Chapter 18: File Handling
18.1 Introduction to Files18.2 Types of Files18.3 Input and Output Operations18.4 File Handling Operations in Text Files18.5 File Handling Operations in Binary Files18.5.1 Pickle18.6 File Handling Operations in Excel Files18.7 Python Context Manager
Chapter 19: Introduction to Graphical User Interface
19.1 Introduction19.2 Tkinter Module19.2.1 Display Text with Label Widgets19.2.2 Button Widgets19.2.3 Frame Widget19.2.4 Input Text Box19.2.5 Grid
Chapter 20: Introduction to Data Analytics with Python
20.1 Introduction to Data Analysis20.2 Dataset and Data Analysis20.3 Arrays in Python20.3.1 Importing and Creating an Array20.3.2 Array Operations20.4 Introduction to NumPy20.4.1 Array Creation in NumPy20.4.2 NumPy Properties20.4.3 Indexing and Slicing Operations20.4.4 Arithmetic Operations on NumPy20.4.5 Data Analysis Using NumPy20.5 Pandas20.5.1 Series in Pandas20.5.2 CRUD Operations with Pandas20.5.3 Series Indexing20.5.4 Series Statistical Methods20.5.5 Data Frames with Pandas20.5.6 Indexing in Data Frames20.5.7 Data Manipulation in Data Frames20.5.8 Data Analysis Using Pandas20.6 Data Visualization Using Pandas and Matplotlib20.7 Scikit-Learn and Data Analysis
Bibliography
Index
Copyright

Content preview from Python Programming by Pearson

“The goal is to turn data into information, and information into insight.”

– Carly Fiorina, former CEO, Hewlett-Packard Co.

CHAPTER 20 Introduction to Data Analytics with Python

Data analytics is one of the most emerging areas in computer science. Python has become one of the most used languages in data analytics now. This chapter introduces the basics of data analytics.

Learning Objectives

By the end of the chapter, the reader would be able to:

Know the basics of data analytics.
Understand the basics of array processing.
Know about Numpy.
Basics of Pandas.
Acquire knowledge about Data visualization with matplotlib.
Basics of scikit-Learn.
Understand regression basics and its implementation.

20.1 Introduction to Data Analysis

Business ...

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Advanced Python Programming - Second Edition

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ISBN: 9789357053303

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Python Programming by Pearson

by S.Sridhar, J. Indumathi, V.M. Hariharan

CHAPTER 20