Basics of Python Programming: A Quick Guide for Beginners is an essential companion to mastering the Python programming language. The book presents information about Python in 12 structured chapters with a strong emphasis on fundamentals and practical information. Starting with basic operators, functions and expressions, contents explain file handling, exception handling and modules. The book concludes with advanced topics such as object oriented programming and machine learning.
Practical Demonstrations: Learn by doing. This textbook includes hands-on practical demonstrations that reinforce your understanding of Python concepts.
IDE Guidance: Includes programming and installation guidance for Python-supporting Integrated Development Environments (IDEs).
Explores Python Frameworks: Introduces Python frameworks such as Matplotlib, TensorFlow, PyTorch, Scikit-Learn, and NLTK for complex projects.
Python for Machine Learning: Gives a preliminary understanding of Python for machine learning tasks for data science and AI applications.
Basics of Python Programming: A Quick Guide for Beginners is the perfect starting point for aspiring students, programmers and tech enthusiasts. Whether you're a student looking to build a solid foundation in Python or an industry professional venturing into machine learning and artificial intelligence, this textbook has you covered.
Key Features:
Fundamental Focus: Covers the core concepts of Python programming to build a strong foundation in python programming in an easy-to-understand format.Practical Demonstrations: Learn by doing. This textbook includes hands-on practical demonstrations that reinforce your understanding of Python concepts.
IDE Guidance: Includes programming and installation guidance for Python-supporting Integrated Development Environments (IDEs).
Explores Python Frameworks: Introduces Python frameworks such as Matplotlib, TensorFlow, PyTorch, Scikit-Learn, and NLTK for complex projects.
Python for Machine Learning: Gives a preliminary understanding of Python for machine learning tasks for data science and AI applications.
Basics of Python Programming: A Quick Guide for Beginners is the perfect starting point for aspiring students, programmers and tech enthusiasts. Whether you're a student looking to build a solid foundation in Python or an industry professional venturing into machine learning and artificial intelligence, this textbook has you covered.
Readership
Computer science, engineering and technology students; programming enthusiasts and professionals.Table of Contents
- Contents
- Foreword
- Preface
- Introduction
- Technical Strengths of Python
- Portability
- Object-Oriented
- Community Support
- Advanced Features
- Memory Management
- Ease of Use
- Installing Python
- Windows Installer
- Ubuntu
- Linux Mint
- Python Idle
- Anaconda Open-Source Distribution
- Installing Anaconda on Windows
- Installing Anaconda on Linux
- First Python Program
- Python Keywords
- Identifiers
- Statements
- Indentation
- Comments
- Coding Styles
- Functional
- Imperative
- Procedural
- Object-Oriented
- Concluding Remarks
- Introduction
- Number
- Sequence
- Dictionary
- Boolean
- Set
- Type Conversion
- Implicit Type Conversion
- Explicit Type Conversion
- Operators
- Arithmetic Operators
- Addition (+) Operator
- Subtraction (-) Operator
- Multiplication (*) Operator
- Division (/) Operator
- Modulus (%) Operator
- Exponent (**) Operator
- Floor Division (//) Operator
- Relational Operators
- Greater Than (>) Operator
- Greater Than or Equal to (>=) Operator
- Less Than (<) Operator
- Less Than or Equal to (<=) Operator
- Equal to (==) Operator
- Not Equal to (! =) Operator
- Assignment Operator
- Assignment (=) Operator
- Add and (+=) Operator
- Subtract and (-=) Operator
- Multiply and (*=) Operator
- Divide and (/=) Operator
- Modulus and (%=) Operator
- Exponent and (**=) Operator
- Floor Division (//=) Operator
- Unary Operators
- Bitwise Operators
- Binary and (&) Operator
- Binary or (|) Operator
- Binary Xor (^) Operator
- Binary One's Complement (~) Operator
- Binary Left Shift (<<) Operator
- Binary Right Shift (>>) Operator
- Logical Operators
- Logical and Operator
- Logical or Operator
- Logical Not Operator
- Membership Operators
- Operator (In)
- Operator (Not)
- Identity Operators
- Operator (Is)
- Operator (Is Not)
- Operators' Precedence and Associativity
- Expressions
- Identifiers
- Literals
- Operators
- String Operations
- Accessing Values in Strings
- Triple Quotes
- Concluding Remarks
- Introduction
- Sequential Statements
- Decision Control Structures
- If Statements
- If-Else Statements
- Nested If
- If-Elif-Else
- Looping Statements
- For Loop
- While Loop
- Nested Loop
- Break Statement
- Continue Statement
- The Pass Statement
- Concluding Remarks
- Introduction
- Definition
- Predefined Functions
- User-Defined Functions
- Function Call
- Function Parameters and Arguments
- Default Arguments
- Variable Scope and Lifetime
- Scope of the Variable
- Local Scope
- Global Scope
- The Lifetime of the Variable
- Local and Global Variables
- Global Variables
- Global Statement
- Return Statement
- Lambda Functions
- Recursive Functions
- Function Redefinition
- Concluding Remarks
- Introduction
- String
- String Concatenation
- Using + Operator
- Using Join() Method
- Using % Operator
- Using Format() Function
- Appending Strings
- Using += Operator
- Using Join()
- Multiplying Strings
- Immutable Strings
- String Formatting Operator
- Built-In String Functions
- Slice Operation
- The Ord() Function
- The Chr() Function
- String Comparison
- Using Relational Operators
- Using is and is Not
- Using User-Defined Function
- Iterating String
- Split() Function
- Re.Findall() Function
- The String Module
- String Module Constants
- String.Ascii_Letters
- String.Ascii_Lowercase
- String.Ascii_Uppercase
- String.Digits
- String.Hexdigits
- String.Punctuation
- String Capwords() Function
- String Module Classes
- Formatter
- Template
- Regular Expression
- Lists
- Using List Index
- List Operations
- Updating Values in Lists
- Nested List
- Aliasing
- Cloning Lists
- Cloning List Using Slicing
- Cloning List Using Extend()
- Cloning List Using List()
- Cloning List Using List Comprehension
- Cloning List Using Append()
- Cloning List Using Copy()
- Built-In Functions
- List Built-In List Methods
- List as Arrays
- Loops in Lists
- For Loop in the List
- While Looping in the List
- List Comprehension
- Enumerate() Method
- Numpy in Loop
- List in Functions
- Concluding Remarks
- Introduction
- Tuple
- Thetuple ()Function
- Accessing Tuple
- Tuple Indexes
Author
- Krishna Kumar Mohbey
- Malika Acharya
