Python

Welcome!

-----------------

Python is a high-level, easy-to-read programming language known for its simplicity and versatility. It allows users to write code quickly and clearly, making it a great choice for beginners and experienced developers alike. Python supports various programming styles, including procedural, object-oriented, and functional programming. It has a large library of pre-built modules, enabling users to perform tasks like web development, data analysis, artificial intelligence, and automation efficiently. Due to its active community and extensive resources, Python is widely used in education, business, and research.

Prerequisites

-------------------

To learn Python, you should have a basic understanding of programming concepts, such as variables, loops, and functions. Familiarity with using a computer and navigating files is essential. Knowledge of problem-solving skills will help you write code effectively. While Python is beginner-friendly, having some experience with other programming languages can be beneficial. Additionally, understanding basic mathematical concepts will aid in grasping more advanced programming topics as you progress.

Learning Objectives

---------------------------

The learning objectives of Python include understanding its syntax and core concepts, developing problem-solving skills through programming, mastering data manipulation and analysis, and applying object-oriented programming principles. Additionally, learners should gain experience in using libraries and frameworks for tasks like web development, automation, and data science.

Course Overview

Overview of Python: Advantages & Disadvantages
Features, Flavors, Scope, and Applications
Python Virtual Machine (PVM)
Installation and Path Setup
Python IDEs: Overview
Writing & Executing First Program in IDLE
Input/Output Operations
Tokens, Keywords, and Identifiers
Naming Rules for Identifiers
Variables: Multi-Assignment & Dynamic Typing
Literals, Punctuators, and Escape Sequences
Expressions, Statements, and Comments

Data Types: Definition and Classification
Type Casting and Mutable vs. Immutable Types
Operators: Types and Usage
Expressions & Statements: Evaluation
Operator Precedence and Associativity

Types of Statements in Python
Control Flow: Sequence, Blocks & Indentation
Conditional Statements: `if`, `if…else`, `elif`
Iteration: Loop Types (`for`, `while`) and `range()`
Loop Control: `break`, `continue`, `pass`, Nested Loops

Strings: Definition and Creation
Indexing, Traversing, and Slicing Strings
String Operators and Common Methods
Regular Expressions and Metacharacters

Lists: Definition and Creation
Indexing, Traversing, and Slicing Lists
List Operators and Common Methods
Nested Lists, List Comprehensions, and Cloning

Tuples: Definition, Creation, Packing, and Unpacking
Tuple Operators and Methods
Sets: Definition, Creation, Traversing, and Operations
Arrays: Definition, Creation, Indexing, and Slicing

Dictionaries: Structure and Creation
Accessing and Traversing Elements
Adding Values and Membership Testing
Common Methods and Key Properties
Ordered Dictionaries

Introduction to Functions: Purpose and Types
Defining, Calling, and Execution Flow
Parameters: Types and Scope
Returning Values and Recursive Functions
Modules and Libraries: Importing and Creating
Anonymous Functions (Lambdas) and Decorators

Introduction to OOP Principles
Creating Classes and Objects
Accessing Attributes and Methods, and the `self` Keyword
Constructors, Destructors, and Constructor Chaining
Getter and Setter Methods
Inheritance: Types and Constructor Behavior
Method Overriding and `super()`
Abstract Classes, Method Resolution Order (MRO)
Access Modifiers: Public, Private, Protected
Inner Classes, Composition, Aggregation, and Operator Overloading

Types of Errors and Exceptions
`try`, `except`, and `finally` Blocks
Assertions and Raising Exceptions
User-Defined Exceptions and Logging

Data Files: Purpose and Operations
File Handling: Opening, Closing, Reading, and Writing
Text and Binary Files: Operations and Methods
Using `pickle` and `csv` Modules for File Operations
Random Access and File Compression

Overview of Database Connectivity
Steps for Establishing Connections
Using `connect()` and `cursor` Classes
CRUD Operations with Databases
Using MySql and MongoDB with Python

Overview of Python: Advantages & Disadvantages
Features, Flavors, Scope, and Applications
Python Virtual Machine (PVM)
Installation and Path Setup
Python IDEs: Overview
Writing & Executing First Program in IDLE
Input/Output Operations
Tokens, Keywords, and Identifiers
Naming Rules for Identifiers
Variables: Multi-Assignment & Dynamic Typing
Literals, Punctuators, and Escape Sequences
Expressions, Statements, and Comments

Data Types: Definition and Classification
Type Casting and Mutable vs. Immutable Types
Operators: Types and Usage
Expressions & Statements: Evaluation
Operator Precedence and Associativity

Types of Statements in Python
Control Flow: Sequence, Blocks & Indentation
Conditional Statements: `if`, `if…else`, `elif`
Iteration: Loop Types (`for`, `while`) and `range()`
Loop Control: `break`, `continue`, `pass`, Nested Loops

Strings: Definition and Creation
Indexing, Traversing, and Slicing Strings
String Operators and Common Methods
Regular Expressions and Metacharacters

Lists: Definition and Creation
Indexing, Traversing, and Slicing Lists
List Operators and Common Methods
Nested Lists, List Comprehensions, and Cloning

Tuples: Definition, Creation, Packing, and Unpacking
Tuple Operators and Methods
Sets: Definition, Creation, Traversing, and Operations
Arrays: Definition, Creation, Indexing, and Slicing

Dictionaries: Structure and Creation
Accessing and Traversing Elements
Adding Values and Membership Testing
Common Methods and Key Properties
Ordered Dictionaries

Introduction to Functions: Purpose and Types
Defining, Calling, and Execution Flow
Parameters: Types and Scope
Returning Values and Recursive Functions
Modules and Libraries: Importing and Creating
Anonymous Functions (Lambdas) and Decorators

Introduction to OOP Principles
Creating Classes and Objects
Accessing Attributes and Methods, and the `self` Keyword
Constructors, Destructors, and Constructor Chaining
Getter and Setter Methods
Inheritance: Types and Constructor Behavior
Method Overriding and `super()`
Abstract Classes, Method Resolution Order (MRO)
Access Modifiers: Public, Private, Protected
Inner Classes, Composition, Aggregation, and Operator Overloading

Types of Errors and Exceptions
`try`, `except`, and `finally` Blocks
Assertions and Raising Exceptions
User-Defined Exceptions and Logging

Data Files: Purpose and Operations
File Handling: Opening, Closing, Reading, and Writing
Text and Binary Files: Operations and Methods
Using `pickle` and `csv` Modules for File Operations
Random Access and File Compression

Overview of Database Connectivity
Steps for Establishing Connections
Using `connect()` and `cursor` Classes
CRUD Operations with Databases
Using MySql and MongoDB with Python

Frequently Asked Questions (FAQs)

Anyone, even beginners with basic computer skills, can learn Python.

The course typically lasts 2 to 3 months.

Jobs are available in software, data science, and AI on platforms like LinkedIn and Indeed.

Companies like Google, Facebook, Netflix, and Dropbox use Python.

It's easy to learn, versatile, and used in many fields like web development and data science.

Python’s simple syntax and wide application make it great for both beginners and professionals.

Yes, frameworks like Django and Flask help build web applications.

Yes, Python can automate tasks like file management and data entry.

Yes, you can create simple games with libraries like Pygame.

Python has powerful libraries like NumPy and TensorFlow for data analysis and machine learning.

Python is used in web development, data science, automation, AI, and more.

Python is an interpreted language, running code line by line for easy testing and debugging.

© TeachMind G, All Right Reserved || Designed and Maintained by BTPL.

Enquiry