Categories: Python

Take the full course to become a Python developer, or pick any of the projects to master specific areas of Python.

 

Python Syllabus for Paath Shiksha

 

Module 1: Python Basics

  1. Introduction to Python

    • What is Python?

    • Features of Python

    • Python Installation and Setup

    • Writing and Executing Python Scripts

  2. Basic Syntax and Operations

    • Python IDEs (IDLE, PyCharm, Jupyter Notebook)

    • Python Code Structure

    • Input and Output Operations

    • Comments and Docstrings

  3. Data Types and Variables

    • Numbers, Strings, Booleans

    • Type Conversion

    • Variable Naming Rules

    • Constants

  4. Operators

    • Arithmetic Operators

    • Logical Operators

    • Relational Operators

    • Assignment and Membership Operators

Module 2: Control Flow and Functions

  1. Control Flow

    • If-Else Statements

    • Loops: For, While

    • Break, Continue, and Pass Statements

  2. Functions

    • Function Definition and Calling

    • Arguments and Return Values

    • Default Arguments and Keyword Arguments

    • Lambda Functions

    • Recursion

Module 3: Data Structures in Python

  1. Lists

    • Creating and Accessing Lists

    • List Operations and Methods

    • List Comprehensions

  2. Tuples

    • Creating Tuples

    • Tuple Operations

    • Packing and Unpacking Tuples

  3. Dictionaries

    • Creating and Accessing Dictionaries

    • Dictionary Methods

    • Dictionary Comprehensions

  4. Sets

    • Creating and Manipulating Sets

    • Set Operations

Module 4: Object-Oriented Programming (OOP)

  1. Classes and Objects

    • Defining Classes

    • Creating Objects

    • Attributes and Methods

  2. Inheritance

    • Single and Multiple Inheritance

    • Method Overriding

    • Super() Function

  3. Encapsulation and Polymorphism

    • Private and Public Attributes

    • Method Overloading

Module 5: Advanced Python Concepts

  1. File Handling

    • Reading and Writing Files

    • File Operations

    • Working with CSV and JSON Files

  2. Modules and Packages

    • Importing Modules

    • Creating and Using Packages

    • Built-in Libraries

  3. Error and Exception Handling

    • Try, Except, Finally Blocks

    • Raising Exceptions

    • Custom Exceptions

Module 6: Python Libraries and Frameworks

  1. NumPy

    • Arrays and Operations

    • Indexing and Slicing

    • Mathematical Functions

  2. Pandas

    • DataFrames and Series

    • Reading and Writing Data

    • Data Cleaning and Manipulation

  3. Matplotlib and Seaborn

    • Creating Plots and Graphs

    • Data Visualization Techniques

Module 7: Python for Web Development

  1. Flask Basics

    • Setting up Flask

    • Routes and Templates

  2. Django Basics

    • Overview of Django Framework

    • MVC Architecture

Module 8: Python for Automation and Scripting

  1. Working with OS Module

    • File and Directory Management

  2. Automating Tasks

    • Sending Emails

    • Web Scraping using BeautifulSoup

    • Working with APIs

Module 9: Python for Data Science

  1. Introduction to Data Science

    • Data Science Workflow

    • Python’s Role in Data Science

  2. Data Analysis Projects

    • Hands-on Data Analysis

    • Exploratory Data Analysis (EDA)

Module 10: Capstone Project

  1. Project Selection

    • Real-world Python Application

  2. Implementation

    • Develop and Test

    • Presentation and Feedback

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