Python for Beginners

Course Overview

This beginner-level Python programming curriculum is designed to provide participants with a solid foundation in Python programming. The course covers essential concepts, practical exercises, and interactive projects to ensure hands-on learning.

1. Introduction to Python Programming

  • Overview of Python
  • History and Features
  • Python’s Role in Various Domains (Web, Data Science, Automation, etc.)
  • Setting Up the Environment
  • Installing Python and IDEs (PyCharm, VS Code, Jupyter Notebook)
  • Introduction to the Python Interpreter

 

2. Basic Syntax and Operations

  • Writing and Running Python Code
  • Understanding Variables and Data Types
  • Arithmetic, Relational, and Logical Operators
  • Input and Output in Python

3. Control Flow Statements

  • Conditional Statements
  • if, elif, else
  • Looping Constructs
  • for and while Loops
  • break, continue, and pass Statements

 

4. Data Structures in Python

  • Introduction to Data Structures
  • Lists, Tuples, Sets, and Dictionaries
  • Common Operations and Methods
  • Adding, Removing, and Modifying Elements
  • Iteration and Comprehensions

 

5. Functions and Modules

  • Writing Functions
  • Defining and Calling Functions
  • Function Arguments (Positional, Keyword, Default, and Arbitrary)
  • Return Statements
  • Modules and Packages
  • Importing Built-in Modules (math, random, etc.)
  • Creating Custom Modules

 

 

6. File Handling

  • Working with Files
  • Reading and Writing Text Files
  • Working with CSV Files
  • File Handling Exceptions
  • Handling FileNotFoundError and Other Common Errors

 

7. Error and Exception Handling

  • Types of Errors in Python
  • Syntax Errors vs Runtime Errors
  • Exception Handling
  • try, except, finally Blocks
  • Raising Custom Exceptions

  

8. Introduction to Object-Oriented Programming (OOP)

  • Understanding OOP Concepts
  • Classes, Objects, and Methods
  • Key Principles
  • Encapsulation, Inheritance, and Polymorphism
  • Writing Simple Classes and Objects

 

9. Working with Libraries

  • Overview of Popular Python Libraries
  • numpy for Numerical Computing
  • pandas for Data Manipulation
  • matplotlib for Basic Plotting
  • Installing and Using Libraries with pip

 

10. Interactive Projects for Practice

  • Mini-Projects for Hands-On Learning
  • Building a Simple Calculator
  • Creating a To-Do List Application
  • Writing a Basic Quiz Application
  • Final Project
  • Developing a Small Command-Line Application Integrating All Concepts

 

 

Course Duration and Delivery

  • Duration: 6 Weeks (Part-Time) / 3 Weeks (Full-Time)
  • Mode: Online/Onsite with Instructor-Led Sessions and Practice Assignments
  • Prerequisites: None

Outcomes

  • By the end of this course, participants will:
  • Gain a foundational understanding of Python programming.
  • Be able to write basic Python programs and scripts.
  • Understand and apply core programming concepts to solve problems.
  • Build interactive projects to showcase their skills.

Certificate of Completion

Participants who successfully complete the course and projects will receive a certificate of completion, highlighting their newly acquired Python skills.

Empowering Minds to Shape the Future with Python

Harness the power of Python to drive innovation, develop smart solutions, and create the future of technology through hands-on learning and advanced programming skills.

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