Python

Course Overview

This course provides a comprehensive introduction to Python, one of the most popular and versatile programming languages. Whether you are a beginner or have some programming experience, this course will help you develop the skills necessary to write efficient, readable, and powerful Python code.

Course Duration

• Class Schedule: 2-3 hours per session, multiple sessions per week

Course Objectives

• Understand the basics of Python programming.

• Develop problem-solving skills using Python.

• Learn to write clean, maintainable, and efficient code.

• Get familiar with Python libraries and frameworks.

Course Content

Module 1: Introduction to Python

• History and Features of Python

• Installing Python and Setting Up the Environment

• Writing and Running Your First Python Program

• Understanding the Python Interpreter and IDEs

Module 2: Basic Python Syntax

• Variables and Data Types

• Basic Operators

• Control Flow (if statements, loops)

• Functions and Modules

Module 3: Data Structures

• Lists, Tuples, and Sets

• Dictionaries

• List Comprehensions

• Working with Strings

Module 4: Advanced Python Concepts

• File Handling

• Error and Exception Handling

• Working with Dates and Times

• Regular Expressions

Module 5: Object-Oriented Programming

• Classes and Objects

• Inheritance

• Polymorphism

• Encapsulation

Module 6: Python Libraries and Frameworks

• Introduction to Libraries (e.g., NumPy, Pandas, Matplotlib)

• Introduction to Frameworks (e.g., Flask, Django)

• Web Scraping with Beautiful Soup and Scrapy

Module 7: Data Analysis and Visualization

• Working with NumPy and Pandas for Data Analysis

• Data Visualization using Matplotlib and Seaborn

Module 8: Project Work

• Real-world projects to apply the learned skills

• Project planning and implementation

• Presentation and code review

Learning Outcomes

By the end of the course, students will be able to:

• Write Python programs to solve various computational problems.

• Develop applications using Python libraries and frameworks.

• Analyze and visualize data using Python.

• Understand and apply object-oriented programming principles.

Prerequisites

• Basic understanding of computer operations

• No prior programming experience required

Certification

Upon successful completion of the course, students will receive a certificate of completion.

Additional Resources

• Course materials and code samples

• Access to online Python communities and forums

• Recommended reading and practice exercises

This course is suitable for anyone looking to start a career in software development, data analysis, web development, or anyone interested in learning Python for personal or professional use.