5.00
(4 Ratings)

Python

Categories: AI
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About Course

In this project-based Python programming course, students will learn how to apply Python to real-world scenarios. The course will consist of six modules, each designed to build essential programming skills and knowledge while working towards a final project. Through hands-on activities, discussions, and engaging video lessons, learners of all types will gain practical experience in Python programming.

Module 1: Introduction to Python

Learning Objectives:

  • Understand the fundamentals of Python syntax and data types.
  • Write basic Python scripts.
  • Use Python’s built-in functions effectively.

Real World Example:

Exploring how Python is used in data analysis to uncover insights from large datasets.

Activities:

  1. Install Python and a code editor.
  2. Write a Python script to calculate and display basic arithmetic operations.
  3. Analyze a small dataset using Python libraries (e.g., Pandas).

Discussion Questions:

  1. How can Python benefit businesses in data analysis?
  2. What other industries rely on Python for data-related tasks?

Ways to Expand Learning:

  • Explore Python’s libraries for data visualization (e.g., Matplotlib).

Module 2: Control Flow and Functions

Learning Objectives:

  • Master conditional statements and loops in Python.
  • Define and use functions to modularize code.
  • Practice problem-solving through coding challenges.

Real World Example:

Understanding how Python is employed in automating repetitive tasks.

Activities:

  1. Create a Python program that simulates a basic game using loops and conditionals.
  2. Design and implement a function to calculate simple mathematical formulas.
  3. Solve coding challenges involving control flow and functions.

Discussion Questions:

  1. What are some real-world applications of automation using Python?
  2. How can functions make your code more organized and reusable?

Ways to Expand Learning:

  • Explore Python’s libraries for web scraping and automation (e.g., BeautifulSoup).

Module 3: Data Manipulation and Analysis

Learning Objectives:

  • Learn data manipulation techniques using Python.
  • Use external libraries for data analysis.
  • Work with CSV and JSON data.

Real World Example:

Applying Python to extract insights from social media data.

Activities:

  1. Analyze a dataset containing social media posts.
  2. Perform data cleaning and transformation using Python libraries.
  3. Create visualizations to present the findings.

Discussion Questions:

  1. How can Python assist in understanding user sentiment on social media?
  2. What challenges can arise when working with messy data?

Ways to Expand Learning:

  • Explore Python’s libraries for natural language processing (e.g., NLTK).

Module 4: Object-Oriented Programming

Learning Objectives:

  • Understand the principles of object-oriented programming (OOP).
  • Create classes and objects in Python.
  • Apply OOP concepts in practical scenarios.

Real World Example:

Using Python to model and simulate real-world systems.

Activities:

  1. Design a class hierarchy to represent real-world objects (e.g., vehicles).
  2. Implement methods to interact with objects in the hierarchy.
  3. Create a simulation of a simple system using OOP principles.

Discussion Questions:

  1. How can Python’s OOP capabilities be beneficial in software development?
  2. What are the advantages of modeling real-world systems using OOP?

Ways to Expand Learning:

  • Explore Python’s libraries for game development (e.g., Pygame).

Module 5: Web Development with Flask

Learning Objectives:

  • Learn the basics of web development using Flask.
  • Create a dynamic web application.
  • Understand the client-server architecture.

Real World Example:

Building a web-based inventory management system.

Activities:

  1. Set up a Flask application to display a dynamic web page.
  2. Implement routes and templates for different pages.
  3. Create a simple inventory management system using Flask.

Discussion Questions:

  1. How can Python be used to create web applications like e-commerce sites?
  2. What are the key components of a web application’s architecture?

Ways to Expand Learning:

  • Explore Python’s libraries for web frameworks (e.g., Django).

Module 6: Final Project – Real-World Application

Learning Objectives:

  • Apply all previously learned concepts and skills.
  • Work on a real-world Python project.
  • Present the project to peers.

Final Project Description:

Students will work on developing a personalized project of their choice using Python. The project should address a real-world problem or scenario and showcase their Python programming skills. Examples include creating a budgeting app, automating a data analysis task, or developing a simple game.

Project Components:

  1. Project Proposal: Define the problem statement and project goals.
  2. Project Development: Code implementation, testing, and documentation.
  3. Project Presentation: Share project details and insights with the class.

Discussion Questions:

  1. How did your project address a real-world problem or need?
  2. What were the most challenging aspects of completing your project?

Ways to Expand Learning:

  • Encourage students to explore additional Python libraries relevant to their projects.
  • Share project ideas and code with peers for feedback and collaboration.

By the end of this course, students will have gained practical experience in Python programming and will have a real-world project to showcase their skills. This course provides a solid foundation for those looking to use Python in various industries and applications.

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What Will You Learn?

  • Module 1: Introduction to Python
  • Module 2: Control Flow and Functions
  • Module 3: Data Manipulation and Analysis
  • Module 4: Object-Oriented Programming
  • Module 5: Web Development with Flask
  • Module 6: Final Project - Real-World Application

Student Ratings & Reviews

5.0
Total 4 Ratings
5
4 Ratings
4
0 Rating
3
0 Rating
2
0 Rating
1
0 Rating
IK
5 months ago
The course was excellent in terms of content. The modules were well-structured, and the quizzes after each section helped reinforce the concepts.
IT
5 months ago
The flexibility and accessibility of the materials made it easy for me to balance work and learning.
NY
5 months ago
The support from the course community and the instructor made a big difference in my learning journey.
RK
5 months ago
The support from the course community and the instructor made a big difference in my learning journey.