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INPUT

Develop a study plan for [specific subject or skill], including learning resources, schedule, and key milestones.

With specifics

Develop a study plan for learning Python programming, including learning resources, schedule, and key milestones.

OUTPUT

Study Plan for Learning Python Programming

Week 1-2: Introduction to Python

• Learning Resources:
  • Online Course: “Python for Everybody” by Dr. Charles Severance (Coursera)
  • Book: “Automate the Boring Stuff with Python” by Al Sweigart
• Schedule:
  • Daily: 1 hour of course video lectures
  • Weekend: 2 hours of hands-on practice using exercises from the book
• Key Milestones:
  • Complete first two modules of the online course
  • Write simple Python scripts to automate basic tasks

Week 3-4: Data Structures and Algorithms

• Learning Resources:
  • Online Course: “Python Data Structures” by University of Michigan (Coursera)
  • Book: “Python Crash Course” by Eric Matthes
• Schedule:
  • Daily: 1 hour of course video lectures
  • Weekend: 2 hours of practice with coding challenges
• Key Milestones:
  • Understand and implement lists, dictionaries, and sets
  • Solve basic algorithm problems

Week 5-6: Object-Oriented Programming

• Learning Resources:
  • Online Course: “Object-Oriented Programming in Python” by Codecademy
  • Book: “Fluent Python” by Luciano Ramalho
• Schedule:
  • Daily: 1 hour of course video lectures
  • Weekend: 2 hours of project-based learning
• Key Milestones:
  • Create classes and objects in Python
  • Build a small project using OOP principles

Week 7-8: Web Development with Python

• Learning Resources:
  • Online Course: “Python and Django Full Stack Web Developer Bootcamp” by Udemy
  • Documentation: Django official documentation
• Schedule:
  • Daily: 1 hour of course video lectures
  • Weekend: 2 hours of building a web application
• Key Milestones:
  • Understand the basics of Django framework
  • Develop a simple web application

Week 9-10: Data Analysis and Visualization

• Learning Resources:
  • Online Course: “Data Analysis with Python” by IBM (Coursera)
  • Book: “Python for Data Analysis” by Wes McKinney
• Schedule:
  • Daily: 1 hour of course video lectures
  • Weekend: 2 hours of hands-on data analysis projects
• Key Milestones:
  • Analyze datasets using Pandas
  • Visualize data using Matplotlib and Seaborn

Week 11-12: Capstone Project

• Learning Resources:
  • Personal interest project or choose from suggested projects online
• Schedule:
  • Daily: 1 hour of project work
  • Weekend: 4 hours of project work
• Key Milestones:
  • Plan and design the project
  • Implement and test the project
  • Present the final project

This study plan provides a structured approach to learning Python programming, with a focus on consistent practice and progressive milestones to ensure comprehensive understanding and skill development. Adjust the schedule based on your personal pace and availability.