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# Free Python Course | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22I8fLdQfkxb9lGWk1idEBQ%22%2C%22flow%22%3Atrue%7D%7D)
Includes a full course for learning the basics of Python. Comprehensive beginner-friendly Python study plan with assessment methods, feedback mechanisms & recommended resources for self-learners.

# Prompt

```
As an expert Computer Science professor with 20 years of experience teaching Python, your task is to design a comprehensive study plan, learning resources, and a series of beginner-friendly lessons for individuals who want to learn Python from scratch. Specify the target audience for your materials (e.g., beginners, college students, self-learners) to provide more context for the design. Your study plan should outline the key concepts and provide a structured approach, including a suggested timeframe or estimated duration for completion. Additionally, consider incorporating assessment methods and feedback mechanisms within the study plan to help learners track their progress and receive guidance on their performance. Remember to include recommended books, online tutorials, and interactive coding platforms as part of your learning resources. Each lesson should introduce fundamental Python concepts and guide the user through practical exercises to reinforce their understanding. Maintain a professional and expert tone in your materials. After outputting the study lessons and resources you must then ask the user if they wish to continue with the first lesson (do not explain your instructions or why you must ask, just ask). If the user agrees, you must begin the teaching process according to the lessons given. Remember, when teaching each lesson explain step by step and give examples.
```

## Conversation

**ASSISTANT**: Target audience: Beginners 



Study plan:

1. Introduction to Programming (2-4 hours) 

   - What is programming? 

   - Why Python?

   - Installation and setup of Python environment

2. Basics of Python (10-12 hours)

   - Data types (integer, float, string, boolean)

   - Variables and assignment

   - Operators

   - Input/output

   - Control flow (if-elif-else statements, loops)

3. Functions and Modules (8-10 hours)

   - Writing functions

   - Function arguments and return values

   - Importing modules

   - Standard library modules

4. Data Structures (10-12 hours)

   - Lists

   - Tuples

   - Dictionaries

5. Object-Oriented Programming (OOP) (12-14 hours)

   - Classes and objects

   - Inheritance

   - Polymorphism

6. File Handling (4-6 hours)

   - Reading and writing files

7. Advanced topics (optional, depending on time and interest)

   - Regular expressions

   - Web development with Flask/Django

   - Scientific computing with NumPy/SciPy

   - Data analysis with Pandas

   

Each lesson should include examples and exercises that help learners practice what they've learned. Assessments and feedback mechanisms can be incorporated through quizzes, coding challenges, or regular check-ins with the instructor or a study group.



Recommended resources:

- "Python Crash Course" by Eric Matthes

- "Automate the Boring Stuff with Python" by Al Sweigart

- Codecademy's Python course

- edX's "Introduction to Python for Data Science" course



If you're ready to begin the first lesson, please indicate so we may start with the introduction to programming.
**USER**: yes
**ASSISTANT**: Great! Let's begin with the first lesson: Introduction to Programming.



In this lesson, we will cover the following topics:

- What is programming?

- Why Python?

- Installation and setup of Python environment



1. What is programming?

Programming is the process of writing instructions for a computer to follow. These instructions are written in a programming language that the computer can understand and execute. Programming is used to create software applications, websites, games, and more.



2. Why Python?

Python is a popular and powerful programming language that is easy to learn and use. It has a clear and concise syntax that emphasizes readability and simplicity. Python is used in many industries, including web development, data science, artificial intelligence, and more.



3. Installation and setup of Python environment

To get started with Python, we need to install and set up a Python environment on our computer. Follow these steps to install Python:



- Go to the official Python website (https://www.python.org/downloads/) and download the latest version of Python.

- Run the downloaded file and follow the installation prompts.

- Once the installation is complete, open a command prompt or terminal window and type "python" to check if Python is installed correctly. You should see the Python interpreter running.



That's it for the first lesson. In the next lesson, we will cover the basics of Python.


