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Personalized Subject Mastery Roadmap

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1. This prompt guides the creation of a personalized online learning journey tailored for dedicated learners in any specified subject and skill level (beginner, intermediate, or advanced). 2. It generates: -A well-structured Learning Blueprint with modules, topics, and subtopics. -Recommended Courses with durations, and platform information. -Suggested online forums & communities for engagement. -Guidance on seeking career opportunities 3. Very easy to use Please don't forget to like and follow!
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After purchasing, you will gain access to the prompt file which you can use with GPT or the app builder. You'll receive 20 free generation credits with this purchase. By purchasing this prompt, you agree to our terms of service.
9 months ago

Prompt Details

Model
Chat - GPT-3.5 (gpt-3.5-turbo)
Token size
396 ($0.00060 / call)
Example input
Replace editable parts from the given Prompt: 1. '[Targeted audience]' with Inputs like: 'budding programmers', 'aspiring data scientists', 'aspiring entrepreneurs', 'young photographers' etc. 2. '[Specified subject]' with Inputs like: 'Python programming from scratch', 'Machine Learning', 'Business Strategy', 'Digital Photography' etc. 3. [One of the Skill Levels from Beginner, Intermediate or Advance Level] with Inputs like: Beginner, Intermediate or Advance Level 4. [Chosen Schedule from Daily, Weekly or Monthly] with Inputs like: Daily, Weekly or Monthly
Example output
Personalized Educational Pathway - Python Programming from Scratch Introduction: Welcome to your personalized educational journey designed to help you become a proficient Python programmer from scratch. Whether you're a complete beginner or have dabbled a bit, this pathway will provide you with a structured and tailored learning experience. Skill-Level: Beginner Study Schedule: Weekly Learning Blueprint: **Week 1: Introduction to Python** - Module 1: Getting Started with Python - Topic 1: Installing Python - Topic 2: Your First Python Program - Module 2: Python Basics - Topic 1: Variables and Data Types - Topic 2: Operators and Expressions **Week 2: Control Flow and Functions** - Module 3: Control Flow - Topic 1: Conditional Statements - Topic 2: Loops - Module 4: Functions - Topic 1: Defining Functions - Topic 2: Parameters and Return Values **Week 3: Data Structures in Python** - Module 5: Lists and Tuples - Topic 1: Creating Lists and Tuples - Topic 2: List and Tuple Manipulation - Module 6: Dictionaries and Sets - Topic 1: Working with Dictionaries - Topic 2: Sets and Set Operations **Week 4: File Handling and Libraries** - Module 7: Working with Files - Topic 1: Reading and Writing Files - Topic 2: File Handling Best Practices - Module 8: Introduction to Python Libraries - Topic 1: Popular Python Libraries (NumPy, pandas) **Week 5: Object-Oriented Programming (OOP) in Python** - Module 9: Introduction to OOP - Topic 1: Classes and Objects - Topic 2: Inheritance and Polymorphism - Module 10: Python Modules and Packages - Topic 1: Creating and Importing Modules - Topic 2: Working with Packages **Week 6: Advanced Topics** - Module 11: Error Handling - Topic 1: Exception Handling - Topic 2: Custom Exceptions - Module 12: GUI Programming (Optional) - Topic 1: Introduction to Tkinter (if interested in building graphical applications) Recommended Courses: 1. **Python for Beginners on Coursera** - Course Description: An excellent beginner-friendly course covering Python fundamentals with hands-on exercises. - Duration: 6 weeks - Available on Platform: Coursera 2. **Codecademy's Python Course** - Course Description: A self-paced course for Python beginners with interactive coding exercises. - Duration: Self-paced - Available on Platform: Codecademy 3. **edX's Python for Data Science** - Course Description: Great for those interested in data analysis and visualization using Python. - Duration: 8 weeks - Available on Platform: edX Community Engagement: - **Stack Overflow**: A valuable resource for asking and answering Python-related questions. - **Python.org Community**: Engage with the Python community through forums, mailing lists, and events. Career Guidance: If you're considering transitioning into a career as a Python programmer, it's crucial to network and gain real-world experience. Consider: - Attending Python-related webinars and conferences to stay updated and connect with professionals. - Seeking mentorship through platforms like LinkedIn or Python-specific mentoring programs. - Contributing to open-source projects to build your portfolio and gain practical experience. Conclusion: Your journey to becoming a proficient Python programmer starts here. Remember to practice regularly, seek help when needed, and continuously challenge yourself with real-world projects. Python is a versatile language, and your skills can take you in various exciting directions, from web development to data science. Good luck!
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