How to master ChatGPT-4o....
The secret? Prompt engineering.
These 9 frameworks will help you!
APE
↳ Action, Purpose, Expectation
Action: Define the job or activity.
Purpose: Discuss the goal.
Expectation: State the desired outcome.
RACE
↳ Role, Action, Context, Expectation
Role: Specify ChatGPT's role.
Action: Detail the necessary action.
Context: Provide situational details.
Expectation: Describe the expected outcome.
COAST
↳ Context, Objective, Actions, Scenario, Task
Context: Set the stage.
Objective: Describe the goal.
Actions: Explain needed steps.
Scenario: Describe the situation.
Task: Outline the task.
TAG
↳ Task, Action, Goal
Task: Define the task.
Action: Describe the steps.
Goal: Explain the end goal.
RISE
↳ Role, Input, Steps, Expectation
Role: Specify ChatGPT's role.
Input: Provide necessary information.
Steps: Detail the steps.
Expectation: Describe the result.
TRACE
↳ Task, Request, Action, Context, Example
Task: Define the task.
Request: Describe the need.
Action: State the required action.
Context: Provide the situation.
Example: Illustrate with an example.
ERA
↳ Expectation, Role, Action
Expectation: Describe the desired result.
Role: Specify ChatGPT's role.
Action: Specify needed actions.
CARE
↳ Context, Action, Result, Example
Context: Set the stage.
Action: Describe the task.
Result: Describe the outcome.
Example: Give an illustration.
ROSES
↳ Role, Objective, Scenario, Expected Solution, Steps
Role: Specify ChatGPT's role.
Objective: State the goal or aim.
Scenario: Describe the situation.
Expected Solution: Define the outcome.
Steps: Ask for necessary actions to reach solution.
Join for more: https://news.1rj.ru/str/machinelearning_deeplearning
The secret? Prompt engineering.
These 9 frameworks will help you!
APE
↳ Action, Purpose, Expectation
Action: Define the job or activity.
Purpose: Discuss the goal.
Expectation: State the desired outcome.
RACE
↳ Role, Action, Context, Expectation
Role: Specify ChatGPT's role.
Action: Detail the necessary action.
Context: Provide situational details.
Expectation: Describe the expected outcome.
COAST
↳ Context, Objective, Actions, Scenario, Task
Context: Set the stage.
Objective: Describe the goal.
Actions: Explain needed steps.
Scenario: Describe the situation.
Task: Outline the task.
TAG
↳ Task, Action, Goal
Task: Define the task.
Action: Describe the steps.
Goal: Explain the end goal.
RISE
↳ Role, Input, Steps, Expectation
Role: Specify ChatGPT's role.
Input: Provide necessary information.
Steps: Detail the steps.
Expectation: Describe the result.
TRACE
↳ Task, Request, Action, Context, Example
Task: Define the task.
Request: Describe the need.
Action: State the required action.
Context: Provide the situation.
Example: Illustrate with an example.
ERA
↳ Expectation, Role, Action
Expectation: Describe the desired result.
Role: Specify ChatGPT's role.
Action: Specify needed actions.
CARE
↳ Context, Action, Result, Example
Context: Set the stage.
Action: Describe the task.
Result: Describe the outcome.
Example: Give an illustration.
ROSES
↳ Role, Objective, Scenario, Expected Solution, Steps
Role: Specify ChatGPT's role.
Objective: State the goal or aim.
Scenario: Describe the situation.
Expected Solution: Define the outcome.
Steps: Ask for necessary actions to reach solution.
Join for more: https://news.1rj.ru/str/machinelearning_deeplearning
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🐍 Python Roadmap
1️⃣ Basics: 📝📜 Syntax, Variables, Data Types
2️⃣ Control Flow: 🔄🤖 If-Else, Loops, Functions
3️⃣ Data Structures: 🗂️🔢 Lists, Tuples, Dictionaries, Sets
4️⃣ OOP in Python: 📦🎭 Classes, Inheritance, Decorators
5️⃣ File Handling: 📄📂 Read/Write, JSON, CSV
6️⃣ Modules & Libraries: 📦🚀 NumPy, Pandas, Matplotlib
7️⃣ Web Development: 🌍🔧 Flask, Django, FastAPI
8️⃣ Automation & Scripting: 🤖🛠️ Web Scraping, Selenium, Bash Scripting
9️⃣ Machine Learning: 🧠📈 TensorFlow, Scikit-learn, PyTorch
🔟 Projects & Practice: 📂🎯 Create apps, noscripts, and contribute to open source
React ❤️ for more
1️⃣ Basics: 📝📜 Syntax, Variables, Data Types
2️⃣ Control Flow: 🔄🤖 If-Else, Loops, Functions
3️⃣ Data Structures: 🗂️🔢 Lists, Tuples, Dictionaries, Sets
4️⃣ OOP in Python: 📦🎭 Classes, Inheritance, Decorators
5️⃣ File Handling: 📄📂 Read/Write, JSON, CSV
6️⃣ Modules & Libraries: 📦🚀 NumPy, Pandas, Matplotlib
7️⃣ Web Development: 🌍🔧 Flask, Django, FastAPI
8️⃣ Automation & Scripting: 🤖🛠️ Web Scraping, Selenium, Bash Scripting
9️⃣ Machine Learning: 🧠📈 TensorFlow, Scikit-learn, PyTorch
🔟 Projects & Practice: 📂🎯 Create apps, noscripts, and contribute to open source
React ❤️ for more
❤26👍4
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How to master Python from scratch🚀
1. Setup and Basics 🏁
- Install Python 🖥️: Download Python and set it up.
- Hello, World! 🌍: Write your first Hello World program.
2. Basic Syntax 📜
- Variables and Data Types 📊: Learn about strings, integers, floats, and booleans.
- Control Structures 🔄: Understand if-else statements, for loops, and while loops.
- Functions 🛠️: Write reusable blocks of code.
3. Data Structures 📂
- Lists 📋: Manage collections of items.
- Dictionaries 📖: Store key-value pairs.
- Tuples 📦: Work with immutable sequences.
- Sets 🔢: Handle collections of unique items.
4. Modules and Packages 📦
- Standard Library 📚: Explore built-in modules.
- Third-Party Packages 🌐: Install and use packages with pip.
5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑
6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨👩👧
7. Web Development 🌐
- Flask 🍼: Start with a micro web framework.
- Django 🦄: Dive into a full-fledged web framework.
8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data manipulation and analysis.
- Matplotlib 📈 and Seaborn 📊: Data visualization.
- Scikit-learn 🤖: Machine learning.
9. Automation and Scripting 🤖
- Automate Tasks 🛠️: Use Python to automate repetitive tasks.
- APIs 🌐: Interact with web services.
10. Testing and Debugging 🐞
- Unit Testing 🧪: Write tests for your code.
- Debugging 🔍: Learn to debug efficiently.
11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Extract data from websites using BeautifulSoup and Scrapy.
12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝
13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆
14. Keep Learning and Improving 📈
- Read Books 📖: Like "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow video courses and tutorials.
- Solve Challenges 🧩: On platforms like LeetCode, HackerRank, and CodeWars.
15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨🏫
I have curated the best interview resources to crack Python Interviews 👇👇
https://topmate.io/coding/898340
Hope you'll like it
Like this post if you need more resources like this 👍❤️
1. Setup and Basics 🏁
- Install Python 🖥️: Download Python and set it up.
- Hello, World! 🌍: Write your first Hello World program.
2. Basic Syntax 📜
- Variables and Data Types 📊: Learn about strings, integers, floats, and booleans.
- Control Structures 🔄: Understand if-else statements, for loops, and while loops.
- Functions 🛠️: Write reusable blocks of code.
3. Data Structures 📂
- Lists 📋: Manage collections of items.
- Dictionaries 📖: Store key-value pairs.
- Tuples 📦: Work with immutable sequences.
- Sets 🔢: Handle collections of unique items.
4. Modules and Packages 📦
- Standard Library 📚: Explore built-in modules.
- Third-Party Packages 🌐: Install and use packages with pip.
5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑
6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨👩👧
7. Web Development 🌐
- Flask 🍼: Start with a micro web framework.
- Django 🦄: Dive into a full-fledged web framework.
8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data manipulation and analysis.
- Matplotlib 📈 and Seaborn 📊: Data visualization.
- Scikit-learn 🤖: Machine learning.
9. Automation and Scripting 🤖
- Automate Tasks 🛠️: Use Python to automate repetitive tasks.
- APIs 🌐: Interact with web services.
10. Testing and Debugging 🐞
- Unit Testing 🧪: Write tests for your code.
- Debugging 🔍: Learn to debug efficiently.
11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Extract data from websites using BeautifulSoup and Scrapy.
12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝
13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆
14. Keep Learning and Improving 📈
- Read Books 📖: Like "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow video courses and tutorials.
- Solve Challenges 🧩: On platforms like LeetCode, HackerRank, and CodeWars.
15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨🏫
I have curated the best interview resources to crack Python Interviews 👇👇
https://topmate.io/coding/898340
Hope you'll like it
Like this post if you need more resources like this 👍❤️
❤16