Artificial Intelligence & ChatGPT Prompts

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30-day roadmap to learn Python up to an intermediate level Week 1: Python Basics *Day 1-2:* - Learn about Python, its syntax, and how to install Python on your computer. - Write your first "Hello, World!" program. - Understand variables and data types (integers, floats, strings). *Day 3-4:* - Explore basic operations (arithmetic, string concatenation). - Learn about user input and how to use the input() function. - Practice creating and using variables. *Day 5-7:* - Dive into control flow with if statements, else statements, and loops (for and while). - Work on simple programs that involve conditions and loops. Week 2: Functions and Modules *Day 8-9:* - Study functions and how to define your own functions using def. - Learn about function arguments and return values. *Day 10-12:* - Explore built-in functions and libraries (e.g., len(), random, math). - Understand how to import modules and use their functions. *Day 13-14:* - Practice writing functions for common tasks. - Create a small project that utilizes functions and modules. Week 3: Data Structures *Day 15-17:* - Learn about lists and their operations (slicing, appending, removing). - Understand how to work with lists of different data types. *Day 18-19:* - Study dictionaries and their key-value pairs. - Practice manipulating dictionary data. *Day 20-21:* - Explore tuples and sets. - Understand when and how to use each data structure. Week 4: Intermediate Topics *Day 22-23:* - Study file handling and how to read/write files in Python. - Work on projects involving file operations. *Day 24-26:* - Learn about exceptions and error handling. - Explore object-oriented programming (classes and objects). *Day 27-28:* - Dive into more advanced topics like list comprehensions and generators. - Study Python's built-in libraries for web development (e.g., requests). *Day 29-30:* - Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development). - Work on a more complex project that combines your knowledge from the past weeks. Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Best Programming Resources: https://topmate.io/coding/886839 ENJOY LEARNING 👍👍

TYPES OF INTELLIGENCE 4 types of Intelligence: 1) Intelligence Quotient (IQ) 2) Emotional Quotient (EQ) 3) Social Quotient (SQ) 4) Adversity Quotient (AQ) 1. Intelligence Quotient (IQ): this is the measure of your level of comprehension. You need IQ to solve maths, memorize things, and recall lessons. 2. Emotional Quotient (EQ): this is the measure of your ability to maintain peace with others, keep to time, be responsible, be honest, respect boundaries, be humble, genuine and considerate. 3. Social Quotient (SQ): this is the measure of your ability to build a network of friends and maintain it over a long period of time. People that have higher EQ and SQ tend to go further in life than those with a high IQ but low EQ and SQ. Most schools capitalize on improving IQ levels while EQ and SQ are played down. Develop their IQ, as well as their EQ, SQ and AQ. They should become multifaceted human beings able to do things independently of their parents. 4. The Adversity Quotient (AQ): The measure of your ability to go through a rough patch in life, and come out of it without losing your mind. When faced with troubles, AQ determines who will give up, who will abandon their family, and who will consider suicide. Parents please expose your children to other areas of life than just Academics. They should adore manual labour (never use work as a form of punishment), Sports and Arts.

The Pomodoro Technique: This time management technique involves working in focused 25-minute increments, followed by a 5-minute break. After four cycles, take a longer break of 15-30 minutes. This will help you stay focused and avoid burnout.

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Want to use ChatGPT at lightning speed? You must tap in to ChatGPT's short cuts. 1. Go to ChatGPT 2. Bottom right '?' mark 3. Access keyboard shortcuts Keyboard Shortcuts: 1. Show shortcuts: Ctrl + / 2. Focus chat input: Shift + Esc 3. Toggle sidebar: Ctrl + Shift + S 4. Open new chat: Ctrl + Shift + O 5. Copy last response: Ctrl + Shift + C For example: "Write a paper from ChatGPT's output." 1. Copy output: Ctrl + Shift + C 2. Open new chat: Ctrl + Shift + O 3. Ask it to write a paper on the info. 4. Ctrl V to paste in new information. 5. Press enter. Then paper completed. (without ever touching your mouse) Now THIS is ChatGPT mastery. Move fast. Save time.

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5 Handy Tips to Master Data Science ⬇️ 1️⃣ Begin with introductory projects that cover the fundamental concepts of data science, such as data exploration, cleaning, and visualization. These projects will help you get familiar with common data science tools and libraries like Python (Pandas, NumPy, Matplotlib), R, SQL, and Excel 2️⃣ Look for publicly available datasets from sources like Kaggle, UCI Machine Learning Repository. Working with real-world data will expose you to the challenges of messy, incomplete, and heterogeneous data, which is common in practical scenarios. 3️⃣ Explore various data science techniques like regression, classification, clustering, and time series analysis. Apply these techniques to different datasets and domains to gain a broader understanding of their strengths, weaknesses, and appropriate use cases. 4️⃣ Work on projects that involve the entire data science lifecycle, from data collection and cleaning to model building, evaluation, and deployment. This will help you understand how different components of the data science process fit together. 5️⃣ Consistent practice is key to mastering any skill. Set aside dedicated time to work on data science projects, and gradually increase the complexity and scope of your projects as you gain more experience.

7 level of writing Python Dictionary Level 1: Basic Dictionary Creation Level 2: Accessing and Modifying values Level 3: Adding and Removing key Values Pairs Level 4: Dictionary Methods Level 5: Dictionary Comprehensions Level 6: Nested Dictionary Level 7: Advanced Dictionary Operations 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 👍❤️

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🔅 Multimodal prompting

"𝑫𝒐𝒏'𝒕 𝒄𝒂𝒍𝒍 𝒊𝒕 𝒂 𝒅𝒓𝒆𝒂𝒎, 𝒄𝒂𝒍𝒍 𝒊𝒕 𝒂𝒏 𝒂𝒊𝒎. 𝑫𝒓𝒆𝒂𝒎𝒔 𝒂𝒓𝒆 𝒋𝒖𝒔𝒕 𝒔𝒆𝒆𝒏, 𝒂𝒊𝒎𝒔 𝒂𝒓𝒆 𝒂𝒄𝒉𝒊𝒆𝒗𝒆𝒅."