🔰 List of all errors 🔰
- 400 (Bad request)
- 401 (Authorization required)
- 402 (Payment required)
- 403 (Forbidden)
- 404 (Not found)
- 405 (Method not allowed)
- 406 (Not acceptable)
- 407 (Proxy authentication required)
- 408 (Request Timeout)
- 409 (Conflict)
- 410 (Gone)
- 411 (Length required)
- 412 (Precondition failed)
- 413 (Request entity too large)
- 414 (Request URI too large)
- 415 (Unsupported media type)
- 416 (Request range not satisfiable)
- 417 (Expectation failed)
- 422 (Unprocessable entity)
- 423 (Locked)
- 424 (Failed dependency)
- 500 (Internal server error)
- 501 (Not Implemented)
- 502 (Bad gateway)
- 503 (Service unavailable)
- 504 (Gateway timeout)
- 505 (HTTP version not supported)
- 506 (Variant also negotiates)
- 507 (Insufficient storage)
- 510 (Not extended)
- 400 (Bad request)
- 401 (Authorization required)
- 402 (Payment required)
- 403 (Forbidden)
- 404 (Not found)
- 405 (Method not allowed)
- 406 (Not acceptable)
- 407 (Proxy authentication required)
- 408 (Request Timeout)
- 409 (Conflict)
- 410 (Gone)
- 411 (Length required)
- 412 (Precondition failed)
- 413 (Request entity too large)
- 414 (Request URI too large)
- 415 (Unsupported media type)
- 416 (Request range not satisfiable)
- 417 (Expectation failed)
- 422 (Unprocessable entity)
- 423 (Locked)
- 424 (Failed dependency)
- 500 (Internal server error)
- 501 (Not Implemented)
- 502 (Bad gateway)
- 503 (Service unavailable)
- 504 (Gateway timeout)
- 505 (HTTP version not supported)
- 506 (Variant also negotiates)
- 507 (Insufficient storage)
- 510 (Not extended)
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✍️ 8 ChatGPT prompts to use when you need a spark of inspiration
Use those prompts as a starting point to move forward when you are at a dead end or have lost your way:
1. Improve your decision making
💡 Prompt:
2. Learn from the best
💡 Prompt:
3. Your personalized tutor
💡 Prompt:
4. ChatGPT as your intern
💡 Prompt:
5. Learn any new skill
💡 Prompt:
6. Learn faster than ever with the 80/20 technique
💡 Prompt:
7. Get ChatGPT to write prompts for you
💡 Prompt:
8. Rewrite and simplify complex texts
💡 Prompt:
Use those prompts as a starting point to move forward when you are at a dead end or have lost your way:
1. Improve your decision making
💡 Prompt:
I am trying to decide if I should [insert decision]. Give me a list of pros and cons that will help me make this decision.2. Learn from the best
💡 Prompt:
Analyze the top performers in [insert your field of work]. Give me a list of the most important lessons I can learn from them to boost my productivity.3. Your personalized tutor
💡 Prompt:
I am currently learning about [insert topic]. Ask me a series of questions that will test my knowledge. Identify knowledge gaps in my answers and give me better answers to fill those gaps.4. ChatGPT as your intern
💡 Prompt:
I am creating a report about [insert topic]. Research and create an in-depth report with a step-by-step guide that will help readers understand how to [insert outcome].5. Learn any new skill
💡 Prompt:
I want to learn [insert skill]. Generate a 30 day plan that will help a beginner like me learn the skill from scratch.6. Learn faster than ever with the 80/20 technique
💡 Prompt:
I want to learn about [insert topic]. Identify and share the most important 20% of learnings from this topic that will help me understand 80% of it.7. Get ChatGPT to write prompts for you
💡 Prompt:
I am a/an [insert your profession]. Generate a list of most powerful prompts that will help someone in my profession get more done and save time.8. Rewrite and simplify complex texts
💡 Prompt:
Rewrite the text below in simple and easy to understand words. Simple and easy enough for anyone who doesn't know the subject to understand what I'm trying to say.👍18❤3
Stop wasting your 20s partying, dating, and being in a comfort zone.
Here are 15 habits that will transform your life in 90 days:
Health Fitness Tips
Here are 15 habits that will transform your life in 90 days:
Health Fitness Tips
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AI Expert Roadmap
Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert.
What is actually pretty cool is that you can click in any part of roadmap and learn more about mentioned concept!
https://i.am.ai/roadmap/
Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert.
What is actually pretty cool is that you can click in any part of roadmap and learn more about mentioned concept!
https://i.am.ai/roadmap/
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Number of billionaires.
🇺🇸 US: 735
🇨🇳 China: 495
🇮🇳 India: 169
🇩🇪 Germany: 126
🇷🇺 Russia: 105
🇭🇰 Hong Kong: 66
🇮🇹 Italy: 64
🇨🇦 Canada: 63
🇹🇼 Taiwan: 52
🇬🇧 UK: 52
🇧🇷 Brazil: 51
🇦🇺 Australia: 47
🇫🇷 France: 43
🇨🇭Switzerland: 41
🇯🇵 Japan: 40
🇺🇸 US: 735
🇨🇳 China: 495
🇮🇳 India: 169
🇩🇪 Germany: 126
🇷🇺 Russia: 105
🇭🇰 Hong Kong: 66
🇮🇹 Italy: 64
🇨🇦 Canada: 63
🇹🇼 Taiwan: 52
🇬🇧 UK: 52
🇧🇷 Brazil: 51
🇦🇺 Australia: 47
🇫🇷 France: 43
🇨🇭Switzerland: 41
🇯🇵 Japan: 40
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How to see what Google's advertising algorithms think about you
It's no secret that Google collects a lot of information about its users. The company claims to use it for your own good, to offer ads for potentially interesting products and services, so that such offers are less intrusive and more useful.
If you can't figure out why you're seeing ads for weird things, you can use a couple of clicks to find out what Google's advertising algorithms think of you, based on your search history and other data.
It's no secret that Google collects a lot of information about its users. The company claims to use it for your own good, to offer ads for potentially interesting products and services, so that such offers are less intrusive and more useful.
If you can't figure out why you're seeing ads for weird things, you can use a couple of clicks to find out what Google's advertising algorithms think of you, based on your search history and other data.
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"𝑫𝒐𝒏'𝒕 𝒄𝒂𝒍𝒍 𝒊𝒕 𝒂 𝒅𝒓𝒆𝒂𝒎, 𝒄𝒂𝒍𝒍 𝒊𝒕 𝒂𝒏 𝒂𝒊𝒎. 𝑫𝒓𝒆𝒂𝒎𝒔 𝒂𝒓𝒆 𝒋𝒖𝒔𝒕 𝒔𝒆𝒆𝒏, 𝒂𝒊𝒎𝒔 𝒂𝒓𝒆 𝒂𝒄𝒉𝒊𝒆𝒗𝒆𝒅."
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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 👍❤️
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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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.
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.
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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.
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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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.
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.
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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
- 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
- Learn about function arguments and return values.
*Day 10-12:*
- Explore built-in functions and libraries (e.g.,
- 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 👍👍
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 👍👍
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