StackOverflow is a dinosaur that's going extinct.
I mostly use Copilot, ChatGPT, & Perplexity. I haven't found a single reason to visit StackOverflow anymore.
StackOverflow can't compete, & I don't see how they can stay relevant any longer.
I use Copilot for inline suggestions. As I type, Copilot takes care of the little things. It saves me from dozens of searches every day.
ChatGPT is the workhorse. I use it to solve more complex tasks with my code. Here are some examples:
• Explain what this code does
• Simplify it
• Rewrite it in a more efficient way
• Rewrite it in a more readable way
• Replace the use of a library with another
• Write documentation for it
• Describe potential edge cases
• Write unit tests for those edge cases
I use Perplexity to ask questions. Google is broken. If you don't believe me, try Perplexity for a day.
(Google is still king as a navigation tool, I never type a complete URL in my browser)
Modern AI-powered tools are replacing boomer tech.
I mostly use Copilot, ChatGPT, & Perplexity. I haven't found a single reason to visit StackOverflow anymore.
StackOverflow can't compete, & I don't see how they can stay relevant any longer.
I use Copilot for inline suggestions. As I type, Copilot takes care of the little things. It saves me from dozens of searches every day.
ChatGPT is the workhorse. I use it to solve more complex tasks with my code. Here are some examples:
• Explain what this code does
• Simplify it
• Rewrite it in a more efficient way
• Rewrite it in a more readable way
• Replace the use of a library with another
• Write documentation for it
• Describe potential edge cases
• Write unit tests for those edge cases
I use Perplexity to ask questions. Google is broken. If you don't believe me, try Perplexity for a day.
(Google is still king as a navigation tool, I never type a complete URL in my browser)
Modern AI-powered tools are replacing boomer tech.
👍22
● Ctrl + A: Select all contents of the page.
● Ctrl + B: Bold highlighted selection.
● Ctrl + C: Copy selected text.
● Ctrl + X: Cut selected text.
● Ctrl + P: Open the print window.
● Ctrl + F: Open find box.
●Ctrl + I: Italic highlighted selection.
● Ctrl + K: Insert link (Shortcut Keys and their Functions).
● Ctrl + U: Underline highlighted selection.
● Ctrl + V: Paste.
● Ctrl + Y: Redo the last action performed.
● Ctrl + Z: Undo last action.
● Ctrl + L: Aligns the line or selected text to the left of the screen.
● Ctrl + E: Aligns the line or selected text to the center of the screen.
● Ctrl + R: Aligns the line or selected text to the right of the screen.
● Ctrl + M: Indent the paragraph.
● Ctrl + Shift + F: Change the font.
● Ctrl + Shift + >: Increase selected font +1pts up to 12pt and then increases font +2pts.
● Ctrl + ]: Increase selected font +1pts.
● Ctrl + Shift + <: Decrease selected font -1pts if 12pt or lower, if above 12 decreases font by +2pt.
● Ctrl + [: Decrease selected font -1pts.
● Ctrl + Shift + *: View or hide non printing characters.
● Ctrl + L: Moves one word to the left.
● Ctrl + R: Moves one word to the right.
● Ctrl + : Moves to the beginning of the line or paragraph.
● Ctrl + : Moves to the end of the paragraph.
● Ctrl + Del: Deletes word to right of cursor.
● Ctrl + Backspace: Deletes word to left of cursor.
● Ctrl + End: Moves the cursor to the end of the
document.
● Ctrl + Home: Moves the cursor to the beginning of the document.
● Ctrl + Spacebar: Reset highlighted text to the default font.
● Ctrl + 1: Single-space lines.
● Ctrl + 2: Double-space lines.
● Ctrl + 5: 1.5-line spacing.
● Ctrl + Alt + 1: Changes text to heading 1.
● Ctrl + Alt + 2: Changes text to heading 2.
● Ctrl + Alt + 3: Changes text to heading 3.
● Alt + Shift + D: Insert the current date.
● Alt + Shift + T: Insert the current time.
● Ctrl + B: Bold highlighted selection.
● Ctrl + C: Copy selected text.
● Ctrl + X: Cut selected text.
● Ctrl + P: Open the print window.
● Ctrl + F: Open find box.
●Ctrl + I: Italic highlighted selection.
● Ctrl + K: Insert link (Shortcut Keys and their Functions).
● Ctrl + U: Underline highlighted selection.
● Ctrl + V: Paste.
● Ctrl + Y: Redo the last action performed.
● Ctrl + Z: Undo last action.
● Ctrl + L: Aligns the line or selected text to the left of the screen.
● Ctrl + E: Aligns the line or selected text to the center of the screen.
● Ctrl + R: Aligns the line or selected text to the right of the screen.
● Ctrl + M: Indent the paragraph.
● Ctrl + Shift + F: Change the font.
● Ctrl + Shift + >: Increase selected font +1pts up to 12pt and then increases font +2pts.
● Ctrl + ]: Increase selected font +1pts.
● Ctrl + Shift + <: Decrease selected font -1pts if 12pt or lower, if above 12 decreases font by +2pt.
● Ctrl + [: Decrease selected font -1pts.
● Ctrl + Shift + *: View or hide non printing characters.
● Ctrl + L: Moves one word to the left.
● Ctrl + R: Moves one word to the right.
● Ctrl + : Moves to the beginning of the line or paragraph.
● Ctrl + : Moves to the end of the paragraph.
● Ctrl + Del: Deletes word to right of cursor.
● Ctrl + Backspace: Deletes word to left of cursor.
● Ctrl + End: Moves the cursor to the end of the
document.
● Ctrl + Home: Moves the cursor to the beginning of the document.
● Ctrl + Spacebar: Reset highlighted text to the default font.
● Ctrl + 1: Single-space lines.
● Ctrl + 2: Double-space lines.
● Ctrl + 5: 1.5-line spacing.
● Ctrl + Alt + 1: Changes text to heading 1.
● Ctrl + Alt + 2: Changes text to heading 2.
● Ctrl + Alt + 3: Changes text to heading 3.
● Alt + Shift + D: Insert the current date.
● Alt + Shift + T: Insert the current time.
👍53❤3👎2
Free Data Science Useful Resources
👇👇
Intro to Data Science
https://imp.i115008.net/rn2beD
Data Analysis and Visualization
https://imp.i115008.net/JrBjZR
Data Analysis with R by Facebook
https://imp.i115008.net/gbJr5r
Data Science Interview Questions and Answers
👇👇
https://t.iss.one/datasciencefun/958
Data Analysis with Python and PySpark
👇👇
https://t.iss.one/learndataanalysis/44
Introduction to Data Science using Python
https://ern.li/OP/1qvkxbfaxqj
Intro to Data for Data Science
https://ern.li/OP/1qvkxbfbmf8
Data Science with Analogies, Algorithms and Solved Problems
https://ern.li/OP/1qvkxbfcehz
Introduction to Data Science for Complete Beginners
https://bit.ly/3sh4oPO
Data Science Cheat sheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
ENJOY LEARNING 👍👍
👇👇
Intro to Data Science
https://imp.i115008.net/rn2beD
Data Analysis and Visualization
https://imp.i115008.net/JrBjZR
Data Analysis with R by Facebook
https://imp.i115008.net/gbJr5r
Data Science Interview Questions and Answers
👇👇
https://t.iss.one/datasciencefun/958
Data Analysis with Python and PySpark
👇👇
https://t.iss.one/learndataanalysis/44
Introduction to Data Science using Python
https://ern.li/OP/1qvkxbfaxqj
Intro to Data for Data Science
https://ern.li/OP/1qvkxbfbmf8
Data Science with Analogies, Algorithms and Solved Problems
https://ern.li/OP/1qvkxbfcehz
Introduction to Data Science for Complete Beginners
https://bit.ly/3sh4oPO
Data Science Cheat sheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
ENJOY LEARNING 👍👍
👍11
Top 9 Http Methods-
GET 🧐 - Retrieve data from a resource.
HEAD 🎧 - Retrieve the headers of a resource.
POST 📮 - Submit data to a resource.
PUT 📥 - Update an existing resource or create a new resource.
DELETE 🗑️ - Remove a resource.
CONNECT 🔗 - Establish a network connection for a resource.
OPTIONS ⚙️ - Describe communication options for the target resource.
TRACE 🕵️♂️ - Retrieve a diagnostic trace of the request.
PATCH 🩹 - Apply a partial update to a resource.
GET 🧐 - Retrieve data from a resource.
HEAD 🎧 - Retrieve the headers of a resource.
POST 📮 - Submit data to a resource.
PUT 📥 - Update an existing resource or create a new resource.
DELETE 🗑️ - Remove a resource.
CONNECT 🔗 - Establish a network connection for a resource.
OPTIONS ⚙️ - Describe communication options for the target resource.
TRACE 🕵️♂️ - Retrieve a diagnostic trace of the request.
PATCH 🩹 - Apply a partial update to a resource.
👍8❤2
Complete Python Roadmap 🐍👇
1. Introduction to Python
- Definition
- Purpose
- Python Installation
- Interpreter vs Compiler
2. Basic Python Syntax
- Print Statement
- Variables and Data Types
- Input and Output
- Operators
3. Control Flow
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Break and Continue Statements
4. Data Structures
- Lists
- Tuples
- Sets
- Dictionaries
5. Functions
- Function Definition
- Parameters and Return Values
- Lambda Functions
6. File Handling
- Reading from and Writing to Files
- Handling Exceptions
7. Modules and Packages
- Importing Modules
- Creating Packages
8. Object-Oriented Programming (OOP)
- Classes and Objects
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
9. Error Handling
- Try, Except Blocks
- Custom Exceptions
10. Advanced Data Structures
- List Comprehensions
- Generators
- Collections Module
11. Decorators and Generators
- Function Decorators
- Generator Functions
12. Working with APIs
- Making HTTP Requests
- JSON Handling
13. Database Interaction with Python
- Connecting to Databases
- CRUD Operations
14. Web Development with Flask/Django
- Flask/Django Setup
- Routing and Templates
15. Asynchronous Programming
- Async/Await
- Asyncio Library
16. Testing in Python
- Unit Testing
- Testing Frameworks (e.g., pytest)
17. Pythonic Code
- PEP 8 Style Guide
- Code Readability
18. Version Control (Git)
- Basic Commands
- Collaborative Development
19. Data Science Libraries
- NumPy
- Pandas
- Matplotlib
20. Machine Learning Basics
- Scikit-Learn
- Model Training and Evaluation
21. Web Scraping
- BeautifulSoup
- Scrapy
22. RESTful API Development
- Flask/Django Rest Framework
23. CI/CD Basics
- Continuous Integration
- Continuous Deployment
24. Deployment
- Deploying Python Applications
- Hosting Platforms (e.g., Heroku)
25. Security Best Practices
- Input Validation
- Handling Sensitive Data
26. Code Documentation
- Docstrings
- Generating Documentation
27. Community and Collaboration
- Open Source Contributions
- Forums and Conferences
Resources to Learn Python:
1. Free Course
- https://www.freecodecamp.org/learn/data-analysis-with-python/
2. Projects
- t.iss.one/pythonfreebootcamp/177
- t.iss.one/pythonspecialist/90
3. Books & Notes
- https://t.iss.one/dsabooks/99
- https://t.iss.one/dsabooks/101
4. Python Interview Preparation
- https://t.iss.one/PythonInterviews
- t.iss.one/DataAnalystInterview/63
Join @free4unow_backup for more Python resources.
Like this post if you want more content like this 😄❤️
ENJOY LEARNING 👍👍
1. Introduction to Python
- Definition
- Purpose
- Python Installation
- Interpreter vs Compiler
2. Basic Python Syntax
- Print Statement
- Variables and Data Types
- Input and Output
- Operators
3. Control Flow
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Break and Continue Statements
4. Data Structures
- Lists
- Tuples
- Sets
- Dictionaries
5. Functions
- Function Definition
- Parameters and Return Values
- Lambda Functions
6. File Handling
- Reading from and Writing to Files
- Handling Exceptions
7. Modules and Packages
- Importing Modules
- Creating Packages
8. Object-Oriented Programming (OOP)
- Classes and Objects
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
9. Error Handling
- Try, Except Blocks
- Custom Exceptions
10. Advanced Data Structures
- List Comprehensions
- Generators
- Collections Module
11. Decorators and Generators
- Function Decorators
- Generator Functions
12. Working with APIs
- Making HTTP Requests
- JSON Handling
13. Database Interaction with Python
- Connecting to Databases
- CRUD Operations
14. Web Development with Flask/Django
- Flask/Django Setup
- Routing and Templates
15. Asynchronous Programming
- Async/Await
- Asyncio Library
16. Testing in Python
- Unit Testing
- Testing Frameworks (e.g., pytest)
17. Pythonic Code
- PEP 8 Style Guide
- Code Readability
18. Version Control (Git)
- Basic Commands
- Collaborative Development
19. Data Science Libraries
- NumPy
- Pandas
- Matplotlib
20. Machine Learning Basics
- Scikit-Learn
- Model Training and Evaluation
21. Web Scraping
- BeautifulSoup
- Scrapy
22. RESTful API Development
- Flask/Django Rest Framework
23. CI/CD Basics
- Continuous Integration
- Continuous Deployment
24. Deployment
- Deploying Python Applications
- Hosting Platforms (e.g., Heroku)
25. Security Best Practices
- Input Validation
- Handling Sensitive Data
26. Code Documentation
- Docstrings
- Generating Documentation
27. Community and Collaboration
- Open Source Contributions
- Forums and Conferences
Resources to Learn Python:
1. Free Course
- https://www.freecodecamp.org/learn/data-analysis-with-python/
2. Projects
- t.iss.one/pythonfreebootcamp/177
- t.iss.one/pythonspecialist/90
3. Books & Notes
- https://t.iss.one/dsabooks/99
- https://t.iss.one/dsabooks/101
4. Python Interview Preparation
- https://t.iss.one/PythonInterviews
- t.iss.one/DataAnalystInterview/63
Join @free4unow_backup for more Python resources.
Like this post if you want more content like this 😄❤️
ENJOY LEARNING 👍👍
👍32❤4