● 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.

🧑‍💻Steps that you can do to become a dev

> Learned HTML, CSS & JS
> Learned Python
>Realized there were no Python jobs near me
>Learned Java
>Made Projects
>Learned SQL
>Learned JS again because I forgot it
>Learned Angular
>Failed Interviews
>Failed More Interviews
>Finally got 1 call

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
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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 👍👍

Perfect Prompting 🤖🤖

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.

🌟This is how ai works.

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 👍👍

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Coding Interviews

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Data Analyst Interview

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Few more courses ✅

𝟭.𝗗𝗮𝘁𝗮 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-data-fundamentals-explore-non-relational-data/

𝟮.𝗦𝗾𝗹 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/

𝟯.𝗣𝗼𝘄𝗲𝗿 𝗕𝗜
https://learn.microsoft.com/en-us/training/paths/create-use-analvtics-reports-power-bi/

𝟰.𝗔𝘇𝘂𝗿𝗲 𝗰𝗼𝘀𝗺𝗼𝘀 𝗗𝗕
https://learn.microsoft.com/en-us/training/paths/create-use-analytics-reports-power-bi/

𝟱.𝗔𝗜 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/