● 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
Useful Telegram Channels to boost your career 😄👇
Free Courses with Certificate
Web Development
Data Science & Machine Learning
Programming books
Python Free Courses
Data Analytics
Ethical Hacking & Cyber Security
English Speaking & Communication
Excel
ChatGPT Hacks
SQL
Tableau & Power BI
Coding Projects
Data Science Projects
Jobs & Internship Opportunities
Coding Interviews
Udemy Free Courses with Certificate
Cryptocurrency & Bitcoin
Python Projects
Data Analyst Interview
Data Analyst Jobs
Python Interview
ChatGPT Hacks
ENJOY LEARNING 👍👍
Free Courses with Certificate
Web Development
Data Science & Machine Learning
Programming books
Python Free Courses
Data Analytics
Ethical Hacking & Cyber Security
English Speaking & Communication
Excel
ChatGPT Hacks
SQL
Tableau & Power BI
Coding Projects
Data Science Projects
Jobs & Internship Opportunities
Coding Interviews
Udemy Free Courses with Certificate
Cryptocurrency & Bitcoin
Python Projects
Data Analyst Interview
Data Analyst Jobs
Python Interview
ChatGPT Hacks
ENJOY LEARNING 👍👍
👍19👎2❤1
🚀 Microsoft is offering some FREE courses 🚀
1️⃣ AI for beginners
Check this out 👇
https://microsoft.github.io/AI-For-Beginners
2️⃣ IOT
Check this out 👇
https://microsoft.github.io/IoT-For-Beginners
3️⃣ Machine Learning
Check this out👇
https://microsoft.github.io/ML-For-Beginners/#/
4️⃣ Data Science
Check this out👇
https://microsoft.github.io/Data-Science-For-Beginners/#/
Free Coding Courses
https://t.iss.one/addlist/ID95piZJZa0wYzk5
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/
1️⃣ AI for beginners
Check this out 👇
https://microsoft.github.io/AI-For-Beginners
2️⃣ IOT
Check this out 👇
https://microsoft.github.io/IoT-For-Beginners
3️⃣ Machine Learning
Check this out👇
https://microsoft.github.io/ML-For-Beginners/#/
4️⃣ Data Science
Check this out👇
https://microsoft.github.io/Data-Science-For-Beginners/#/
Free Coding Courses
https://t.iss.one/addlist/ID95piZJZa0wYzk5
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/
👍12❤2
Useful Windows 11 features. New shortcuts.
If you're a fan of various shortcuts, then there's a party in your street - Microsoft has added a couple of handy shortcuts to work with the new system.
Win+A - will open the quick sound setup menu, Wi-Fi and mini player.
Win+N - also in Windows 10 opens notifications, but now it includes the calendar.
Win+Z - opens a small multi-window setup window.
Win+H - this is a voice-recognition voice recorder that already knows how to work with the Russian language. For its work it is enough to open any input field, and then press the above buttons and start talking.
If you're a fan of various shortcuts, then there's a party in your street - Microsoft has added a couple of handy shortcuts to work with the new system.
Win+A - will open the quick sound setup menu, Wi-Fi and mini player.
Win+N - also in Windows 10 opens notifications, but now it includes the calendar.
Win+Z - opens a small multi-window setup window.
Win+H - this is a voice-recognition voice recorder that already knows how to work with the Russian language. For its work it is enough to open any input field, and then press the above buttons and start talking.
👍13🏆1