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📌 CodeForces
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📌 ProjectEuler
Forwarded from SQL Resources TP
Here are the SQL interview questions:
Basic SQL Questions
1. What is SQL, and what is its purpose?
2. Write a SQL query to retrieve all records from a table.
3. How do you select specific columns from a table?
4. What is the difference between WHERE and HAVING clauses?
5. How do you sort data in ascending/descending order?
SQL Query Questions
1. Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2. How do you join two tables based on a common column?
3. Write a SQL query to retrieve data from multiple tables using subqueries.
4. How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5. Write a SQL query to retrieve data from a table for a specific date range.
SQL Optimization Questions
1. How do you optimize SQL query performance?
2. What is indexing, and how does it improve query performance?
3. How do you avoid full table scans?
4. What is query caching, and how does it work?
5. How do you optimize SQL queries for large datasets?
SQL Joins and Subqueries
1. Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2. Write a SQL query to retrieve data from two tables using a subquery.
3. How do you use EXISTS and IN operators in SQL?
4. Write a SQL query to retrieve data from multiple tables using a self-join.
5. Explain the concept of correlated subqueries.
SQL Data Modeling
1. Explain the concept of normalization and denormalization.
2. How do you design a database schema for a given application?
3. What is data redundancy, and how do you avoid it?
4. Explain the concept of primary and foreign keys.
5. How do you handle data inconsistencies and anomalies?
SQL Advanced Questions
1. Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2. Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3. How do you use dynamic SQL?
4. Explain the concept of stored procedures and functions.
5. Write a SQL query to retrieve data using pivot tables.
SQL Scenario-Based Questions
1. You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2. You have a table with duplicate records. Write a SQL query to remove duplicates.
3. You have a table with missing values. Write a SQL query to replace missing values with a default value.
4. You have a table with data in an incorrect format. Write a SQL query to correct the format.
5. You have two tables with different data types for a common column. Write a SQL query to join the tables.
SQL Behavioral Questions
1. Can you explain a time when you optimized a slow-running SQL query?
2. How do you handle database errors and exceptions?
3. Can you describe a complex SQL query you wrote and why?
4. How do you stay up-to-date with new SQL features and best practices?
5. Can you walk me through your process for troubleshooting SQL issues?
Best Resources to learn SQL 👇
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
Hope it helps :)
Basic SQL Questions
1. What is SQL, and what is its purpose?
2. Write a SQL query to retrieve all records from a table.
3. How do you select specific columns from a table?
4. What is the difference between WHERE and HAVING clauses?
5. How do you sort data in ascending/descending order?
SQL Query Questions
1. Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2. How do you join two tables based on a common column?
3. Write a SQL query to retrieve data from multiple tables using subqueries.
4. How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5. Write a SQL query to retrieve data from a table for a specific date range.
SQL Optimization Questions
1. How do you optimize SQL query performance?
2. What is indexing, and how does it improve query performance?
3. How do you avoid full table scans?
4. What is query caching, and how does it work?
5. How do you optimize SQL queries for large datasets?
SQL Joins and Subqueries
1. Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2. Write a SQL query to retrieve data from two tables using a subquery.
3. How do you use EXISTS and IN operators in SQL?
4. Write a SQL query to retrieve data from multiple tables using a self-join.
5. Explain the concept of correlated subqueries.
SQL Data Modeling
1. Explain the concept of normalization and denormalization.
2. How do you design a database schema for a given application?
3. What is data redundancy, and how do you avoid it?
4. Explain the concept of primary and foreign keys.
5. How do you handle data inconsistencies and anomalies?
SQL Advanced Questions
1. Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2. Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3. How do you use dynamic SQL?
4. Explain the concept of stored procedures and functions.
5. Write a SQL query to retrieve data using pivot tables.
SQL Scenario-Based Questions
1. You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2. You have a table with duplicate records. Write a SQL query to remove duplicates.
3. You have a table with missing values. Write a SQL query to replace missing values with a default value.
4. You have a table with data in an incorrect format. Write a SQL query to correct the format.
5. You have two tables with different data types for a common column. Write a SQL query to join the tables.
SQL Behavioral Questions
1. Can you explain a time when you optimized a slow-running SQL query?
2. How do you handle database errors and exceptions?
3. Can you describe a complex SQL query you wrote and why?
4. How do you stay up-to-date with new SQL features and best practices?
5. Can you walk me through your process for troubleshooting SQL issues?
Best Resources to learn SQL 👇
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
Hope it helps :)
Telegram
SQL Resources TP
Complete SQL Topics for Data Analysts 😄👇
1. Introduction to SQL:
- Basic syntax and structure
- Understanding databases and tables
2. Querying Data:
- SELECT statement
- Filtering data using WHERE clause
- Sorting data with ORDER BY
3. Joins:…
1. Introduction to SQL:
- Basic syntax and structure
- Understanding databases and tables
2. Querying Data:
- SELECT statement
- Filtering data using WHERE clause
- Sorting data with ORDER BY
3. Joins:…
👍1
Forwarded from Web Development Resources TP
How to create Frontend development Portfolio
Forwarded from Web Development Resources TP
Free PHP Courses for Web Developer 👨💻🤩🚀
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1. Practical PHP: Master the Basics and Code Dynamic Websites
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2. Beginner PHP and MySQL Tutorial
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Crack passwords and create wordlists.
John the Ripper (https://github.com/magnumripper/JohnTheRipper)
C
Linux/Windows/macOS
John the Ripper is a fast password cracker.
hashcat (https://github.com/hashcat/hashcat)
C
Linux/Windows/macOS
World's fastest and most advanced password recovery utility.
Hydra (https://github.com/vanhauser-thc/thc-hydra)
C
Linux/Windows/macOS
Parallelized login cracker which supports numerous protocols to attack.
Zero Trust Hackers (https://t.me/zerotrusthackers)
Tg
Linux/Windows/macOS/Mobile
Shares with you daily resources in the Cyber Security EcoSystem.
ophcrack (https://gitlab.com/objectifsecurite/ophcrack)
C++
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Windows password cracker based on rainbow tables.
Ncrack (https://github.com/nmap/ncrack)
C
Linux/Windows/macOS
High-speed network authentication cracking tool.
WGen (https://github.com/agusmakmun/Python-Wordlist-Generator)
Python
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Create awesome wordlists with Python.
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Go
Linux/macOS
The best way to scan for weak ssh passwords on your network.
Top Hacker Tools: https://t.me/zerotrusthackers/47
SQL Injection Tools: https://t.me/zerotrusthackers/58
Cryptography Tools: https://t.me/zerotrusthackers/59
More Resources Here
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Crack passwords and create wordlists.
John the Ripper (https://github.com/magnumripper/JohnTheRipper)
C
Linux/Windows/macOS
John the Ripper is a fast password cracker.
hashcat (https://github.com/hashcat/hashcat)
C
Linux/Windows/macOS
World's fastest and most advanced password recovery utility.
Hydra (https://github.com/vanhauser-thc/thc-hydra)
C
Linux/Windows/macOS
Parallelized login cracker which supports numerous protocols to attack.
Zero Trust Hackers (https://t.me/zerotrusthackers)
Tg
Linux/Windows/macOS/Mobile
Shares with you daily resources in the Cyber Security EcoSystem.
ophcrack (https://gitlab.com/objectifsecurite/ophcrack)
C++
Linux/Windows/macOS
Windows password cracker based on rainbow tables.
Ncrack (https://github.com/nmap/ncrack)
C
Linux/Windows/macOS
High-speed network authentication cracking tool.
WGen (https://github.com/agusmakmun/Python-Wordlist-Generator)
Python
Linux/Windows/macOS
Create awesome wordlists with Python.
SSH Auditor (https://github.com/ncsa/ssh-auditor)
Go
Linux/macOS
The best way to scan for weak ssh passwords on your network.
Top Hacker Tools: https://t.me/zerotrusthackers/47
SQL Injection Tools: https://t.me/zerotrusthackers/58
Cryptography Tools: https://t.me/zerotrusthackers/59
More Resources Here
https://whatsapp.com/channel/0029VaxVv551iUxRku094918
Top 7 FREE Courses By Udacity 👇👇
Introduction to Python Programming
https://www.udacity.com/course/introduction-to-python--ud1110
Intro to Java: Functional Programming
https://www.udacity.com/course/java-programming-basics--ud282
SQL for Data Analysis
https://www.udacity.com/course/sql-for-data-analysis--ud198
Intro to Data Analysis
https://www.udacity.com/course/intro-to-data-analysis--ud170
Developing Android Apps with Kotlin
https://www.udacity.com/course/developing-android-apps-with-kotlin--ud9012
Intro to JavaScript
https://www.udacity.com/course/intro-to-javascript--ud803
Intro to Machine Learning
https://www.udacity.com/course/intro-to-machine-learning--ud120
Free PHP Courses for Web Developer
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NVIDIA FREE AI Certification Courses
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ENJOY LEARNING 👍👍
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Introduction to Python Programming
https://www.udacity.com/course/introduction-to-python--ud1110
Intro to Java: Functional Programming
https://www.udacity.com/course/java-programming-basics--ud282
SQL for Data Analysis
https://www.udacity.com/course/sql-for-data-analysis--ud198
Intro to Data Analysis
https://www.udacity.com/course/intro-to-data-analysis--ud170
Developing Android Apps with Kotlin
https://www.udacity.com/course/developing-android-apps-with-kotlin--ud9012
Intro to JavaScript
https://www.udacity.com/course/intro-to-javascript--ud803
Intro to Machine Learning
https://www.udacity.com/course/intro-to-machine-learning--ud120
Free PHP Courses for Web Developer
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2. JavaScript :- https://lnkd.in/dfSvFuhM
3. Jquery - https://oscarotero.com/jquery/
4. Bootstrap 5:- https://lnkd.in/dNZ6qdBh
5. Tailwind CSS:- https://lnkd.in/d_T5q5Tx
6. React:- https://lnkd.in/de55QGBg
7. Python :- https://lnkd.in/dmZa39rE
8. MongoDB:- https://lnkd.in/dBXXCQ43
9. SQL:- https://lnkd.in/dEFY_jAk
10. Nodejs :- https://lnkd.in/dwry8BKH
11. Expressjs:- https://quickref.me/express
12. Django :- https://lnkd.in/dYWQKZnT
13. PHP- https://quickref.me/php
14. Google Dork:- https://lnkd.in/dKej3-42
15. Linux:- https://lnkd.in/dCgH_qUq
16. Git:- https://lnkd.in/djf9Wc98
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Free PHP Courses for Web Developer
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NVIDIA FREE AI Certification Courses
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Passive Income Ideas for Developers
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ENJOY LEARNING 👍👍
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. HTML & CSS:- htmlcheatsheet.com
2. JavaScript :- https://lnkd.in/dfSvFuhM
3. Jquery - https://oscarotero.com/jquery/
4. Bootstrap 5:- https://lnkd.in/dNZ6qdBh
5. Tailwind CSS:- https://lnkd.in/d_T5q5Tx
6. React:- https://lnkd.in/de55QGBg
7. Python :- https://lnkd.in/dmZa39rE
8. MongoDB:- https://lnkd.in/dBXXCQ43
9. SQL:- https://lnkd.in/dEFY_jAk
10. Nodejs :- https://lnkd.in/dwry8BKH
11. Expressjs:- https://quickref.me/express
12. Django :- https://lnkd.in/dYWQKZnT
13. PHP- https://quickref.me/php
14. Google Dork:- https://lnkd.in/dKej3-42
15. Linux:- https://lnkd.in/dCgH_qUq
16. Git:- https://lnkd.in/djf9Wc98
7 Free Courses by Udacity: https://t.me/techpsyche/633
Free PHP Courses for Web Developer
https://t.me/webdevresourcestp/64
NVIDIA FREE AI Certification Courses
https://tinyurl.com/5hessh3t
Passive Income Ideas for Developers
https://t.me/techpsyche/596
CISCO Free Certification Courses
https://bit.ly/4i9Kc9Z
ENJOY LEARNING 👍👍
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
👍1
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
How AI Search Actually Works 👆
Tableau Cheat Sheet ✅
This Tableau cheatsheet is designed to be your quick reference guide for data visualization and analysis using Tableau. Whether you’re a beginner learning the basics or an experienced user looking for a handy resource, this cheatsheet covers essential topics.
1. Connecting to Data
- Use Connect pane to connect to various data sources (Excel, SQL Server, Text files, etc.).
2. Data Preparation
- Data Interpreter: Clean data automatically using the Data Interpreter.
- Join Data: Combine data from multiple tables using joins (Inner, Left, Right, Outer).
- Union Data: Stack data from multiple tables with the same structure.
3. Creating Views
- Drag & Drop: Drag fields from the Data pane onto Rows, Columns, or Marks to create visualizations.
- Show Me: Use the Show Me panel to select different visualization types.
4. Types of Visualizations
- Bar Chart: Compare values across categories.
- Line Chart: Display trends over time.
- Pie Chart: Show proportions of a whole (use sparingly).
- Map: Visualize geographic data.
- Scatter Plot: Show relationships between two variables.
5. Filters
- Dimension Filters: Filter data based on categorical values.
- Measure Filters: Filter data based on numerical values.
- Context Filters: Set a context for other filters to improve performance.
6. Calculated Fields
- Create calculated fields to derive new data:
- Example: Sales Growth = SUM([Sales]) - SUM([Previous Sales])
7. Parameters
- Use parameters to allow user input and control measures dynamically.
8. Formatting
- Format fonts, colors, borders, and lines using the Format pane for better visual appeal.
9. Dashboards
- Combine multiple sheets into a dashboard using the Dashboard tab.
- Use dashboard actions (filter, highlight, URL) to create interactivity.
10. Story Points
- Create a story to guide users through insights with narrative and visualizations.
11. Publishing & Sharing
- Publish dashboards to Tableau Server or Tableau Online for sharing and collaboration.
12. Export Options
- Export to PDF or image for offline use.
13. Keyboard Shortcuts
- Show/Hide Sidebar: Ctrl+Alt+T
- Duplicate Sheet: Ctrl + D
- Undo: Ctrl + Z
- Redo: Ctrl + Y
14. Performance Optimization
- Use extracts instead of live connections for faster performance.
- Optimize calculations and filters to improve dashboard loading times.
Tableau Learning Plan
https://t.me/dataanalysisresourcestp/84
7 Free Data Analytics Courses👇👇
https://tinyurl.com/326exaw7
Data Analyst Checklist
https://t.me/dataanalysisresourcestp/99
Hope it helps :)
Share our channel link with your friends:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
This Tableau cheatsheet is designed to be your quick reference guide for data visualization and analysis using Tableau. Whether you’re a beginner learning the basics or an experienced user looking for a handy resource, this cheatsheet covers essential topics.
1. Connecting to Data
- Use Connect pane to connect to various data sources (Excel, SQL Server, Text files, etc.).
2. Data Preparation
- Data Interpreter: Clean data automatically using the Data Interpreter.
- Join Data: Combine data from multiple tables using joins (Inner, Left, Right, Outer).
- Union Data: Stack data from multiple tables with the same structure.
3. Creating Views
- Drag & Drop: Drag fields from the Data pane onto Rows, Columns, or Marks to create visualizations.
- Show Me: Use the Show Me panel to select different visualization types.
4. Types of Visualizations
- Bar Chart: Compare values across categories.
- Line Chart: Display trends over time.
- Pie Chart: Show proportions of a whole (use sparingly).
- Map: Visualize geographic data.
- Scatter Plot: Show relationships between two variables.
5. Filters
- Dimension Filters: Filter data based on categorical values.
- Measure Filters: Filter data based on numerical values.
- Context Filters: Set a context for other filters to improve performance.
6. Calculated Fields
- Create calculated fields to derive new data:
- Example: Sales Growth = SUM([Sales]) - SUM([Previous Sales])
7. Parameters
- Use parameters to allow user input and control measures dynamically.
8. Formatting
- Format fonts, colors, borders, and lines using the Format pane for better visual appeal.
9. Dashboards
- Combine multiple sheets into a dashboard using the Dashboard tab.
- Use dashboard actions (filter, highlight, URL) to create interactivity.
10. Story Points
- Create a story to guide users through insights with narrative and visualizations.
11. Publishing & Sharing
- Publish dashboards to Tableau Server or Tableau Online for sharing and collaboration.
12. Export Options
- Export to PDF or image for offline use.
13. Keyboard Shortcuts
- Show/Hide Sidebar: Ctrl+Alt+T
- Duplicate Sheet: Ctrl + D
- Undo: Ctrl + Z
- Redo: Ctrl + Y
14. Performance Optimization
- Use extracts instead of live connections for faster performance.
- Optimize calculations and filters to improve dashboard loading times.
Tableau Learning Plan
https://t.me/dataanalysisresourcestp/84
7 Free Data Analytics Courses👇👇
https://tinyurl.com/326exaw7
Data Analyst Checklist
https://t.me/dataanalysisresourcestp/99
Hope it helps :)
Share our channel link with your friends:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
👍1
Remote Golang Engineer Job at Canonical, United Kingdom(UK)
- Fully Remote (Worldwide)
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- Fully Remote (Worldwide)
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#remotejobs