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Forwarded from Python Resources TP
Calendar in Python๐Ÿ˜ธ
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Forwarded from SQL Resources TP
Here are the SQL interview questions:

Basic SQL Questions

1.โ  โ What is SQL, and what is its purpose?
2.โ  โ Write a SQL query to retrieve all records from a table.
3.โ  โ How do you select specific columns from a table?
4.โ  โ What is the difference between WHERE and HAVING clauses?
5.โ  โ How do you sort data in ascending/descending order?

SQL Query Questions

1.โ  โ Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2.โ  โ How do you join two tables based on a common column?
3.โ  โ Write a SQL query to retrieve data from multiple tables using subqueries.
4.โ  โ How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5.โ  โ Write a SQL query to retrieve data from a table for a specific date range.

SQL Optimization Questions

1.โ  โ How do you optimize SQL query performance?
2.โ  โ What is indexing, and how does it improve query performance?
3.โ  โ How do you avoid full table scans?
4.โ  โ What is query caching, and how does it work?
5.โ  โ How do you optimize SQL queries for large datasets?

SQL Joins and Subqueries

1.โ  โ Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2.โ  โ Write a SQL query to retrieve data from two tables using a subquery.
3.โ  โ How do you use EXISTS and IN operators in SQL?
4.โ  โ Write a SQL query to retrieve data from multiple tables using a self-join.
5.โ  โ Explain the concept of correlated subqueries.

SQL Data Modeling

1.โ  โ Explain the concept of normalization and denormalization.
2.โ  โ How do you design a database schema for a given application?
3.โ  โ What is data redundancy, and how do you avoid it?
4.โ  โ Explain the concept of primary and foreign keys.
5.โ  โ How do you handle data inconsistencies and anomalies?

SQL Advanced Questions

1.โ  โ Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2.โ  โ Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3.โ  โ How do you use dynamic SQL?
4.โ  โ Explain the concept of stored procedures and functions.
5.โ  โ Write a SQL query to retrieve data using pivot tables.

SQL Scenario-Based Questions

1.โ  โ You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2.โ  โ You have a table with duplicate records. Write a SQL query to remove duplicates.
3.โ  โ You have a table with missing values. Write a SQL query to replace missing values with a default value.
4.โ  โ You have a table with data in an incorrect format. Write a SQL query to correct the format.
5.โ  โ You have two tables with different data types for a common column. Write a SQL query to join the tables.

SQL Behavioral Questions

1.โ  โ Can you explain a time when you optimized a slow-running SQL query?
2.โ  โ How do you handle database errors and exceptions?
3.โ  โ Can you describe a complex SQL query you wrote and why?
4.โ  โ How do you stay up-to-date with new SQL features and best practices?
5.โ  โ Can you walk me through your process for troubleshooting SQL issues?

Best Resources to learn SQL ๐Ÿ‘‡

SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)

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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 ๐Ÿ‘๐Ÿ‘

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John the Ripper (https://github.com/magnumripper/JohnTheRipper)
C
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Parallelized login cracker which supports numerous protocols to attack.

Zero Trust Hackers (https://t.me/zerotrusthackers)
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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
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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

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Free PHP Courses for Web Developer
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1. HTML & CSS:- htmlcheatsheet.com

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3. Jquery - https://oscarotero.com/jquery/

4. Bootstrap 5:- https://lnkd.in/dNZ6qdBh

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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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Passive Income Ideas for Developers
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๐Ÿ‘1
Tableau Cheat Sheet โœ…

This Tableau cheatsheet is designed to be your quick reference guide for data visualization and analysis using Tableau. Whether youโ€™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

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Data Analyst Checklist
https://t.me/dataanalysisresourcestp/99

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