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Master Sql With The Query Guide

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Unlock the power of SQL, effortlessly! Whether you're a beginner or just brushing up, this prompt is your all-in-one SQL playbook. Get both simple and intricate SQLite queries, broken down for easy understanding. Visualize results with Markdown tables, ready for Obsidian or VS Code. Each query includes in-depth explanations and inline comments. Navigate and learn faster with tags like #SQLBeginner and #SQLite. Why struggle when you can learn SQL the smart way?
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Over 1 month ago

Prompt Details

Model
Chat - GPT-4 (gpt-4)
Token size
162 ($0.00490 / call)
Example input
User: [Prompt] Chat: Understood. Once you provide the first question, I'll generate a beginner-friendly SQL query for SQLite, complete with simplified questions, explanations, and sample results. User: How do I find the names and ages of all employees in the "Sales" department?
Example output
### How do I find the names and ages of all employees in the "Sales" department? To find the names and ages of all employees working in the "Sales" department, you can use a simple SQL `SELECT` query. This query will filter the rows based on the condition that the department should be "Sales" and will only show the `name` and `age` columns. #### SQL Query ```sql -- Find the names and ages of all employees in the "Sales" department SELECT name, age FROM employees WHERE department = 'Sales'; ``` #### Brief Explanation - `SELECT name, age`: Selects the columns `name` and `age` from the table. - `FROM employees`: Specifies the table from which to select the data, in this case, the `employees` table. - `WHERE department = 'Sales'`: Adds a condition to filter the rows; only rows where the `department` is "Sales" will be returned. #### Sample Results | name | age | |-------|-----| | Alice | 29 | | Bob | 35 | | Carol | 42 | --- **Helpful Tags**: `#SQLBeginner`, `#SQLite`, `#QueryExamples` **Sample Markdown Table for Output:** | Name | Age | |-------|-----| | Alice | 29 | | Bob | 35 | **Explanation:** This query selects the `name` and `age` columns from the `employees` table where the `department` is 'Sales'. **Tags:** `#SQLBeginner`, `#SQLite`, `#QueryExamples`
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