Update Rows Based On Another Table
Create Table Of Elves
- Create table called elves
CREATE TABLE elves (
- string variable
name varchar(255),
- integer variable
age int,
- string variable
race varchar(255),
- string variable
alive varchar(255)
)Create Table Of Deaths
- Create table called deaths
CREATE TABLE deaths (
- string variable
name varchar(255)
)Insert Rows Into Elf Table
INSERT INTO elves (name, age, race, alive)
VALUES ('Dallar Woodfoot', 25, 'Elf', 'Yes'),
('Cordin Garner', 29, 'Elf', 'Yes'),
('Keat Knigh', 24, 'Elf', 'Yes'),
('Colbat Nalor', 124, 'Elf', 'Yes')Insert Rows Into Deaths Table
INSERT INTO deaths (name)
VALUES ('Keat Knigh'),
('Colbat Nalor')View Elves Table
- Retrieve all rows from the view Elf
SELECT * FROM elves| name | age | race | alive |
|---|---|---|---|
| Dallar Woodfoot | 25 | Elf | Yes |
| Cordin Garner | 29 | Elf | Yes |
| Keat Knigh | 24 | Elf | Yes |
| Colbat Nalor | 124 | Elf | Yes |
Update Rows Based On Another Table
- Change the value in elves
UPDATE elves
- to set alive to "No"
SET alive = 'No'
- Where the name of the elf is in the list of deaths
WHERE elves.name in (SELECT deaths.name FROM deaths)View Elves Table
- Retrieve all rows from the view Elf
SELECT * FROM elves| name | age | race | alive |
|---|---|---|---|
| Dallar Woodfoot | 25 | Elf | Yes |
| Cordin Garner | 29 | Elf | Yes |
| Keat Knigh | 24 | Elf | No |
| Colbat Nalor | 124 | Elf | No |
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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