SQL 快速参考
| SQL 语句 | 语法 |
|---|---|
| AND / OR | SELECT column_name(s) FROM table_name WHERE condition AND|OR condition |
| ALTER TABLE | ALTER TABLE table_name ADD column_name datatype or ALTER TABLE table_name |
| AS (alias) | SELECT column_name AS column_alias FROM table_name or SELECT column_name |
| BETWEEN | SELECT column_name(s) FROM table_name WHERE column_name BETWEEN value1 AND value2 |
| CREATE DATABASE | CREATE DATABASE database_name |
| CREATE TABLE | CREATE TABLE table_name ( column_name1 data_type, column_name2 data_type, column_name2 data_type, ... ) |
| CREATE INDEX | CREATE INDEX index_name ON table_name (column_name) or CREATE UNIQUE INDEX index_name |
| CREATE VIEW | CREATE VIEW view_name AS SELECT column_name(s) FROM table_name WHERE condition |
| DELETE | DELETE FROM table_name WHERE some_column=some_value or DELETE FROM table_name DELETE * FROM table_name |
| DROP DATABASE | DROP DATABASE database_name |
| DROP INDEX | DROP INDEX table_name.index_name (SQL
Server) DROP INDEX index_name ON table_name (MS Access) DROP INDEX index_name (DB2/Oracle) ALTER TABLE table_name DROP INDEX index_name (MySQL) |
| DROP TABLE | DROP TABLE table_name |
| GROUP BY | SELECT column_name,
aggregate_function(column_name) FROM table_name WHERE column_name operator value GROUP BY column_name |
| HAVING | SELECT column_name,
aggregate_function(column_name) FROM table_name WHERE column_name operator value GROUP BY column_name HAVING aggregate_function(column_name) operator value |
| IN | SELECT column_name(s) FROM table_name WHERE column_name IN (value1,value2,..) |
| INSERT INTO | INSERT INTO table_name VALUES (value1, value2, value3,....) or INSERT INTO table_name |
| INNER JOIN | SELECT column_name(s) FROM table_name1 INNER JOIN table_name2 ON table_name1.column_name=table_name2.column_name |
| LEFT JOIN | SELECT column_name(s) FROM table_name1 LEFT JOIN table_name2 ON table_name1.column_name=table_name2.column_name |
| RIGHT JOIN | SELECT column_name(s) FROM table_name1 RIGHT JOIN table_name2 ON table_name1.column_name=table_name2.column_name |
| FULL JOIN | SELECT column_name(s) FROM table_name1 FULL JOIN table_name2 ON table_name1.column_name=table_name2.column_name |
| LIKE | SELECT column_name(s) FROM table_name WHERE column_name LIKE pattern |
| ORDER BY | SELECT column_name(s) FROM table_name ORDER BY column_name [ASC|DESC] |
| SELECT | SELECT column_name(s) FROM table_name |
| SELECT * | SELECT * FROM table_name |
| SELECT DISTINCT | SELECT DISTINCT column_name(s) FROM table_name |
| SELECT INTO | SELECT * INTO new_table_name [IN externaldatabase] FROM old_table_name or SELECT column_name(s) |
| SELECT TOP | SELECT TOP number|percent column_name(s) FROM table_name |
| TRUNCATE TABLE | TRUNCATE TABLE table_name |
| UNION | SELECT column_name(s) FROM table_name1 UNION SELECT column_name(s) FROM table_name2 |
| UNION ALL | SELECT column_name(s) FROM table_name1 UNION ALL SELECT column_name(s) FROM table_name2 |
| UPDATE | UPDATE table_name SET column1=value, column2=value,... WHERE some_column=some_value |
| WHERE | SELECT column_name(s) FROM table_name WHERE column_name operator value |
点击查看所有 SQL 教程 文章: https://www.codercto.com/courses/l/29.html
Python科学计算(第2版)
张若愚 / 清华大学出版社 / 2016-4-29 / 118
本书介绍如何用 Python 开发科学计算的应用程序，除了介绍数值计算之外，还着重介绍了如何制作交互式二维、三维图像，如何设计精巧的程序界面，如何与 C 语言编写的高速计算程序结合，如何编写声音、图像处理算法等内容。本书采用 IPython notebook 编写，所有的程序均能在本书提供的运行环境中正常运行，书中所印刷的图表以及程序输出为均为自动运行的结果，保证了书中所有程序的正确性以及可读性。......一起来看看 《Python科学计算(第2版)》 这本书的介绍吧!
