谨以此书献给我亲爱的家人;Python部分利用到了Numpy,Matplotlib,Sympy等Library.。建议新手安装Enthought的 Canopy Python Distribution ,本书中用到的Library就都满足了。推荐的函数库调用方法: import numpy as np;import matplotlib.pyplot as plt;import sympy。
SHOW FULL COLUMNS FROM `ls_goods_category` [ RunTime:0.000530s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`is_show`,`is_recommend` FROM `ls_goods_category` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 1 ORDER BY `id` ASC,`sort` DESC [ RunTime:0.000281s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`is_show`,`is_recommend` FROM `ls_goods_category` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 2 ORDER BY `id` ASC,`sort` DESC [ RunTime:0.000401s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`is_show`,`is_recommend` FROM `ls_goods_category` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 3 ORDER BY `sort` DESC [ RunTime:0.000243s ]
SHOW FULL COLUMNS FROM `ls_nav` [ RunTime:0.000516s ]
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SELECT `id`,`name`,`pid`,`image`,`level`,`link`,`module`,`is_show`,`is_recommend` FROM `ls_nav` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 2 ORDER BY `id` ASC,`sort` DESC [ RunTime:0.000219s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`link`,`module`,`is_show`,`is_recommend` FROM `ls_nav` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 3 ORDER BY `sort` DESC [ RunTime:0.000162s ]
SHOW FULL COLUMNS FROM `ls_friendly_link` [ RunTime:0.000363s ]
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SHOW FULL COLUMNS FROM `ls_goods` [ RunTime:0.000454s ]
SELECT * FROM `ls_goods` WHERE `id` = 64687 AND `status` = 1 LIMIT 1 [ RunTime:0.000312s ]
UPDATE `ls_goods` SET `click_count` = 449 , `update_time` = 1766344710 WHERE `id` = 64687 [ RunTime:0.000263s ]
SELECT `name`,`first_category_id`,`second_category_id` FROM `ls_goods` WHERE `id` = 64687 LIMIT 1 [ RunTime:0.000195s ]
SELECT `id`,`name` FROM `ls_goods_category` WHERE `id` = 35 LIMIT 1 [ RunTime:0.000135s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`is_show`,`is_recommend` FROM `ls_goods_category` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 1 ORDER BY `id` ASC,`sort` DESC [ RunTime:0.000242s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`is_show`,`is_recommend` FROM `ls_goods_category` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 2 ORDER BY `id` ASC,`sort` DESC [ RunTime:0.000258s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`is_show`,`is_recommend` FROM `ls_goods_category` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 3 ORDER BY `sort` DESC [ RunTime:0.000194s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`link`,`module`,`is_show`,`is_recommend` FROM `ls_nav` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 1 ORDER BY `id` ASC,`sort` DESC [ RunTime:0.000316s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`link`,`module`,`is_show`,`is_recommend` FROM `ls_nav` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 2 ORDER BY `id` ASC,`sort` DESC [ RunTime:0.000214s ]
SELECT `id`,`name`,`pid`,`image`,`level`,`link`,`module`,`is_show`,`is_recommend` FROM `ls_nav` WHERE `is_show` = 1 AND `del` = 0 AND `level` = 3 ORDER BY `sort` DESC [ RunTime:0.000190s ]
SELECT * FROM `ls_friendly_link` WHERE `is_show` = 1 AND `del` = 0 ORDER BY `id` DESC,`sort` DESC [ RunTime:0.000213s ]
SELECT `id`,`name` FROM `ls_goods_category` WHERE `id` = 3 LIMIT 1 [ RunTime:0.000188s ]
SELECT `id`,`name` FROM `ls_goods_category` WHERE `id` = 35 LIMIT 1 [ RunTime:0.000129s ]
SELECT * FROM `ls_goods` WHERE `del` = 0 AND `status` = 1 AND `create_time` <= 1766344650 ORDER BY `create_time` DESC LIMIT 5 [ RunTime:0.257821s ]