Python2基礎+數(shù)據(jù)分析

第一章Python基礎,,,,

"45'32""

1.1、Python入門","45'32""",,"""",√

"51'16""

1.2、數(shù)據(jù)類型","51'16""",,"""",√

"58'9""

1.3、數(shù)據(jù)類型——字符串","58'9""",,"""",√

"38'9""

1.4、輸入輸出","38'9""",,"""",√

"14'57""

1.5、綜合數(shù)據(jù)類型之列表（1）","14'57""",,"""",√

"4'34""

1.6、綜合數(shù)據(jù)類型之列表（2）","4'34""",,"""",√

"26'36""

1.7、綜合數(shù)據(jù)類型之元祖+字典","26'36""",,"""",√

"32'58""

1.8、綜合數(shù)據(jù)類型之字典方法+序列化","32'58""",,"""",√

第二章Python控制語句與函數(shù),,,,

"44'41""

2.1、分支結構","44'41""",,"""",√

"37'2""

2.2、循環(huán)結構練習題","37'2""",,"""",√

"26'54""

2.3、練習題第二波","26'54""",,"""",√

"47'54""

2.4、練習題第三波+函數(shù)","47'54""",,"""",√

"45'20""

2.5、函數(shù)練習+基礎算法","45'20""",,"""",√

"12'55""

2.6、算法練習","12'55""",,"""",√

"29'37""

2.7、異常","29'37""",,"""",√

第三章Lambda表達式、裝飾器和Python模塊化開發(fā),,,,

"47'8""

3.1、匿名函數(shù)1","47'8""",,"""",√

"36'28""

3.2、匿名函數(shù)2","36'28""",,"""",√

"30'52""

3.3、函數(shù)裝飾器講解","30'52""",,"""",√

"47'19""

3.4、模塊化開發(fā)","47'19""",,"""",√

"20'3""

3.5、sys和os","20'3""",,"""",√

"13'39""

3.6、IO操作","13'39""",,"""",√

"49'19""

3.7、模塊——時間","49'19""",,"""",√

"15'5""

3.8、模塊之數(shù)學運算","15'5""",,"""",√

第四章Python類與對象,,,,

"33'47""

4.1、類的定義","33'47""",,"""",√

"33'31""

4.2、數(shù)據(jù)屬性","33'31""",,"""",√

"57'30""

4.3、數(shù)據(jù)封裝","57'30""",,"""",√

"18'49""

4.4、命名空間和作用域","18'49""",,"""",√

"27'28""

4.5、繼承1","27'28""",,"""",√

"25'34""

4.6、繼承2","25'34""",,"""",√

第五章Python數(shù)據(jù)庫操作+正則表達式,,,,

"59'31""

5.1、數(shù)據(jù)庫操作","59'31""",,"""",√

"62'38""

5.2、正則表達式","62'38""",,"""",√

"21'45""

5.3、正則表達式練習","21'45""",,"""",√

第六章Python數(shù)據(jù)分析,,,,

"2'41""

6.1、Anconda安裝","2'41""",,"""",√

"17'47""

6.2、JupyterNoteBook","17'47""",,"""",√

"29'13""

6.3、Numpy介紹+ndarry","29'13""",,"""",√

"7'1""

6.4、ndarry的shape屬性巧算","7'1""",,"""",√

"24'18""

6.5、NumPy中的數(shù)據(jù)類型","24'18""",,"""",√

"5'51""

6.6、NumPy數(shù)據(jù)類型2","5'51""",,"""",√

"32'55""

6.7、Numpy基本操作","32'55""",,"""",√

"21'30""

6.8、索引和切片","21'30""",,"""",√

"17'22""

6.9、索引和切片（2）","17'22""",,"""",√

"4'16""

6.10、數(shù)組轉制與軸兌換","4'16""",,"""",√

"22'21""

6.11、通用函數(shù)","22'21""",,"""",√

"15'27""

6.12、np.where函數(shù)","15'27""",,"""",√

"5'42""

6.13、np.unique函數(shù)","5'42""",,"""",√

"30'2""

6.14、數(shù)組數(shù)據(jù)文件讀取","30'2""",,"""",√

"11'22""

6.15、Pandas介紹","11'22""",,"""",√

"34'56""

6.16、Series","34'56""",,"""",√

"4'50""

6.17、索引對象","4'50""",,"""",√

"17'36""

6.18、DataFrame","17'36""",,"""",√

"33'49""

6.19、Pandas常用操作（1）","33'49""",,"""",√

"27'13""

6.20、Pandas常用操作（2）","27'13""",,"""",√

"27'4""

6.21、缺失值處理","27'4""",,"""",√

"37'5""

6.22、pandas制圖","37'5""",,"""",√

"28'14""

6.23、Matplotli