搜索
[DesireCourse.Net] Udemy - Complete Data Analysis Course with Pandas & NumPy Python
磁力链接/BT种子名称
[DesireCourse.Net] Udemy - Complete Data Analysis Course with Pandas & NumPy Python
磁力链接/BT种子简介
种子哈希:
21a25e85f29bd2f9639ea3f63ff380679638af4f
文件大小:
4.21G
已经下载:
891
次
下载速度:
极快
收录时间:
2022-03-23
最近下载:
2025-07-20
移花宫入口
移花宫.com
邀月.com
怜星.com
花无缺.com
yhgbt.icu
yhgbt.top
磁力链接下载
magnet:?xt=urn:btih:21A25E85F29BD2F9639EA3F63FF380679638AF4F
推荐使用
PIKPAK网盘
下载资源,10TB超大空间,不限制资源,无限次数离线下载,视频在线观看
下载BT种子文件
磁力链接
迅雷下载
PIKPAK在线播放
世界之窗
91视频
含羞草
欲漫涩
逼哩逼哩
成人快手
51品茶
抖阴破解版
极乐禁地
91短视频
TikTok成人版
PornHub
草榴社区
哆哔涩漫
呦乐园
萝莉岛
最近搜索
小晚上
ののか
探花 学妹
校花 高潮
brazzers
颜射吞精
男领导
大长腿探花
极品白浆
マニア
瘦猴子探花
射了又射
【王祖贤四川分贤】
美乳丰臀
呻吟声是亮
王红
指挥
油丝袜
写真
[小柔]
不要停
校外
优雅气质尤物御姐女神 纤纤美腿玲珑身段劲爆完美身材 视觉党福利
小蜜桃
女友在ktv工作受环境影响
极品巨乳
艺术院校
浜崎真緒
日本小学
欲桃
文件列表
9. Pandas Exercise/2. Pandas Exercise Solution - I.mp4
139.4 MB
9. Pandas Exercise/3. Pandas Exercise Solution - II.mp4
138.1 MB
5. Python Exercises/2. Solutions.mp4
114.7 MB
1. Introduction/1. What is Data analysis.mp4
100.4 MB
6. Numpy/2. Numpy indexing and selection, Functions.mp4
98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4
95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4
90.5 MB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4
89.6 MB
6. Numpy/1. Creating NumPy array.mp4
89.3 MB
8. Data Frame Pandas/13. sorting values.mp4
88.9 MB
8. Data Frame Pandas/3. Data frame attributes and methods.mp4
87.5 MB
1. Introduction/2. Introduction to Pandas.mp4
82.2 MB
8. Data Frame Pandas/15. .loc() and .iloc() method.mp4
78.7 MB
2. Installation and IDE/7. Getting started with Jupyter Lab.mp4
78.6 MB
1. Introduction/3. Course FAQ.mp4
77.2 MB
8. Data Frame Pandas/1. Introduction to Data Frame.mp4
76.6 MB
14. Working with Text Data/3. More String methods.mp4
74.4 MB
8. Data Frame Pandas/8. Filtering Data with one condition.mp4
71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4
69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4
66.9 MB
4. Python Crash Course [Optional]/6. Lists and tuples.mp4
65.8 MB
6. Numpy/3. Some more Numpy Functions.mp4
64.9 MB
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.mp4
64.7 MB
6. Numpy/8. Split, Concatenate, Tile and Repeat array.mp4
62.8 MB
7. Series Pandas/6. Series attributes & methods.mp4
61.2 MB
2. Installation and IDE/4. Anaconda + Conda Command.mp4
59.9 MB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.mp4
59.1 MB
8. Data Frame Pandas/20. .apply() method on multiple column.mp4
58.3 MB
2. Installation and IDE/1. Different ways of installation.mp4
56.0 MB
7. Series Pandas/2. Introduction to Series.mp4
54.0 MB
6. Numpy/5. List vs NumPy Array.mp4
53.6 MB
16. Data Frame Multiindex/7. Transposing DataFrame.mp4
53.5 MB
8. Data Frame Pandas/17. .astype() method - optimize memory requirement.mp4
52.3 MB
4. Python Crash Course [Optional]/2. Python Basics - I.mp4
52.3 MB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.mp4
51.1 MB
16. Data Frame Multiindex/8. UnStack and Stack Data.mp4
51.0 MB
15. Data Grouping/1. Importing Data Grouping.mp4
50.9 MB
15. Data Grouping/4. Sum, Mean, Max, Min Method.mp4
50.7 MB
7. Series Pandas/4. Create Series from CSV file.mp4
50.5 MB
7. Series Pandas/3. Create Series from Python Object.mp4
50.0 MB
2. Installation and IDE/2. Download and Install anaconda + Pandas.mp4
48.9 MB
6. Numpy/7. Insert, Append and Delete NumPy array.mp4
47.4 MB
8. Data Frame Pandas/5. Select one or more than one column.mp4
47.0 MB
14. Working with Text Data/1. Getting started with Data.mp4
46.6 MB
6. Numpy/4. Linear algebra with NumPy.mp4
46.0 MB
14. Working with Text Data/2. Some String methods.mp4
45.5 MB
14. Working with Text Data/4. Filtering Message with String.mp4
43.4 MB
16. Data Frame Multiindex/4. Index - Meta Information.mp4
41.3 MB
15. Data Grouping/5. .agg method.mp4
41.2 MB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.mp4
41.0 MB
16. Data Frame Multiindex/9. Pivot and Pivot_table Method.mp4
40.8 MB
8. Data Frame Pandas/9. Filtering Data with multiple condition.mp4
40.7 MB
8. Data Frame Pandas/14. sort index and inplace parameter.mp4
39.5 MB
15. Data Grouping/2. Getting Group.mp4
39.2 MB
8. Data Frame Pandas/10. Filtering Data with .isin() method.mp4
39.0 MB
17. Working with Time series data/1. Python Date and Datetime module.mp4
37.9 MB
8. Data Frame Pandas/7. Drop missing row or column.mp4
37.7 MB
4. Python Crash Course [Optional]/8. Dictionary and set.mp4
37.0 MB
8. Data Frame Pandas/19. .apply() method on single column.mp4
36.4 MB
6. Numpy/6. Views vs Copy - Numpy Array.mp4
36.4 MB
4. Python Crash Course [Optional]/1. Introduction.mp4
35.9 MB
8. Data Frame Pandas/18. set_index() change index column.mp4
35.9 MB
7. Series Pandas/10. inplace parameter, sort_values & sort_index.mp4
35.0 MB
7. Series Pandas/16. .apply() and .map() method.mp4
34.9 MB
16. Data Frame Multiindex/3. Sorting MultiIndex.mp4
33.6 MB
15. Data Grouping/3. Size, First and Last Method.mp4
32.6 MB
8. Data Frame Pandas/4. Adding new column.mp4
32.0 MB
8. Data Frame Pandas/12. unique() & nunique() method.mp4
31.4 MB
14. Working with Text Data/5. Splitting Text.mp4
30.9 MB
5. Python Exercises/1. Exercise Overview.mp4
30.6 MB
8. Data Frame Pandas/21. Fetch random sample.mp4
30.4 MB
9. Pandas Exercise/1. Exercise Overview Google App store dataset.mp4
30.1 MB
8. Data Frame Pandas/11. Filtering Data with .between() method.mp4
29.9 MB
8. Data Frame Pandas/6. Broadcasting operation.mp4
29.8 MB
4. Python Crash Course [Optional]/4. Python Basics - II.mp4
29.6 MB
4. Python Crash Course [Optional]/10. Functions.mp4
27.7 MB
7. Series Pandas/13. Extract Value from Series.mp4
27.0 MB
2. Installation and IDE/9. Import Library.mp4
24.7 MB
16. Data Frame Multiindex/2. Set multiple column as index.mp4
24.5 MB
8. Data Frame Pandas/16. .ix() method.mp4
23.1 MB
7. Series Pandas/8. Label indexing.mp4
20.4 MB
18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.mp4
19.4 MB
7. Series Pandas/12. Apply Python built in function on Series.mp4
14.6 MB
3. Code Download/1.1 code.zip.zip
14.3 MB
3. Code Download/1.2 code.zip.zip
14.3 MB
11. Pandas Options/2. precision.mp4
13.7 MB
16. Data Frame Multiindex/5. Change Index names.mp4
10.7 MB
14. Working with Text Data/6. Processing on Column names.mp4
10.6 MB
16. Data Frame Multiindex/1. Import Data - Multiindex.mp4
10.0 MB
10. Panel Pandas/1. Warning - Panel Data type.mp4
9.0 MB
7. Series Pandas/15. .value_counts() Method.mp4
8.1 MB
3. Code Download/1.1 Pandas.pdf.pdf
665.9 kB
3. Code Download/1.2 Pandas.pdf.pdf
665.9 kB
9. Pandas Exercise/1.1 Pandas Exercise.zip.zip
317.0 kB
18. Data cleaning/1.1 Data Cleaning.zip.zip
267.3 kB
8. Data Frame Pandas/2.1 Read_CSV.pdf.pdf
109.9 kB
8. Data Frame Pandas/5.1 Select Column.pdf.pdf
87.3 kB
6. Numpy/1.1 Numpy.zip.zip
52.0 kB
6. Numpy/1.2 Numpy.zip.zip
52.0 kB
6. Numpy/1.3 Numpy.zip.zip
52.0 kB
5. Python Exercises/2. Solutions.vtt
22.4 kB
6. Numpy/1. Creating NumPy array.vtt
18.1 kB
6. Numpy/2. Numpy indexing and selection, Functions.vtt
17.8 kB
4. Python Crash Course [Optional]/6. Lists and tuples.vtt
17.6 kB
4. Python Crash Course [Optional]/2. Python Basics - I.vtt
17.6 kB
9. Pandas Exercise/2. Pandas Exercise Solution - I.vtt
17.2 kB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.vtt
17.1 kB
9. Pandas Exercise/3. Pandas Exercise Solution - II.vtt
15.9 kB
8. Data Frame Pandas/15. .loc() and .iloc() method.vtt
15.5 kB
2. Installation and IDE/7. Getting started with Jupyter Lab.vtt
15.2 kB
14. Working with Text Data/3. More String methods.vtt
14.9 kB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.vtt
14.5 kB
7. Series Pandas/6. Series attributes & methods.vtt
14.0 kB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.vtt
13.9 kB
8. Data Frame Pandas/3. Data frame attributes and methods.vtt
13.7 kB
6. Numpy/3. Some more Numpy Functions.vtt
13.1 kB
6. Numpy/8. Split, Concatenate, Tile and Repeat array.vtt
13.1 kB
6. Numpy/5. List vs NumPy Array.vtt
12.5 kB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.vtt
12.3 kB
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.vtt
12.2 kB
7. Series Pandas/3. Create Series from Python Object.vtt
11.8 kB
4. Python Crash Course [Optional]/8. Dictionary and set.vtt
11.7 kB
8. Data Frame Pandas/8. Filtering Data with one condition.vtt
11.6 kB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.vtt
10.9 kB
6. Numpy/7. Insert, Append and Delete NumPy array.vtt
10.9 kB
17. Working with Time series data/3. Generate Time sequence.vtt
10.7 kB
8. Data Frame Pandas/13. sorting values.vtt
10.5 kB
11. Pandas Options/1. max_rows , max_columns.vtt
10.3 kB
11. Pandas Options/1.1 Pandas Settings.zip.zip
10.2 kB
7. Series Pandas/4. Create Series from CSV file.vtt
10.2 kB
6. Numpy/4. Linear algebra with NumPy.vtt
9.7 kB
7. Series Pandas/16. .apply() and .map() method.vtt
9.4 kB
8. Data Frame Pandas/7. Drop missing row or column.vtt
9.1 kB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.vtt
9.1 kB
8. Data Frame Pandas/20. .apply() method on multiple column.vtt
9.0 kB
4. Python Crash Course [Optional]/4. Python Basics - II.vtt
9.0 kB
2. Installation and IDE/9. Import Library.vtt
8.9 kB
8. Data Frame Pandas/17. .astype() method - optimize memory requirement.vtt
8.8 kB
2. Installation and IDE/4. Anaconda + Conda Command.vtt
8.7 kB
14. Working with Text Data/2. Some String methods.vtt
8.6 kB
16. Data Frame Multiindex/7. Transposing DataFrame.vtt
8.6 kB
7. Series Pandas/10. inplace parameter, sort_values & sort_index.vtt
8.5 kB
6. Numpy/6. Views vs Copy - Numpy Array.vtt
8.3 kB
4. Python Crash Course [Optional]/10. Functions.vtt
8.3 kB
17. Working with Time series data/1. Python Date and Datetime module.vtt
8.2 kB
16. Data Frame Multiindex/8. UnStack and Stack Data.vtt
8.2 kB
8. Data Frame Pandas/5. Select one or more than one column.vtt
7.9 kB
15. Data Grouping/4. Sum, Mean, Max, Min Method.vtt
7.9 kB
14. Working with Text Data/4. Filtering Message with String.vtt
7.8 kB
15. Data Grouping/5. .agg method.vtt
7.6 kB
2. Installation and IDE/2. Download and Install anaconda + Pandas.vtt
7.5 kB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.vtt
7.3 kB
7. Series Pandas/13. Extract Value from Series.vtt
7.3 kB
16. Data Frame Multiindex/9. Pivot and Pivot_table Method.vtt
7.1 kB
8. Data Frame Pandas/9. Filtering Data with multiple condition.vtt
7.1 kB
15. Data Grouping/2. Getting Group.vtt
6.9 kB
8. Data Frame Pandas/19. .apply() method on single column.vtt
6.3 kB
1. Introduction/1. What is Data analysis.vtt
6.2 kB
14. Working with Text Data/5. Splitting Text.vtt
6.2 kB
16. Data Frame Multiindex/4. Index - Meta Information.vtt
6.1 kB
16. Data Frame Multiindex/3. Sorting MultiIndex.vtt
6.0 kB
8. Data Frame Pandas/10. Filtering Data with .isin() method.vtt
5.9 kB
15. Data Grouping/3. Size, First and Last Method.vtt
5.9 kB
14. Working with Text Data/1. Getting started with Data.vtt
5.9 kB
8. Data Frame Pandas/14. sort index and inplace parameter.vtt
5.7 kB
15. Data Grouping/1. Importing Data Grouping.vtt
5.6 kB
1. Introduction/3. Course FAQ.vtt
5.6 kB
18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.vtt
5.4 kB
8. Data Frame Pandas/12. unique() & nunique() method.vtt
5.3 kB
5. Python Exercises/1. Exercise Overview.vtt
5.1 kB
8. Data Frame Pandas/1. Introduction to Data Frame.vtt
5.1 kB
7. Series Pandas/8. Label indexing.vtt
5.0 kB
8. Data Frame Pandas/21. Fetch random sample.vtt
5.0 kB
8. Data Frame Pandas/18. set_index() change index column.vtt
4.9 kB
16. Data Frame Multiindex/2. Set multiple column as index.vtt
4.9 kB
8. Data Frame Pandas/16. .ix() method.vtt
4.7 kB
1. Introduction/2. Introduction to Pandas.vtt
4.6 kB
8. Data Frame Pandas/6. Broadcasting operation.vtt
4.4 kB
10. Panel Pandas/1. Warning - Panel Data type.vtt
4.3 kB
8. Data Frame Pandas/11. Filtering Data with .between() method.vtt
4.2 kB
8. Data Frame Pandas/4. Adding new column.vtt
4.2 kB
9. Pandas Exercise/1. Exercise Overview Google App store dataset.vtt
3.8 kB
2. Installation and IDE/1. Different ways of installation.vtt
3.4 kB
7. Series Pandas/2. Introduction to Series.vtt
3.2 kB
4. Python Crash Course [Optional]/1.1 Python Crash Course.zip.zip
3.2 kB
7. Series Pandas/12. Apply Python built in function on Series.vtt
3.2 kB
16. Data Frame Multiindex/1. Import Data - Multiindex.vtt
3.0 kB
11. Pandas Options/2. precision.vtt
2.9 kB
5. Python Exercises/1.1 Python Exercise.zip.zip
2.8 kB
4. Python Crash Course [Optional]/1. Introduction.vtt
2.4 kB
14. Working with Text Data/6. Processing on Column names.vtt
2.3 kB
7. Series Pandas/15. .value_counts() Method.vtt
2.1 kB
16. Data Frame Multiindex/5. Change Index names.vtt
1.6 kB
2. Installation and IDE/3. Troubleshooting 'conda' is not recognized as an internal or external command.html
1.1 kB
20. Bonus Lecture/1. Bonus Lecture.html
664 Bytes
2. Installation and IDE/9.1 Import Library.zip.zip
526 Bytes
2. Installation and IDE/9.2 Import Library.zip.zip
526 Bytes
2. Installation and IDE/9.3 Import Library.zip.zip
526 Bytes
2. Installation and IDE/6. anaconda, conda & pandas Update.html
412 Bytes
7. Series Pandas/1. Series.html
380 Bytes
2. Installation and IDE/5. Conda Cheatsheet.html
321 Bytes
2. Installation and IDE/8. Jupyter Notebook cheatsheet.html
290 Bytes
19. Appendix Numpy - Numerical Python Library/1. Notes.html
222 Bytes
7. Series Pandas/15.1 Pandas value_count method.html
173 Bytes
2. Installation and IDE/5.1 Conda Cheatsheet.html
171 Bytes
7. Series Pandas/16.1 Pandas.Series.map.html
160 Bytes
7. Series Pandas/16.2 Pandas.Series.map.html
160 Bytes
8. Data Frame Pandas/9.1 Truth Table for AND and OR operation.html
157 Bytes
2. Installation and IDE/8.1 Jupyter Notebook cheatsheet.html
150 Bytes
7. Series Pandas/10.1 sorting.html
150 Bytes
7. Series Pandas/10.2 sorting.html
150 Bytes
7. Series Pandas/10.1 sorting index.html
149 Bytes
7. Series Pandas/10.2 sorting index.html
149 Bytes
6. Numpy/1.1 NumPy cheatsheet.html
146 Bytes
6. Numpy/1.2 NumPy cheatsheet.html
146 Bytes
6. Numpy/1.3 NumPy cheatsheet.html
146 Bytes
7. Series Pandas/16.1 Pandas.Series.apply.html
144 Bytes
7. Series Pandas/16.2 Pandas.Series.apply.html
144 Bytes
7. Series Pandas/4.1 Read CSV file.html
140 Bytes
7. Series Pandas/3.1 Series constructor.html
138 Bytes
1. Introduction/4. Pandas.html
136 Bytes
12. Visualize Data with Pandas/3. Data Visualization.html
136 Bytes
2. Installation and IDE/10. Installation.html
136 Bytes
4. Python Crash Course [Optional]/11. Python - 1.html
136 Bytes
4. Python Crash Course [Optional]/12. Python - 2.html
136 Bytes
4. Python Crash Course [Optional]/3. Data types, Numbers, String.html
136 Bytes
4. Python Crash Course [Optional]/5. Loops & Decision making.html
136 Bytes
4. Python Crash Course [Optional]/7. Lists and tuples.html
136 Bytes
4. Python Crash Course [Optional]/9. Dictionary and set.html
136 Bytes
6. Numpy/9. NumPy.html
136 Bytes
7. Series Pandas/11. inplace parameter, sort_values & sort_index.html
136 Bytes
7. Series Pandas/14. Extract Value from Series.html
136 Bytes
7. Series Pandas/17. .apply() and .map() method.html
136 Bytes
7. Series Pandas/18. Series.html
136 Bytes
7. Series Pandas/5. Create Series Object.html
136 Bytes
7. Series Pandas/7. Series attributes & methods.html
136 Bytes
7. Series Pandas/9. Label indexing.html
136 Bytes
2. Installation and IDE/6.1 Updating from older versions.html
119 Bytes
6. Numpy/1.1 Numpy Quick tutorial.html
114 Bytes
6. Numpy/1.3 Numpy Quick tutorial.html
114 Bytes
2. Installation and IDE/2.1 Windows Installation.html
112 Bytes
2. Installation and IDE/2.2 Windows Installation.html
112 Bytes
2. Installation and IDE/2.3 Windows Installation.html
112 Bytes
2. Installation and IDE/2.4 Windows Installation.html
112 Bytes
2. Installation and IDE/2.1 MacOS installation.html
111 Bytes
2. Installation and IDE/2.3 MacOS installation.html
111 Bytes
2. Installation and IDE/2.4 MacOS installation.html
111 Bytes
2. Installation and IDE/2.2 Linux Installation.html
110 Bytes
2. Installation and IDE/2.3 Linux Installation.html
110 Bytes
2. Installation and IDE/2.4 Linux Installation.html
110 Bytes
2. Installation and IDE/9.1 Python Import Documentation.html
108 Bytes
2. Installation and IDE/9.3 Python Import Documentation.html
108 Bytes
2. Installation and IDE/9.2 Pandas Documentation.html
106 Bytes
2. Installation and IDE/9.3 Pandas Documentation.html
106 Bytes
2. Installation and IDE/7.1 Jupyter Lab Documentation.html
105 Bytes
3. Code Download/1. Python Code.html
103 Bytes
2. Installation and IDE/2.1 Anaconda PythonR Distribution - Anaconda.html
99 Bytes
2. Installation and IDE/2.2 Anaconda PythonR Distribution - Anaconda.html
99 Bytes
2. Installation and IDE/2.3 Anaconda PythonR Distribution - Anaconda.html
99 Bytes
2. Installation and IDE/2.4 Anaconda PythonR Distribution - Anaconda.html
99 Bytes
2. Installation and IDE/4.1 Conda utility documentation.html
88 Bytes
[DesireCourse.Net].url
51 Bytes
[CourseClub.Me].url
48 Bytes
随机展示
相关说明
本站不存储任何资源内容,只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符),并提供查询服务,是一个完全合法的搜索引擎系统。 网站不提供种子下载服务,用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责,请用户注意甄别!