Torrent Info
Title Pandas Python Programming Language Library From Scratch A-Z™
Category
Size 1.98GB

Files List
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[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 409.42KB
1 171.09KB
1. Accessing and Making Files Available.mp4 32.27MB
1. Adding Columns to Pandas Data Frames.mp4 31.05MB
1. Concatenating Pandas Dataframes Concat Function.mp4 58.05MB
1. Creating a Pandas Series with a List.mp4 36.27MB
1. Creating Pandas DataFrame with List.mp4 21.15MB
1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 27.45MB
1. Examining the Data Set 3.mp4 35.60MB
1. Installing Anaconda Distribution for Windows.mp4 122.60MB
1. Introduction to Pandas Library.mp4 32.30MB
1. Loading a Dataset from the Seaborn Library.mp4 35.00MB
1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 39.51MB
1. Pandas Python Programming Language Library From Scratch A-Z™.html 266B
10 192.64KB
10. quiz.html 212B
11 46.31KB
12 106.52KB
13 437.00KB
14 277.42KB
15 452.73KB
16 467.15KB
17 497.40KB
18 293.96KB
19 187.45KB
2 358.60KB
2. Creating a Pandas Series with a Dictionary.mp4 16.85MB
2. Creating Pandas DataFrame with NumPy Array.mp4 11.22MB
2. Data Entry with Csv and Txt Files.mp4 59.33MB
2. Element Selection in Multi-Indexed DataFrames.mp4 22.37MB
2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 29.36MB
2. Examining the Data Set 1.mp4 39.21MB
2. Installing Anaconda Distribution for MacOs.mp4 57.92MB
2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 51.31MB
2. Pandas Project Files Link.html 180B
2. Pivot Tables in Pandas Library.mp4 49.95MB
2. Removing Rows and Columns from Pandas Data frames.mp4 14.41MB
20 46.89KB
21 92.16KB
22 232.63KB
23 405.08KB
24 13.54KB
25 4.12KB
26 234.53KB
27 208.97KB
28 232.81KB
29 248.28KB
3 100.35KB
3. Aggregation Functions in Pandas DataFrames.mp4 83.65MB
3. Creating Pandas DataFrame with Dictionary.mp4 14.74MB
3. Creating Pandas Series with NumPy Array.mp4 11.02MB
3. Data Entry with Excel Files.mp4 19.84MB
3. Installing Anaconda Distribution for Linux.mp4 119.83MB
3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 27.44MB
3. Null Values in Pandas Dataframes.mp4 62.37MB
3. quiz.html 212B
3. quiz.html 212B
3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 28.23MB
3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 35.49MB
30 457.56KB
31 140.62KB
32 504.16KB
33 279.52KB
34 53.43KB
35 63.06KB
36 55.11KB
37 99.82KB
38 129.45KB
39 17.22KB
4 130.72KB
4. Dropping Null Values Dropna() Function.mp4 31.76MB
4. Examining the Data Set 2.mp4 42.56MB
4. Examining the Properties of Pandas DataFrames.mp4 23.87MB
4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 53.81MB
4. Object Types in Series.mp4 17.96MB
4. Outputting as an CSV Extension.mp4 32.77MB
4. quiz.html 212B
4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 29.01MB
40 135.48KB
41 362.20KB
42 482.47KB
43 166.81KB
44 370.81KB
45 44.49KB
46 71.80KB
47 155.01KB
48 270.91KB
49 87.88KB
5 173.37KB
5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 80.90MB
5. Examining the Primary Features of the Pandas Seri.mp4 17.43MB
5. Filling Null Values Fillna() Function.mp4 47.90MB
5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 37.45MB
5. Outputting as an Excel File.mp4 18.14MB
5. quiz.html 212B
5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 20.53MB
50 287.01KB
6 463.31KB
6. Advanced Aggregation Functions Aggregate() Function.mp4 26.95MB
6. Element Selection with Conditional Operations in.mp4 42.54MB
6. Joining Pandas Dataframes Join() Function.mp4 51.85MB
6. Most Applied Methods on Pandas Series.mp4 44.07MB
6. quiz.html 212B
6. Setting Index in Pandas DataFrames.mp4 36.41MB
7 82.55KB
7. Advanced Aggregation Functions Filter() Function.mp4 22.98MB
7. Indexing and Slicing Pandas Series.mp4 26.90MB
7. quiz.html 212B
7. quiz.html 212B
7. quiz.html 212B
8 190.33KB
8. Advanced Aggregation Functions Transform() Function.mp4 43.73MB
8. quiz.html 212B
9 149.19KB
9. Advanced Aggregation Functions Apply() Function.mp4 38.32MB
TutsNode.net.txt 63B
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Russia (RU) 2
India (IN) 1
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