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Python Data Analysis With Pandas Library [UdemyLibrary.com]
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Python programming has become one of the most sought after programming languages in the world, with its extensive amount of features and the sheer amount of productivity it provides. Therefore, being able to code Pandas in Python, enables you to tap into the power of the various other features and libraries which will use with Python. Some of these libraries are NumPy, SciPy, MatPlotLib, etc.
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FILE LIST
Filename
Size
1. Introduction/1. Introduction.mp4
13.1 MB
1. Introduction/1. Introduction.srt
2.8 KB
2. Pandas Data Structures - Series/1. Pandas Data Structures - Series.mp4
144.8 MB
2. Pandas Data Structures - Series/1. Pandas Data Structures - Series.srt
25 KB
3. Pandas Data Structures - Dataframes/1. Dataframes.mp4
100.2 MB
3. Pandas Data Structures - Dataframes/1. Dataframes.srt
17 KB
4. Playing with Dataframes/1. Playing with Dataframes.mp4
89.6 MB
4. Playing with Dataframes/1. Playing with Dataframes.srt
15.8 KB
5. Selecting columns & rows from a Dataframe/1. Selecting columns & rows from a Dataframe.mp4
140.2 MB
5. Selecting columns & rows from a Dataframe/1. Selecting columns & rows from a Dataframe.srt
20 KB
6. Subsetting of Dataframes/1. Subsetting of Dataframes.mp4
59.5 MB
6. Subsetting of Dataframes/1. Subsetting of Dataframes.srt
7.6 KB
7. Indexing/1. Indexing Part1.mp4
48.4 MB
7. Indexing/1. Indexing Part1.srt
7.1 KB
7. Indexing/2. Indexing Part2.mp4
594.7 MB
7. Indexing/2. Indexing Part2.srt
62.9 KB
8. Dataframes Merging and Concatenating/1. CSV Files to be used for dataframes merging and concatenating.html
155 B
8. Dataframes Merging and Concatenating/2. Dataframes Merging and Concatenating.mp4
495.3 MB
8. Dataframes Merging and Concatenating/2. Dataframes Merging and Concatenating.srt
64.6 KB
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