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Python: Data Analysis with Pandas Library

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Other > Training

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English

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1.65 GB

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464338b651c35c9d18179d8df99b7874e74a5611

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Xkyer

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14-10-2020 23:17

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418

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File	Size
1. Introduction/1. Introduction.mp4	13.11 MB
1. Introduction/1. Introduction.srt	2.77 kB
2. Pandas Data Structures - Series/1. Pandas Data Structures - Series.mp4	144.83 MB
2. Pandas Data Structures - Series/1. Pandas Data Structures - Series.srt	25.04 kB
3. Pandas Data Structures - Dataframes/1. Dataframes.mp4	100.23 MB
3. Pandas Data Structures - Dataframes/1. Dataframes.srt	17.01 kB
4. Playing with Dataframes/1. Playing with Dataframes.mp4	89.61 MB
4. Playing with Dataframes/1. Playing with Dataframes.srt	15.80 kB
5. Selecting columns & rows from a Dataframe/1. Selecting columns & rows from a Dataframe.mp4	140.22 MB
5. Selecting columns & rows from a Dataframe/1. Selecting columns & rows from a Dataframe.srt	20.02 kB
6. Subsetting of Dataframes/1. Subsetting of Dataframes.mp4	59.54 MB
6. Subsetting of Dataframes/1. Subsetting of Dataframes.srt	7.64 kB
7. Indexing/1. Indexing Part1.mp4	48.40 MB
7. Indexing/1. Indexing Part1.srt	7.07 kB
7. Indexing/2. Indexing Part2.mp4	594.70 MB
7. Indexing/2. Indexing Part2.srt	62.89 kB
8. Dataframes Merging and Concatenating/1. CSV Files to be used for dataframes merging and concatenating.html	155.00 B
8. Dataframes Merging and Concatenating/2. Dataframes Merging and Concatenating.mp4	495.33 MB
8. Dataframes Merging and Concatenating/2. Dataframes Merging and Concatenating.srt	64.62 kB
[UdemyLibrary.com] Join for free courses and tutorials.txt	246.00 B

Description

Python: Data Analysis with Pandas Library

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 9 lectures (4h 5m) | Size: 1.28 GB

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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