Lynda - Introduction to Data Analysis with Python

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Added on November 22, 2015 by zeeshan65956in Other > Tutorials
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Lynda - Introduction to Data Analysis with Python (Size: 437.38 MB)
 419162_00_02_XR15_shouldknow.mp42.01 MB
 419162_00_03_XR15_exercisefiles.mp42.11 MB
 419162_01_01_XR15_installipython.mp45.98 MB
 419162_01_02_XR15_ipython.mp48.37 MB
 419162_02_01_XR15_containers.mp41.44 MB
 419162_02_02_XR15_lists.mp415.68 MB
 419162_02_03_XR15_dicts.mp410.2 MB
 419162_02_04_XR15_comprehensions.mp412.61 MB
 419162_03_01_XR15_overview.mp41.83 MB
 419162_03_02_XR15_dictionary.mp410.33 MB
 419162_03_03_XR15_anagrams.mp413.31 MB
 419162_03_04_XR30_CH30_challenge.mp42.07 MB
 419162_03_05_XR30_SO30_solution.mp48.88 MB
 419162_04_01_XR15_overview.mp47.27 MB
 419162_04_02_XR15_arrays.mp410.83 MB
 419162_04_03_XR15_math.mp411.66 MB
 419162_04_04_XR15_indexing.mp412.74 MB
 419162_04_05_XR15_records.mp411.22 MB
 419162_05_01_XR15_weather_overview.mp41.81 MB
 419162_05_02_XR15_stations.mp412.73 MB
 419162_05_03_XR15_temperatures.mp420.06 MB
 419162_05_04_XR15_missing.mp411.73 MB
 419162_05_05_XR15_smoothing.mp412.78 MB
 419162_05_06_XR15_records.mp411.11 MB
 419162_05_07_XR30_CH30_challenge.mp41.52 MB
 419162_05_08_XR30_SO30_solution.mp48.28 MB
 419162_06_01_XR15_pandas_overview.mp41.66 MB
 419162_06_02_XR15_series.mp48.29 MB
 419162_06_03_XR15_dataframes.mp416.21 MB
 419162_06_04_XR15_multilevel.mp411.28 MB

Description

Introduction to Data Analysis with Python

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[COVER:]
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[INFO:]
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Year: 2015
Producer: Lynda
Website: lynda.com/Numpy-tutorials/Introduction-Data-Analysis-Python/419162-2.html
Author: Michele Vallisneri

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[Description:]
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2:11 Type of material handed out: videos Language: English Description: If you're going to work with big data, you'll probably be using R or Python. And if you're using Python, you'll be definitely using Pandas and NumPy, the third-party packages designed specifically for data analysis. This course provides an opportunity to learn about them. Michele Vallisneri shows how to set up your analysis environment and provides a refresher on the basics of working with data containers in Python. Then he jumps into the big stuff: the power of arrays, indexing, and DataFrames in NumPy and Pandas. He also walks through two sample big-data projects: one using NumPy to analyze weather patterns and the other using Pandas to analyze the popularity of baby names over the last century. Challenges issued along the way help you practice what you've learned.

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437.38 MB
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Lynda - Introduction to Data Analysis with Python