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Python Webscraping For Information Retrieval and Analytics

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Name:Python Webscraping For Information Retrieval and Analytics

Infohash: 4264887152B72429C46992D094CE9AC3219825AF

Total Size: 2.32 GB

Seeds: 0

Leechers: 1

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2025-12-24 17:22:29 (Update Now)

Torrent added: 2021-07-01 07:30:14






Torrent Files List


[TutsNode.com] - Python Webscraping For Information Retrieval and Analytics (Size: 2.32 GB) (Files: 152)

 [TutsNode.com] - Python Webscraping For Information Retrieval and Analytics

  03 Welcome to the Web

   003 What is HTML_.mp4

112.72 MB

   003 What is HTML_.en.srt

10.80 KB

   002 Lets Rummage Inside a Webpage.en.srt

7.88 KB

   001 What is Webscraping_.en.srt

6.61 KB

   004 Accessing the Different HTML Components.en.srt

2.95 KB

   002 Lets Rummage Inside a Webpage.mp4

83.05 MB

   001 What is Webscraping_.mp4

40.55 MB

   004 Accessing the Different HTML Components.mp4

23.00 MB

  06 Preprocessing and Cleaning the Scraped Data

   013 Merge Datasets Based on Geolocations.en.srt

14.05 KB

   004 String Manipulation To Get a Neater Table.en.srt

12.95 KB

   001 What Are Pandas_.en.srt

11.64 KB

   011 Basic Housekeeping Prior To Fuzzy Joining.en.srt

11.29 KB

   012 Let's Get Fuzzy.en.srt

10.95 KB

   008 Geocoding the London Boroughs.en.srt

9.17 KB

   006 More Data Cleaning-Part1.en.srt

8.49 KB

   007 More Data Cleaning-Part2.en.srt

8.42 KB

   010 Fuzzy Strings.en.srt

4.67 KB

   002 Basic Data Cleaning With Pandas.en.srt

4.66 KB

   013 Merge Datasets Based on Geolocations.mp4

99.67 MB

   009 Exporting Data.en.srt

4.16 KB

   003 Cleaning the Scraped Data.en.srt

4.10 KB

   005 Another Way of Tweaking.en.srt

2.51 KB

   004 String Manipulation To Get a Neater Table.mp4

87.99 MB

   006 More Data Cleaning-Part1.mp4

80.40 MB

   008 Geocoding the London Boroughs.mp4

74.17 MB

   011 Basic Housekeeping Prior To Fuzzy Joining.mp4

72.94 MB

   007 More Data Cleaning-Part2.mp4

70.89 MB

   001 What Are Pandas_.mp4

69.66 MB

   012 Let's Get Fuzzy.mp4

68.00 MB

   010 Fuzzy Strings.mp4

50.34 MB

   009 Exporting Data.mp4

41.64 MB

   002 Basic Data Cleaning With Pandas.mp4

31.78 MB

   003 Cleaning the Scraped Data.mp4

20.81 MB

   005 Another Way of Tweaking.mp4

14.70 MB

  01 Welcome to the Course

   002 Data and Code.html

1.01 KB

   004 Start With Google Colaboratory Environment.en.srt

7.84 KB

   005 Google Colabs and GPU.en.srt

7.06 KB

   003 Python Installation.en.srt

6.78 KB

   006 Google Colab Packages.en.srt

5.07 KB

   001 Introduction.en.srt

4.04 KB

   003 Python Installation.mp4

39.28 MB

   001 Introduction.mp4

37.39 MB

   004 Start With Google Colaboratory Environment.mp4

36.72 MB

   005 Google Colabs and GPU.mp4

27.63 MB

   006 Google Colab Packages.mp4

26.49 MB

  04 Let's Start Scraping

   004 Tackling Tables-Part 1.en.srt

10.19 KB

   003 Another Way of Reading in HTML Webpages.en.srt

8.94 KB

   007 Extract Tables Into Pandas-Part2.en.srt

7.82 KB

   002 Simple Webscraping-Parse in an HTML.en.srt

6.75 KB

   010 Pandas and HTML Tables.en.srt

5.27 KB

   005 When We Have More Than 1 Table.en.srt

4.93 KB

   006 Extract Tables Into Pandas-Part1.en.srt

4.53 KB

   001 Shall We Start With Soup_.en.srt

3.65 KB

   009 Get Table Names.en.srt

3.59 KB

   008 A Quicker Way to Extract Tabular Data.en.srt

2.48 KB

   004 Tackling Tables-Part 1.mp4

81.45 MB

   003 Another Way of Reading in HTML Webpages.mp4

61.45 MB

   007 Extract Tables Into Pandas-Part2.mp4

59.69 MB

   010 Pandas and HTML Tables.mp4

55.39 MB

   002 Simple Webscraping-Parse in an HTML.mp4

53.86 MB

   005 When We Have More Than 1 Table.mp4

38.26 MB

   006 Extract Tables Into Pandas-Part1.mp4

35.77 MB

   001 Shall We Start With Soup_.mp4

34.34 MB

   009 Get Table Names.mp4

19.10 MB

   008 A Quicker Way to Extract Tabular Data.mp4

15.80 MB

  07 Analytics and Visualization- Some Examples

   001 Data Visualization Concepts.en.srt

8.34 KB

   002 Explore the IPOs.en.srt

7.91 KB

   004 Quickly Scour The Mumbai Real Estate Trends.en.srt

3.73 KB

   003 Sector Performance.en.srt

2.62 KB

   001 Data Visualization Concepts.mp4

94.18 MB

   002 Explore the IPOs.mp4

51.48 MB

   004 Quickly Scour The Mumbai Real Estate Trends.mp4

22.03 MB

   003 Sector Performance.mp4

12.65 MB

  02 Get Your Data Into Google Drive

   002 Opening a Jupyter Notebook.en.srt

2.26 KB

   005 Install New Packages.en.srt

2.87 KB

   004 Upload Data From a Local Drive.en.srt

5.49 KB

   001 Mount Your Drive.en.srt

4.58 KB

   003 Accessing Data Within the Drive.en.srt

3.15 KB

   005 Install New Packages.mp4

23.16 MB

   004 Upload Data From a Local Drive.mp4

22.33 MB

   001 Mount Your Drive.mp4

17.51 MB

   003 Accessing Data Within the Drive.mp4

15.99 MB

   002 Opening a Jupyter Notebook.mp4

7.86 MB

  05 Lets Scrape Some Non-Wikipedia Pages

   004 Making the IPO Listings Usable.en.srt

7.05 KB

   002 A Ghastly Wiki Table.en.srt

6.70 KB

   008 Extract Amazon Bestsellers in a Dataframe.en.srt

6.67 KB

   007 Exploring Amazon Bestsellers.en.srt

6.41 KB

   003 IPO Listings.en.srt

6.28 KB

   009 Mumbai House Prices.en.srt

5.96 KB

   005 Some Housekeeping.en.srt

5.28 KB

   001 Scrape a Simple Non-Wiki Table.en.srt

5.20 KB

   006 Hello to Airbnb.en.srt

4.82 KB

   007 Exploring Amazon Bestsellers.mp4

71.94 MB

   002 A Ghastly Wiki Table.mp4

53.39 MB

   004 Making the IPO Listings Usable.mp4

52.76 MB

   003 IPO Listings.mp4

50.94 MB

   008 Extract Amazon Bestsellers in a Dataframe.mp4

49.73 MB

   009 Mumbai House Prices.mp4

43.95 MB

   006 Hello to Airbnb.mp4

42.83 MB

   005 Some Housekeeping.mp4

37.56 MB

   001 Scrape a Simple Non-Wiki Table.mp4

33.77 MB

 TutsNode.com.txt

0.06 KB

 [TGx]Downloaded from torrentgalaxy.to .txt

0.57 KB

 .pad

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2.28 KB

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302.60 KB

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332.19 KB

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13.46 KB

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459.64 KB

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52.91 KB

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105.86 KB

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341.76 KB

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64.69 KB

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59.12 KB

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115.31 KB

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345.89 KB

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509.51 KB

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50.73 KB

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315.85 KB

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109.32 KB

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145.72 KB

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116.37 KB

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245.89 KB

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20.57 KB

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60.05 KB

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161.96 KB

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274.88 KB

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52.14 KB

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171.06 KB

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365.08 KB

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463.05 KB

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224.70 KB

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250.33 KB

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448.91 KB

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112.11 KB

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291.73 KB

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234.02 KB

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160.25 KB

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237.40 KB

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221.29 KB

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383.56 KB

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6.97 KB

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349.49 KB

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3.88 KB

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173.68 KB

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482.48 KB

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192.76 KB

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412.94 KB

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503.19 KB

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12.53 KB

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205.58 KB

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310.11 KB

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355.03 KB
 

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