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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
2.28KB |
| 001 Data Visualization Concepts.en.srt |
8.34KB |
| 001 Data Visualization Concepts.mp4 |
94.18MB |
| 001 Introduction.en.srt |
4.04KB |
| 001 Introduction.mp4 |
37.39MB |
| 001 Mount Your Drive.en.srt |
4.58KB |
| 001 Mount Your Drive.mp4 |
17.51MB |
| 001 Scrape a Simple Non-Wiki Table.en.srt |
5.20KB |
| 001 Scrape a Simple Non-Wiki Table.mp4 |
33.77MB |
| 001 Shall We Start With Soup_.en.srt |
3.65KB |
| 001 Shall We Start With Soup_.mp4 |
34.34MB |
| 001 What Are Pandas_.en.srt |
11.64KB |
| 001 What Are Pandas_.mp4 |
69.66MB |
| 001 What is Webscraping_.en.srt |
6.61KB |
| 001 What is Webscraping_.mp4 |
40.55MB |
| 002 A Ghastly Wiki Table.en.srt |
6.70KB |
| 002 A Ghastly Wiki Table.mp4 |
53.39MB |
| 002 Basic Data Cleaning With Pandas.en.srt |
4.66KB |
| 002 Basic Data Cleaning With Pandas.mp4 |
31.78MB |
| 002 Data and Code.html |
1.01KB |
| 002 Explore the IPOs.en.srt |
7.91KB |
| 002 Explore the IPOs.mp4 |
51.48MB |
| 002 Lets Rummage Inside a Webpage.en.srt |
7.88KB |
| 002 Lets Rummage Inside a Webpage.mp4 |
83.05MB |
| 002 Opening a Jupyter Notebook.en.srt |
2.26KB |
| 002 Opening a Jupyter Notebook.mp4 |
7.86MB |
| 002 Simple Webscraping-Parse in an HTML.en.srt |
6.75KB |
| 002 Simple Webscraping-Parse in an HTML.mp4 |
53.86MB |
| 003 Accessing Data Within the Drive.en.srt |
3.15KB |
| 003 Accessing Data Within the Drive.mp4 |
15.99MB |
| 003 Another Way of Reading in HTML Webpages.en.srt |
8.94KB |
| 003 Another Way of Reading in HTML Webpages.mp4 |
61.45MB |
| 003 Cleaning the Scraped Data.en.srt |
4.10KB |
| 003 Cleaning the Scraped Data.mp4 |
20.81MB |
| 003 IPO Listings.en.srt |
6.28KB |
| 003 IPO Listings.mp4 |
50.94MB |
| 003 Python Installation.en.srt |
6.78KB |
| 003 Python Installation.mp4 |
39.28MB |
| 003 Sector Performance.en.srt |
2.62KB |
| 003 Sector Performance.mp4 |
12.65MB |
| 003 What is HTML_.en.srt |
10.80KB |
| 003 What is HTML_.mp4 |
112.72MB |
| 004 Accessing the Different HTML Components.en.srt |
2.95KB |
| 004 Accessing the Different HTML Components.mp4 |
23.00MB |
| 004 Making the IPO Listings Usable.en.srt |
7.05KB |
| 004 Making the IPO Listings Usable.mp4 |
52.76MB |
| 004 Quickly Scour The Mumbai Real Estate Trends.en.srt |
3.73KB |
| 004 Quickly Scour The Mumbai Real Estate Trends.mp4 |
22.03MB |
| 004 Start With Google Colaboratory Environment.en.srt |
7.84KB |
| 004 Start With Google Colaboratory Environment.mp4 |
36.72MB |
| 004 String Manipulation To Get a Neater Table.en.srt |
12.95KB |
| 004 String Manipulation To Get a Neater Table.mp4 |
87.99MB |
| 004 Tackling Tables-Part 1.en.srt |
10.19KB |
| 004 Tackling Tables-Part 1.mp4 |
81.45MB |
| 004 Upload Data From a Local Drive.en.srt |
5.49KB |
| 004 Upload Data From a Local Drive.mp4 |
22.33MB |
| 005 Another Way of Tweaking.en.srt |
2.51KB |
| 005 Another Way of Tweaking.mp4 |
14.70MB |
| 005 Google Colabs and GPU.en.srt |
7.06KB |
| 005 Google Colabs and GPU.mp4 |
27.63MB |
| 005 Install New Packages.en.srt |
2.87KB |
| 005 Install New Packages.mp4 |
23.16MB |
| 005 Some Housekeeping.en.srt |
5.28KB |
| 005 Some Housekeeping.mp4 |
37.56MB |
| 005 When We Have More Than 1 Table.en.srt |
4.93KB |
| 005 When We Have More Than 1 Table.mp4 |
38.26MB |
| 006 Extract Tables Into Pandas-Part1.en.srt |
4.53KB |
| 006 Extract Tables Into Pandas-Part1.mp4 |
35.77MB |
| 006 Google Colab Packages.en.srt |
5.07KB |
| 006 Google Colab Packages.mp4 |
26.49MB |
| 006 Hello to Airbnb.en.srt |
4.82KB |
| 006 Hello to Airbnb.mp4 |
42.83MB |
| 006 More Data Cleaning-Part1.en.srt |
8.49KB |
| 006 More Data Cleaning-Part1.mp4 |
80.40MB |
| 007 Exploring Amazon Bestsellers.en.srt |
6.41KB |
| 007 Exploring Amazon Bestsellers.mp4 |
71.94MB |
| 007 Extract Tables Into Pandas-Part2.en.srt |
7.82KB |
| 007 Extract Tables Into Pandas-Part2.mp4 |
59.69MB |
| 007 More Data Cleaning-Part2.en.srt |
8.42KB |
| 007 More Data Cleaning-Part2.mp4 |
70.89MB |
| 008 A Quicker Way to Extract Tabular Data.en.srt |
2.48KB |
| 008 A Quicker Way to Extract Tabular Data.mp4 |
15.80MB |
| 008 Extract Amazon Bestsellers in a Dataframe.en.srt |
6.67KB |
| 008 Extract Amazon Bestsellers in a Dataframe.mp4 |
49.73MB |
| 008 Geocoding the London Boroughs.en.srt |
9.17KB |
| 008 Geocoding the London Boroughs.mp4 |
74.17MB |
| 009 Exporting Data.en.srt |
4.16KB |
| 009 Exporting Data.mp4 |
41.64MB |
| 009 Get Table Names.en.srt |
3.59KB |
| 009 Get Table Names.mp4 |
19.10MB |
| 009 Mumbai House Prices.en.srt |
5.96KB |
| 009 Mumbai House Prices.mp4 |
43.95MB |
| 010 Fuzzy Strings.en.srt |
4.67KB |
| 010 Fuzzy Strings.mp4 |
50.34MB |
| 010 Pandas and HTML Tables.en.srt |
5.27KB |
| 010 Pandas and HTML Tables.mp4 |
55.39MB |
| 011 Basic Housekeeping Prior To Fuzzy Joining.en.srt |
11.29KB |
| 011 Basic Housekeeping Prior To Fuzzy Joining.mp4 |
72.94MB |
| 012 Let's Get Fuzzy.en.srt |
10.95KB |
| 012 Let's Get Fuzzy.mp4 |
68.00MB |
| 013 Merge Datasets Based on Geolocations.en.srt |
14.05KB |
| 013 Merge Datasets Based on Geolocations.mp4 |
99.67MB |
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315.85KB |
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109.32KB |
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145.72KB |
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245.89KB |
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20.57KB |
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332.19KB |
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60.05KB |
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161.96KB |
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274.88KB |
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52.14KB |
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171.06KB |
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365.08KB |
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463.05KB |
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224.70KB |
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250.33KB |
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448.91KB |
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13.46KB |
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112.11KB |
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291.73KB |
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234.02KB |
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160.25KB |
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237.40KB |
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221.29KB |
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383.56KB |
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6.97KB |
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349.49KB |
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3.88KB |
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459.64KB |
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173.68KB |
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482.48KB |
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192.76KB |
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412.94KB |
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503.19KB |
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12.53KB |
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205.58KB |
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310.11KB |
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355.03KB |
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52.91KB |
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105.86KB |
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341.76KB |
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64.69KB |
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59.12KB |
| TutsNode.com.txt |
63B |