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[FreeCoursesOnline Me] [Packt] Data Wrangling with Python 3 X [FCO]

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Title: Packt Data Wrangling with Python 3 X FCOGroup: NOGRPSource: Packt
Info Hash
61D11229A34F16C839B6BAD95B4AEF28019F26AC
Source
Unverified
Total Size
1.34 GB
Total Files
45
Seeders
1
Leechers
1
Health
0.50
Score
3
Type
Bookware

File List

FileSize
01.Gathering and Parsing Data/0101.The Course Overview.mp430.8 MB
01.Gathering and Parsing Data/0102.Installing Anaconda Navigator on WindowsLinux.mp453.54 MB
01.Gathering and Parsing Data/0103.Importing and Parsing CSV in Python.mp428.48 MB
01.Gathering and Parsing Data/0104.Importing and Parsing JSON in Python.mp422.82 MB
01.Gathering and Parsing Data/0105.Scraping Data from Public Web – Part 1.mp420.9 MB
01.Gathering and Parsing Data/0106.Scraping Data from Public Web – Part 2.mp449.36 MB
02.Working with Data from Excel and PDF Files/0201.Importing and Parsing Excel Files – Part 1.mp420.32 MB
02.Working with Data from Excel and PDF Files/0202.Importing and Parsing Excel Files – Part 2.mp4205.67 MB
02.Working with Data from Excel and PDF Files/0203.Manipulating PDF Files in Python – Part 1.mp4125.34 MB
02.Working with Data from Excel and PDF Files/0204.Manipulating PDF Files in Python – Part 2.mp4126.67 MB
03.Storing Data in Persistent Storage/0301.Difference between Relational and Non-Relational Databases.mp414.69 MB
03.Storing Data in Persistent Storage/0302.Storing Data in SQLite Databases.mp433.35 MB
03.Storing Data in Persistent Storage/0303.Storing Data in MongoDB.mp425.17 MB
03.Storing Data in Persistent Storage/0304.Storing Data in Elasticsearch.mp427.53 MB
03.Storing Data in Persistent Storage/0305.Comparative Study of Databases for Storage.mp45.02 MB
04.Cleaning Structured Data/0401.The Most Important Step in Data Analysis.mp411.88 MB
04.Cleaning Structured Data/0402.ViewingInspecting DataFrames.mp426 MB
04.Cleaning Structured Data/0403.RenamingAddingRemoving the DataFrame Columns.mp426.72 MB
04.Cleaning Structured Data/0404.Dropping Duplicate Rows.mp426.24 MB
04.Cleaning Structured Data/0405.Indexing DataFrame to Retrieve Specific Columns and Rows.mp428.16 MB
04.Cleaning Structured Data/0406.MergingConcatenatingJoining DataFrames.mp431.45 MB
04.Cleaning Structured Data/0407.Dealing with Missing Values.mp433.56 MB
05.More Data Cleaning and Transformation/0501.Filtering and Sorting of DataFrame.mp425.93 MB
05.More Data Cleaning and Transformation/0502.EncodingMapping Existing Values – Part 1.mp423.51 MB
05.More Data Cleaning and Transformation/0503.EncodingMapping Existing Values – Part 2.mp418.85 MB
05.More Data Cleaning and Transformation/0504.RescaleStandardize Column Values.mp429.42 MB
05.More Data Cleaning and Transformation/0505.Common Cleaning Operations.mp427.8 MB
05.More Data Cleaning and Transformation/0506.Exporting Datasets for Future Use.mp422.07 MB
06.Performing Statistical Analysis/0601.Different Uses of Packages (Pandas, NumPy, SciPy, and Matplotlib).mp43.12 MB
06.Performing Statistical Analysis/0602.Types of Column NamesFeaturesAttributes in Structured Data.mp44.36 MB
06.Performing Statistical Analysis/0603.Split-Apply-Combine (Performing Group By Operation).mp424.38 MB
06.Performing Statistical Analysis/0604.Descriptive Statistics Using Python – Part 1.mp423 MB
06.Performing Statistical Analysis/0605.Descriptive Statistics Using Python – Part 2.mp422.35 MB
07.Let the Visualizations Tell the Story/0701.Using Visualizations.mp43.76 MB
07.Let the Visualizations Tell the Story/0702.Cool Visualization of Real-World Datasets of World Population Evolution.mp47.12 MB
07.Let the Visualizations Tell the Story/0703.Visualizations in Python – Part 1.mp426.3 MB
07.Let the Visualizations Tell the Story/0704.Visualizations in Python – Part 2.mp495.74 MB
07.Let the Visualizations Tell the Story/0705.Exploring an Online Visualization Tool (RAWGraphs).mp436.73 MB
Exercise Files/exercise_files.zip966.11 KB
Discuss.FreeTutorials.Eu.html31.34 KB
FreeCoursesOnline.Me.html108.3 KB
FreeTutorials.Eu.html102.23 KB
How you can help Team-FTU.txt259 B
[TGx]Downloaded from torrentgalaxy.org.txt524 B
Torrent Downloaded From GloDls.to.txt84 B

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