Udemy – Python Step by Step - Build a Data Analysis Program (2015)

Torrent Hash:
6E8F1CF50D64D5F629508382146B545C0CF76853
Number of Files:
43
Content Size:
961.28MB
Convert On:
2015-10-14
Magnet Link:
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File Name
Size
01 Getting Started/001 A few words about Python.mp4
17.51MB
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01 Getting Started/002 Easily installing Python and its specialized libraries.mp4
33.83MB
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01 Getting Started/003 Spyder and iPython.mp4
13.35MB
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02 Python Basics/001 Variables.mp4
5.32MB
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02 Python Basics/002 Strings and numbers.mp4
10.64MB
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02 Python Basics/003 If, else, and indentation.mp4
9.3MB
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02 Python Basics/004 Functions.mp4
6.57MB
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02 Python Basics/005 Sequences.mp4
5.52MB
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02 Python Basics/006 Collections.mp4
6.92MB
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02 Python Basics/007 Working with sequences and strings.mp4
17.03MB
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02 Python Basics/008 Iterating.mp4
11.1MB
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03 Working with Files and Folders/001 Working with files.mp4
11.19MB
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03 Working with Files and Folders/002 Working with folders.mp4
9.94MB
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03 Working with Files and Folders/003 Handling files easily.mp4
3.6MB
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03 Working with Files and Folders/004 Manipulating directory paths.mp4
20.32MB
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03 Working with Files and Folders/005 Iterating through files.mp4
24.71MB
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04 Downloading Files from FTP Sites/001 Introduction to section Downloading files from FTP sites.mp4
2.8MB
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04 Downloading Files from FTP Sites/002 Logging in to an FTP site and browsing through FTP files.mp4
21.73MB
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04 Downloading Files from FTP Sites/003 Running Python code from the editor.mp4
18.16MB
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04 Downloading Files from FTP Sites/004 Creating an FTP function.mp4
9.34MB
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04 Downloading Files from FTP Sites/005 Downloading an FTP file.mp4
50.51MB
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04 Downloading Files from FTP Sites/006 Practical No.1 Creating a FTP File Downloader.mp4
74.8MB
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05 Working with Archive Files/001 Extracting ZIP, TAR, GZ and other archive file formats.mp4
12.81MB
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05 Working with Archive Files/002 Extracting RAR files.mp4
8.63MB
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05 Working with Archive Files/003 Practical No.2 Creating a batch archive extractor.mp4
32.28MB
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06 Reading and Writing TXT and CSV Data Files/001 Introduction to section Reading and writing TXT and CSV data files.mp4
4.01MB
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06 Reading and Writing TXT and CSV Data Files/002 Reading delimited TXT and CSV files.mp4
35.89MB
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06 Reading and Writing TXT and CSV Data Files/003 Exporting data back to files.mp4
21.06MB
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06 Reading and Writing TXT and CSV Data Files/004 Reading fixed width TXT files.mp4
8.96MB
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06 Reading and Writing TXT and CSV Data Files/005 Exporting data back to HTML and other fIle formats.mp4
4.81MB
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07 A tour with pandas/001 Introducing pandas - the great Python data analysis library.mp4
25.48MB
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07 A tour with pandas/002 Practical No.4 Calculating and adding columns to CSV files.mp4
26.5MB
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08 Concatenating and Joining Tables of Data with Pandas/001 Practical No.5 Concatenating multiple CSV files.mp4
38.33MB
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08 Concatenating and Joining Tables of Data with Pandas/002 Practical No. 6 Joining data based on a matching column.mp4
25.19MB
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09 Pivoting Data/001 Practical No. 7 Pivoting large amounts of data.mp4
48.2MB
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10 Visualizing Data/001 How to perform visualizations in Python.mp4
16.15MB
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10 Visualizing Data/002 More visualization techniques.mp4
71.39MB
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10 Visualizing Data/003 Practical No. 8 Generating an image file graph.mp4
21.66MB
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11 Mapping Spatial Data/001 Creating KML Google Earth files.mp4
18.98MB
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11 Mapping Spatial Data/002 Practical No, 9 Creating KML Google Earth fIles from CSV.mp4
56.94MB
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12 Putting everything together/001 Practical No. 9 Polishing the program, I.mp4
27.34MB
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12 Putting everything together/002 Practical No. 10 Polishing the program, II.mp4
38.44MB
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12 Putting everything together/003 Practical No. 11 Creating a Python module out of your program.mp4
34.02MB
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