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种子名称： Udemy – Python Step by Step - Build a Data Analysis Program (2015)
文件类型： 视频
文件数目： 43个文件
文件大小： 961.28 MB
收录时间： 2018-5-26 12:59
已经下载： 3次
资源热度： 105
最近下载： 2024-7-2 09:06

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

01 Getting Started/001 A few words about Python.mp417.51MB

01 Getting Started/002 Easily installing Python and its specialized libraries.mp433.83MB

01 Getting Started/003 Spyder and iPython.mp413.35MB

02 Python Basics/001 Variables.mp45.32MB

02 Python Basics/002 Strings and numbers.mp410.64MB

02 Python Basics/003 If, else, and indentation.mp49.3MB

02 Python Basics/004 Functions.mp46.57MB

02 Python Basics/005 Sequences.mp45.52MB

02 Python Basics/006 Collections.mp46.92MB

02 Python Basics/007 Working with sequences and strings.mp417.03MB

02 Python Basics/008 Iterating.mp411.1MB

03 Working with Files and Folders/001 Working with files.mp411.19MB

03 Working with Files and Folders/002 Working with folders.mp49.94MB

03 Working with Files and Folders/003 Handling files easily.mp43.6MB

03 Working with Files and Folders/004 Manipulating directory paths.mp420.32MB

03 Working with Files and Folders/005 Iterating through files.mp424.71MB

04 Downloading Files from FTP Sites/001 Introduction to section Downloading files from FTP sites.mp42.8MB

04 Downloading Files from FTP Sites/002 Logging in to an FTP site and browsing through FTP files.mp421.73MB

04 Downloading Files from FTP Sites/003 Running Python code from the editor.mp418.16MB

04 Downloading Files from FTP Sites/004 Creating an FTP function.mp49.34MB

04 Downloading Files from FTP Sites/005 Downloading an FTP file.mp450.51MB

04 Downloading Files from FTP Sites/006 Practical No.1 Creating a FTP File Downloader.mp474.8MB

05 Working with Archive Files/001 Extracting ZIP, TAR, GZ and other archive file formats.mp412.81MB

05 Working with Archive Files/002 Extracting RAR files.mp48.63MB

05 Working with Archive Files/003 Practical No.2 Creating a batch archive extractor.mp432.28MB

06 Reading and Writing TXT and CSV Data Files/001 Introduction to section Reading and writing TXT and CSV data files.mp44.01MB

06 Reading and Writing TXT and CSV Data Files/002 Reading delimited TXT and CSV files.mp435.89MB

06 Reading and Writing TXT and CSV Data Files/003 Exporting data back to files.mp421.06MB

06 Reading and Writing TXT and CSV Data Files/004 Reading fixed width TXT files.mp48.96MB

06 Reading and Writing TXT and CSV Data Files/005 Exporting data back to HTML and other fIle formats.mp44.81MB

07 A tour with pandas/001 Introducing pandas - the great Python data analysis library.mp425.48MB

07 A tour with pandas/002 Practical No.4 Calculating and adding columns to CSV files.mp426.5MB

08 Concatenating and Joining Tables of Data with Pandas/001 Practical No.5 Concatenating multiple CSV files.mp438.33MB

08 Concatenating and Joining Tables of Data with Pandas/002 Practical No. 6 Joining data based on a matching column.mp425.19MB

09 Pivoting Data/001 Practical No. 7 Pivoting large amounts of data.mp448.2MB

10 Visualizing Data/001 How to perform visualizations in Python.mp416.15MB

10 Visualizing Data/002 More visualization techniques.mp471.39MB

10 Visualizing Data/003 Practical No. 8 Generating an image file graph.mp421.66MB

11 Mapping Spatial Data/001 Creating KML Google Earth files.mp418.98MB

11 Mapping Spatial Data/002 Practical No, 9 Creating KML Google Earth fIles from CSV.mp456.94MB

12 Putting everything together/001 Practical No. 9 Polishing the program, I.mp427.34MB

12 Putting everything together/002 Practical No. 10 Polishing the program, II.mp438.44MB

12 Putting everything together/003 Practical No. 11 Creating a Python module out of your program.mp434.02MB