Data Processing with Python [CoursesGhar]
File List
- 8. Visualizing Data/2. More visualization techniques.mp4 208.8 MB
- 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.mp4 193.9 MB
- 9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.mp4 187.8 MB
- 6. Merging Data/2. Practice No. 5 Joining Data Based on a Matching Column.mp4 168.7 MB
- 7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.mp4 142.1 MB
- 2. Downloading Many Files with Python/5. Downloading an FTP file.mp4 127.7 MB
- 2. Downloading Many Files with Python/6. Practice No.1 Creating an FTP File Downloader.mp4 121.8 MB
- 10. Putting everything together/3. Practice No. 10 Polishing the Program, II.mp4 106.1 MB
- 6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.mp4 90.9 MB
- 10. Putting everything together/4. Practice No. 11 Creating Python Modules.mp4 77.0 MB
- 10. Putting everything together/2. Practice No. 9 Polishing the Program, I.mp4 71.8 MB
- 5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.mp4 67.4 MB
- 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.mp4 65.2 MB
- 4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.mp4 53.5 MB
- 8. Visualizing Data/3. Practice No. 7 Producing Image Files.mp4 47.7 MB
- 5. Getting Started with Pandas/1. Get started with Pandas.mp4 47.1 MB
- 9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.mp4 47.0 MB
- 3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.mp4 43.1 MB
- 8. Visualizing Data/1. Data visualization with Python.mp4 41.6 MB
- 1. Getting Started/2. Python editors - Spyder and iPython.mp4 34.6 MB
- 4. Working with TXT and CSV Files/3. Exporting data from Python to files.mp4 33.5 MB
- 10. Putting everything together/1. User interaction.mp4 28.8 MB
- 2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.mp4 28.4 MB
- 2. Downloading Many Files with Python/3. Storing Python code.mp4 27.2 MB
- 1. Getting Started/1. Installing Python and Python libraries.mp4 27.2 MB
- 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.mp4 25.4 MB
- 3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.mp4 16.0 MB
- 4. Working with TXT and CSV Files/4. Reading fixed width TXT files.mp4 14.9 MB
- 2. Downloading Many Files with Python/4. Creating an FTP function.mp4 10.6 MB
- 3. Extracting Data from Archive Files/2. Extracting RAR files.mp4 9.7 MB
- 4. Working with TXT and CSV Files/5. Exporting data back to HTML and other file formats.mp4 6.0 MB
- 4. Working with TXT and CSV Files/1. Section introduction.mp4 5.3 MB
- 2. Downloading Many Files with Python/1. Section introduction.mp4 3.8 MB
- 6. Merging Data/station-info.txt 2.8 MB
- 4. Working with TXT and CSV Files/Fixed-Width.txt 2.8 MB
- 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/thefts-and-pop.xls 452.0 KB
- 4. Working with TXT and CSV Files/Comma-Separated.txt 33.6 KB
- 4. Working with TXT and CSV Files/Space-Separated.txt 33.6 KB
- 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II-en_US.srt 19.1 KB
- 2. Downloading Many Files with Python/6. Practice No.1 Creating an FTP File Downloader-en_US.srt 13.6 KB
- 8. Visualizing Data/2. More visualization techniques-en_US.srt 13.3 KB
- 8. Visualizing Data/1. Data visualization with Python-en_US.srt 12.8 KB
- 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks-en_US.srt 12.3 KB
- 4. Working with TXT and CSV Files/Data Analysis Exercise 1.html 12.1 KB
- 4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files-en_US.srt 11.0 KB
- 1. Getting Started/1. Installing Python and Python libraries-en_US.srt 9.4 KB
- 2. Downloading Many Files with Python/5. Downloading an FTP file-en_US.srt 9.4 KB
- 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I-en_US.srt 9.1 KB
- 6. Merging Data/2. Practice No. 5 Joining Data Based on a Matching Column-en_US.srt 9.0 KB
- 2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python-en_US.srt 8.5 KB
- 7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data-en_US.srt 8.4 KB
- 9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data-en_US.srt 8.2 KB
- 5. Getting Started with Pandas/1. Get started with Pandas-en_US.srt 7.4 KB
- 10. Putting everything together/1. User interaction-en_US.srt 6.9 KB
- 6. Merging Data/Data Analysis Exercise 4.html 6.9 KB
- 3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor-en_US.srt 6.5 KB
- 6. Merging Data/1. Practical No.4 Concatenating multiple CSV files-en_US.srt 6.2 KB
- 10. Putting everything together/3. Practice No. 10 Polishing the Program, II-en_US.srt 6.1 KB
- 5. Getting Started with Pandas/Data Analysis Exercise 2.html 6.0 KB
- 10. Putting everything together/2. Practice No. 9 Polishing the Program, I-en_US.srt 5.9 KB
- 6. Merging Data/Data Analysis Exercise 5.html 5.7 KB
- 10. Putting everything together/4. Practice No. 11 Creating Python Modules-en_US.srt 5.6 KB
- 8. Visualizing Data/Data Analysis Exercise 6.html 5.6 KB
- 2. Downloading Many Files with Python/3. Storing Python code-en_US.srt 5.5 KB
- 5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files-en_US.srt 5.2 KB
- 9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python-en_US.srt 5.1 KB
- 4. Working with TXT and CSV Files/3. Exporting data from Python to files-en_US.srt 4.6 KB
- 6. Merging Data/Data Analysis Exercise 3.html 4.1 KB
- 1. Getting Started/2. Python editors - Spyder and iPython-en_US.srt 4.1 KB
- 3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats-en_US.srt 3.7 KB
- 8. Visualizing Data/3. Practice No. 7 Producing Image Files-en_US.srt 3.6 KB
- 2. Downloading Many Files with Python/4. Creating an FTP function-en_US.srt 3.0 KB
- 4. Working with TXT and CSV Files/4. Reading fixed width TXT files-en_US.srt 2.4 KB
- 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/Bonus Lecture.html 2.3 KB
- 10. Putting everything together/Exercise User interaction.html 2.1 KB
- 3. Extracting Data from Archive Files/2. Extracting RAR files-en_US.srt 2.1 KB
- 2. Downloading Many Files with Python/1. Section introduction-en_US.srt 1.9 KB
- 4. Working with TXT and CSV Files/1. Section introduction-en_US.srt 1.8 KB
- 6. Merging Data/Data Analysis Exercise 3 Solution.html 1.4 KB
- 4. Working with TXT and CSV Files/5. Exporting data back to HTML and other file formats-en_US.srt 1.2 KB
- Uploaded by [Coursesghar.com].txt 1.1 KB
- 6. Merging Data/Data Analysis Exercise 4 Solution.html 879 bytes
- 10. Putting everything together/Exercise User interaction Solution.html 698 bytes
- 5. Getting Started with Pandas/Data Analysis Exercise 2 Solution.html 658 bytes
- 2. Downloading Many Files with Python/About the next lecture.html 613 bytes
- [TGx]Downloaded from torrentgalaxy.to .txt 564 bytes
- 4. Working with TXT and CSV Files/Reading Excel files.html 476 bytes
- 8. Visualizing Data/Data Analysis Exercise 6 Solution.html 456 bytes
- 6. Merging Data/Solution 5 of 6.html 372 bytes
- !! IMPORTANT Note !!.txt 287 bytes
- 5. Getting Started with Pandas/SmallFile.csv 264 bytes
- 4. Working with TXT and CSV Files/Data Analysis Exercise 1 Solution.html 255 bytes
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