[FreeTutorials.Us] [UDEMY] Data Processing with Python [FTU]

Creation Time	April 2, 2024, 3:32 p.m.
Last Access Time	May 10, 2025, 11:58 a.m.
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11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.mp4 240.2 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.mp4 122.9 MB
1. Getting Started/1. Installing Python and Python libraries.mp4 104.3 MB
8. Visualizing Data/2. More visualization techniques.mp4 71.4 MB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.mp4 56.9 MB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.mp4 54.9 MB
2. Downloading Many Files with Python/5. Downloading an FTP file.mp4 50.5 MB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.mp4 48.2 MB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.mp4 41.9 MB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.mp4 39.9 MB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.mp4 38.4 MB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.mp4 38.3 MB
1. Getting Started/2. Python editors - Spyder and iPython.mp4 37.3 MB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.mp4 34.0 MB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.mp4 32.3 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.mp4 32.2 MB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.mp4 27.3 MB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.mp4 27.2 MB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.mp4 26.5 MB
5. Getting Started with Pandas/1. Get started with Pandas.mp4 25.5 MB
10. Putting everything together/1. User interaction.mp4 23.6 MB
8. Visualizing Data/1. Data visualization with Python.mp4 22.8 MB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.mp4 21.7 MB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.mp4 21.1 MB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.mp4 19.0 MB
2. Downloading Many Files with Python/3. Storing Python code.mp4 18.2 MB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.mp4 16.0 MB
4. Working with TXT and CSV Files/1. Section introduction.mp4 14.0 MB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.mp4 11.7 MB
2. Downloading Many Files with Python/4. Creating an FTP function.mp4 9.3 MB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.mp4 9.0 MB
3. Extracting Data from Archive Files/2. Extracting RAR files.mp4 8.6 MB
2. Downloading Many Files with Python/1. Section introduction.mp4 7.7 MB
4. Working with TXT and CSV Files/5.1 Fixed Width.txt 2.8 MB
6. Merging Data/4.2 station-info.txt.txt 2.8 MB
7. Data Aggregation/1.1 Concatenated-Merged.zip.zip 1023.7 KB
5. Getting Started with Pandas/2.2 All_Data_Files.zip.zip 876.0 KB
6. Merging Data/1.1 CSV_Files.zip.zip 824.4 KB
6. Merging Data/4.3 Concatenated.zip.zip 815.5 KB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2.1 thefts_and_pop.xls.xls 452.0 KB
6. Merging Data/2.1 Income-By-State.zip.zip 147.0 KB
3. Extracting Data from Archive Files/1.1 Four Files Inside Extract Me.zip 48.3 KB
4. Working with TXT and CSV Files/2.2 Space Separated.txt 34.3 KB
4. Working with TXT and CSV Files/2.1 Comma Separated.txt 33.6 KB
4. Working with TXT and CSV Files/7.1 Income-By-State-1984.xls.xls 26.0 KB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.srt 19.9 KB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.vtt 17.9 KB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.srt 14.1 KB
8. Visualizing Data/2. More visualization techniques.srt 13.8 KB
8. Visualizing Data/1. Data visualization with Python.srt 13.3 KB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.vtt 12.8 KB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.srt 12.8 KB
8. Visualizing Data/2. More visualization techniques.vtt 12.5 KB
8. Visualizing Data/1. Data visualization with Python.vtt 12.0 KB
4. Working with TXT and CSV Files/7. Data Analysis Exercise 1.html 11.6 KB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.vtt 11.5 KB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.srt 11.4 KB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.vtt 10.4 KB
2. Downloading Many Files with Python/5. Downloading an FTP file.srt 9.7 KB
1. Getting Started/1. Installing Python and Python libraries.srt 9.7 KB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.srt 9.5 KB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.srt 9.3 KB
1. Getting Started/1. Installing Python and Python libraries.vtt 8.9 KB
2. Downloading Many Files with Python/5. Downloading an FTP file.vtt 8.8 KB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.srt 8.8 KB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.srt 8.8 KB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.vtt 8.6 KB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.vtt 8.5 KB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.srt 8.5 KB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.vtt 8.0 KB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.vtt 7.9 KB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.vtt 7.7 KB
5. Getting Started with Pandas/1. Get started with Pandas.srt 7.6 KB
10. Putting everything together/1. User interaction.srt 7.2 KB
5. Getting Started with Pandas/1. Get started with Pandas.vtt 6.9 KB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.srt 6.7 KB
10. Putting everything together/1. User interaction.vtt 6.5 KB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.srt 6.5 KB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.srt 6.3 KB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.srt 6.1 KB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.vtt 6.1 KB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.vtt 5.9 KB
6. Merging Data/5.1 Income-By-State-By-Year.zip.zip 5.8 KB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.srt 5.8 KB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.vtt 5.7 KB
2. Downloading Many Files with Python/3. Storing Python code.srt 5.7 KB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.vtt 5.6 KB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.srt 5.4 KB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.srt 5.3 KB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.vtt 5.3 KB
6. Merging Data/5. Data Analysis Exercise 4.html 5.2 KB
6. Merging Data/7.1 Two-Files-Inside.zip.zip 5.2 KB
2. Downloading Many Files with Python/3. Storing Python code.vtt 5.1 KB
8. Visualizing Data/4.1 US-States-Median-Income-Data.zip.zip 5.1 KB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.vtt 5.0 KB
5. Getting Started with Pandas/3. Data Analysis Exercise 2.html 5.0 KB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.vtt 4.8 KB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.srt 4.8 KB
6. Merging Data/7. Data Analysis Exercise 5.html 4.6 KB
8. Visualizing Data/4. Data Analysis Exercise 6.html 4.5 KB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.vtt 4.4 KB
1. Getting Started/2. Python editors - Spyder and iPython.srt 4.2 KB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.srt 3.8 KB
1. Getting Started/2. Python editors - Spyder and iPython.vtt 3.8 KB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.srt 3.8 KB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.vtt 3.5 KB
9. Mapping Spatial Data/2.1 Kml.py 3.5 KB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.vtt 3.4 KB
6. Merging Data/2. Data Analysis Exercise 3.html 3.2 KB
8. Visualizing Data/3.1 Plot.py 3.1 KB
2. Downloading Many Files with Python/4. Creating an FTP function.srt 3.1 KB
7. Data Aggregation/1.2 Pivot.py 2.9 KB
2. Downloading Many Files with Python/4. Creating an FTP function.vtt 2.8 KB
6. Merging Data/4.1 Join.py 2.6 KB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.srt 2.3 KB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/4. Bonus Lecture.html 2.3 KB
3. Extracting Data from Archive Files/2. Extracting RAR files.srt 2.1 KB
6. Merging Data/1.2 Concatenator.py 2.1 KB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.vtt 2.1 KB
3. Extracting Data from Archive Files/2. Extracting RAR files.vtt 1.9 KB
10. Putting everything together/2. Exercise User interaction.html 1.9 KB
2. Downloading Many Files with Python/1. Section introduction.srt 1.9 KB
4. Working with TXT and CSV Files/1. Section introduction.srt 1.9 KB
2. Downloading Many Files with Python/1. Section introduction.vtt 1.8 KB
4. Working with TXT and CSV Files/1. Section introduction.vtt 1.7 KB
5. Getting Started with Pandas/2.1 Add Field.py 1.6 KB
6. Merging Data/3. Data Analysis Exercise 3 Solution.html 1.5 KB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.srt 1.3 KB
3. Extracting Data from Archive Files/3.1 Extractor.py 1.2 KB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.vtt 1.2 KB
6. Merging Data/6. Data Analysis Exercise 4 Solution.html 912 bytes
2. Downloading Many Files with Python/7.1 Ftp Downloader.py 805 bytes
10. Putting everything together/3. Exercise User interaction Solution.html 711 bytes
5. Getting Started with Pandas/4. Data Analysis Exercise 2 Solution.html 670 bytes
2. Downloading Many Files with Python/6. About the next lecture.html 613 bytes
4. Working with TXT and CSV Files/3. Reading Excel files.html 612 bytes
5. Getting Started with Pandas/3.1 Income-By-State-1984.zip.zip 461 bytes
8. Visualizing Data/5. Data Analysis Exercise 6 Solution.html 456 bytes
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2. Downloading Many Files with Python/5.1 FtpPDFDownloader.py.py 346 bytes
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