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

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11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.mp4 251.9 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.mp4 128.8 MB
1. Getting Started/1. Installing Python and Python libraries.mp4 109.3 MB
8. Visualizing Data/2. More visualization techniques.mp4 74.9 MB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.mp4 59.7 MB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.mp4 57.6 MB
2. Downloading Many Files with Python/5. Downloading an FTP file.mp4 53.0 MB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.mp4 50.5 MB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.mp4 43.9 MB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.mp4 41.9 MB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.mp4 40.3 MB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.mp4 40.2 MB
1. Getting Started/2. Python editors - Spyder and iPython.mp4 39.1 MB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.mp4 35.7 MB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.mp4 33.8 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.mp4 33.7 MB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.mp4 28.7 MB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.mp4 28.5 MB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.mp4 27.8 MB
5. Getting Started with Pandas/1. Get started with Pandas.mp4 26.7 MB
10. Putting everything together/1. User interaction.mp4 24.7 MB
8. Visualizing Data/1. Data visualization with Python.mp4 23.9 MB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.mp4 22.8 MB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.mp4 22.1 MB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.mp4 19.9 MB
2. Downloading Many Files with Python/3. Storing Python code.mp4 19.1 MB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.mp4 16.8 MB
4. Working with TXT and CSV Files/1. Section introduction.mp4 14.7 MB
4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.mp4 12.3 MB
2. Downloading Many Files with Python/4. Creating an FTP function.mp4 9.8 MB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.mp4 9.4 MB
3. Extracting Data from Archive Files/2. Extracting RAR files.mp4 9.1 MB
2. Downloading Many Files with Python/1. Section introduction.mp4 8.1 MB
4. Working with TXT and CSV Files/5.1 Fixed Width.txt 3.0 MB
6. Merging Data/4.2 station-info.txt.txt 2.9 MB
7. Data Aggregation/1.1 Concatenated-Merged.zip.zip 1.0 MB
5. Getting Started with Pandas/2.2 All_Data_Files.zip.zip 897.0 kB
6. Merging Data/1.1 CSV_Files.zip.zip 844.2 kB
6. Merging Data/4.3 Concatenated.zip.zip 835.1 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2.1 thefts_and_pop.xls.xls 462.8 kB
6. Merging Data/2.1 Income-By-State.zip.zip 150.6 kB
3. Extracting Data from Archive Files/1.1 Four Files Inside Extract Me.zip 49.5 kB
4. Working with TXT and CSV Files/2.2 Space Separated.txt 35.1 kB
4. Working with TXT and CSV Files/2.1 Comma Separated.txt 34.4 kB
4. Working with TXT and CSV Files/7.1 Income-By-State-1984.xls.xls 26.6 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.srt 20.4 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.vtt 18.3 kB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.srt 14.4 kB
8. Visualizing Data/2. More visualization techniques.srt 14.1 kB
8. Visualizing Data/1. Data visualization with Python.srt 13.6 kB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.vtt 13.1 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.srt 13.1 kB
8. Visualizing Data/2. More visualization techniques.vtt 12.8 kB
8. Visualizing Data/1. Data visualization with Python.vtt 12.3 kB
4. Working with TXT and CSV Files/7. Data Analysis Exercise 1.html 11.8 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.vtt 11.8 kB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.srt 11.7 kB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.vtt 10.6 kB
2. Downloading Many Files with Python/5. Downloading an FTP file.srt 10.0 kB
1. Getting Started/1. Installing Python and Python libraries.srt 10.0 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.srt 9.7 kB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.srt 9.6 kB
1. Getting Started/1. Installing Python and Python libraries.vtt 9.1 kB
2. Downloading Many Files with Python/5. Downloading an FTP file.vtt 9.0 kB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.srt 9.0 kB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.srt 9.0 kB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.vtt 8.8 kB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.vtt 8.7 kB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.srt 8.7 kB
2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.vtt 8.2 kB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.vtt 8.1 kB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.vtt 7.9 kB
5. Getting Started with Pandas/1. Get started with Pandas.srt 7.8 kB
10. Putting everything together/1. User interaction.srt 7.4 kB
5. Getting Started with Pandas/1. Get started with Pandas.vtt 7.1 kB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.srt 6.9 kB
10. Putting everything together/1. User interaction.vtt 6.7 kB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.srt 6.6 kB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.srt 6.5 kB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.srt 6.3 kB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.vtt 6.3 kB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.vtt 6.0 kB
6. Merging Data/5.1 Income-By-State-By-Year.zip.zip 6.0 kB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.srt 6.0 kB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.vtt 5.9 kB
2. Downloading Many Files with Python/3. Storing Python code.srt 5.9 kB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.vtt 5.7 kB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.srt 5.6 kB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.srt 5.5 kB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.vtt 5.4 kB
6. Merging Data/5. Data Analysis Exercise 4.html 5.3 kB
6. Merging Data/7.1 Two-Files-Inside.zip.zip 5.3 kB
2. Downloading Many Files with Python/3. Storing Python code.vtt 5.3 kB
8. Visualizing Data/4.1 US-States-Median-Income-Data.zip.zip 5.2 kB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.vtt 5.1 kB
5. Getting Started with Pandas/3. Data Analysis Exercise 2.html 5.1 kB
9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.vtt 4.9 kB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.srt 4.9 kB
6. Merging Data/7. Data Analysis Exercise 5.html 4.7 kB
8. Visualizing Data/4. Data Analysis Exercise 6.html 4.6 kB
4. Working with TXT and CSV Files/4. Exporting data from Python to files.vtt 4.5 kB
1. Getting Started/2. Python editors - Spyder and iPython.srt 4.3 kB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.srt 3.9 kB
1. Getting Started/2. Python editors - Spyder and iPython.vtt 3.9 kB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.srt 3.9 kB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.vtt 3.6 kB
9. Mapping Spatial Data/2.1 Kml.py 3.5 kB
8. Visualizing Data/3. Practice No. 7 Producing Image Files.vtt 3.5 kB
6. Merging Data/2. Data Analysis Exercise 3.html 3.3 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 3.0 kB
2. Downloading Many Files with Python/4. Creating an FTP function.vtt 2.9 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 2.2 kB
6. Merging Data/1.2 Concatenator.py 2.2 kB
4. Working with TXT and CSV Files/5. Reading fixed width TXT files.vtt 2.2 kB
3. Extracting Data from Archive Files/2. Extracting RAR files.vtt 2.0 kB
10. Putting everything together/2. Exercise User interaction.html 2.0 kB
2. Downloading Many Files with Python/1. Section introduction.srt 2.0 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 1.6 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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6. Merging Data/8. Solution 5 of 6.html 372 Bytes
2. Downloading Many Files with Python/5.1 FtpPDFDownloader.py.py 346 Bytes
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5. Getting Started with Pandas/1.1 SmallFile.csv.csv 264 Bytes
4. Working with TXT and CSV Files/8. Data Analysis Exercise 1 Solution.html 255 Bytes
0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url 239 Bytes
0. Websites you may like/How you can help Team-FTU.txt 229 Bytes
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