FreeTutorials Us UDEMY Data Processing with Python FTU | 54D3157B177CA6533F3DCF146BC17C597496158F

FreeTutorials Us UDEMY Data Processing with Python FTU

Name	[FreeTutorials.Us] [UDEMY] Data Processing with Python [FTU]	DOWNLOAD Copy Link
Total Size	1.4 GB
Total Files	148
Last Seen	2024-09-01 23:50
Hash	54D3157B177CA6533F3DCF146BC17C597496158F

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4. (FTUApps.com) Download Cracked Developers Applications For Free.url	0.2 KB
How you can help Team-FTU.txt	0.2 KB
/1. Getting Started/
1. Installing Python and Python libraries.mp4	109.3 MB
1. Installing Python and Python libraries.srt	10.0 KB
1. Installing Python and Python libraries.vtt	9.1 KB
2. Python editors - Spyder and iPython.mp4	39.1 MB
2. Python editors - Spyder and iPython.srt	4.3 KB
2. Python editors - Spyder and iPython.vtt	3.9 KB
/10. Putting everything together/
1. User interaction.mp4	24.7 MB
1. User interaction.srt	7.4 KB
1. User interaction.vtt	6.7 KB
2. Exercise User interaction.html	2.0 KB
3. Exercise User interaction Solution.html	0.7 KB
4. Practice No. 9 Polishing the Program, I.mp4	28.7 MB
4. Practice No. 9 Polishing the Program, I.srt	6.3 KB
4. Practice No. 9 Polishing the Program, I.vtt	5.7 KB
5. Practice No. 10 Polishing the Program, II.mp4	40.3 MB
5. Practice No. 10 Polishing the Program, II.srt	6.5 KB
5. Practice No. 10 Polishing the Program, II.vtt	5.9 KB
6. Practice No. 11 Creating Python Modules.mp4	35.7 MB
6. Practice No. 11 Creating Python Modules.srt	6.0 KB
6. Practice No. 11 Creating Python Modules.vtt	5.4 KB
/11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/
1. Getting started with Jupyter Notebooks.mp4	33.7 MB
1. Getting started with Jupyter Notebooks.srt	13.1 KB
1. Getting started with Jupyter Notebooks.vtt	11.8 KB
2. Data cleaning project, Part I.mp4	128.8 MB
2. Data cleaning project, Part I.srt	9.7 KB
2. Data cleaning project, Part I.vtt	8.8 KB
2.1 thefts_and_pop.xls.xls	462.8 KB
3. Data cleaning project, Part II.mp4	251.9 MB
3. Data cleaning project, Part II.srt	20.4 KB
3. Data cleaning project, Part II.vtt	18.3 KB
4. Bonus Lecture.html	2.3 KB
/2. Downloading Many Files with Python/
1. Section introduction.mp4	8.1 MB
1. Section introduction.srt	2.0 KB
1. Section introduction.vtt	1.8 KB
2. Navigating through FTP directory trees with Python.mp4	22.8 MB
2. Navigating through FTP directory trees with Python.srt	9.0 KB
2. Navigating through FTP directory trees with Python.vtt	8.2 KB
3. Storing Python code.mp4	19.1 MB
3. Storing Python code.srt	5.9 KB
3. Storing Python code.vtt	5.3 KB
4. Creating an FTP function.mp4	9.8 MB
4. Creating an FTP function.srt	3.1 KB
4. Creating an FTP function.vtt	2.9 KB
5. Downloading an FTP file.mp4	53.0 MB
5. Downloading an FTP file.srt	10.0 KB
5. Downloading an FTP file.vtt	9.0 KB
5.1 FtpPDFDownloader.py.py	0.3 KB
6. About the next lecture.html	0.6 KB
7. Practice No.1 Creating an FTP File Downloader.mp4	57.6 MB
7. Practice No.1 Creating an FTP File Downloader.srt	14.4 KB
7. Practice No.1 Creating an FTP File Downloader.vtt	13.1 KB
7.1 Ftp Downloader.py	0.8 KB
/3. Extracting Data from Archive Files/
1. Extracting ZIP, TAR, GZ and other archive file formats.mp4	43.9 MB
1. Extracting ZIP, TAR, GZ and other archive file formats.srt	3.9 KB
1. Extracting ZIP, TAR, GZ and other archive file formats.vtt	3.6 KB
1.1 Four Files Inside Extract Me.zip	49.5 KB
2. Extracting RAR files.mp4	9.1 MB
2. Extracting RAR files.srt	2.2 KB
2. Extracting RAR files.vtt	2.0 KB
3. Practice No.2 Creating a Batch Archive Extractor.mp4	33.8 MB
3. Practice No.2 Creating a Batch Archive Extractor.srt	6.9 KB
3. Practice No.2 Creating a Batch Archive Extractor.vtt	6.3 KB
3.1 Extractor.py	1.2 KB
/4. Working with TXT and CSV Files/
1. Section introduction.mp4	14.7 MB
1. Section introduction.srt	1.9 KB
1. Section introduction.vtt	1.7 KB
2. Reading delimited TXT and CSV files.mp4	28.5 MB
2. Reading delimited TXT and CSV files.srt	11.7 KB
2. Reading delimited TXT and CSV files.vtt	10.6 KB
2.1 Comma Separated.txt	34.4 KB
2.2 Space Separated.txt	35.1 KB
3. Reading Excel files.html	0.6 KB
4. Exporting data from Python to files.mp4	22.1 MB
4. Exporting data from Python to files.srt	4.9 KB
4. Exporting data from Python to files.vtt	4.5 KB
5. Reading fixed width TXT files.mp4	9.4 MB
5. Reading fixed width TXT files.srt	2.3 KB
5. Reading fixed width TXT files.vtt	2.2 KB
5.1 Fixed Width.txt	3.0 MB
6. Exporting data back to HTML and other file formats.mp4	12.3 MB
6. Exporting data back to HTML and other file formats.srt	1.3 KB
6. Exporting data back to HTML and other file formats.vtt	1.2 KB
7. Data Analysis Exercise 1.html	11.8 KB
7.1 Income-By-State-1984.xls.xls	26.6 KB
8. Data Analysis Exercise 1 Solution.html	0.3 KB
/5. Getting Started with Pandas/
1. Get started with Pandas.mp4	26.7 MB
1. Get started with Pandas.srt	7.8 KB
1. Get started with Pandas.vtt	7.1 KB
1.1 SmallFile.csv.csv	0.3 KB
2. Practice No.3 Calculating and Adding Columns to CSV Files.mp4	27.8 MB
2. Practice No.3 Calculating and Adding Columns to CSV Files.srt	5.6 KB
2. Practice No.3 Calculating and Adding Columns to CSV Files.vtt	5.1 KB
2.1 Add Field.py	1.6 KB
2.2 All_Data_Files.zip.zip	897.0 KB
3. Data Analysis Exercise 2.html	5.1 KB
3.1 Income-By-State-1984.zip.zip	0.5 KB
4. Data Analysis Exercise 2 Solution.html	0.7 KB
/6. Merging Data/
1. Practical No.4 Concatenating multiple CSV files.mp4	40.2 MB
1. Practical No.4 Concatenating multiple CSV files.srt	6.6 KB
1. Practical No.4 Concatenating multiple CSV files.vtt	6.0 KB
1.1 CSV_Files.zip.zip	844.2 KB
1.2 Concatenator.py	2.2 KB
2. Data Analysis Exercise 3.html	3.3 KB
2.1 Income-By-State.zip.zip	150.6 KB
3. Data Analysis Exercise 3 Solution.html	1.6 KB
4. Practice No. 5 Joining Data Based on a Matching Column.mp4	41.9 MB
4. Practice No. 5 Joining Data Based on a Matching Column.srt	9.6 KB
4. Practice No. 5 Joining Data Based on a Matching Column.vtt	8.7 KB
4.1 Join.py	2.6 KB
4.2 station-info.txt.txt	2.9 MB
4.3 Concatenated.zip.zip	835.1 KB
5. Data Analysis Exercise 4.html	5.3 KB
5.1 Income-By-State-By-Year.zip.zip	6.0 KB
6. Data Analysis Exercise 4 Solution.html	0.9 KB
7. Data Analysis Exercise 5.html	4.7 KB
7.1 Two-Files-Inside.zip.zip	5.3 KB
8. Solution 5 of 6.html	0.4 KB
/7. Data Aggregation/
1. Practice No. 6 Pivoting Large Amounts of Data.mp4	50.5 MB
1. Practice No. 6 Pivoting Large Amounts of Data.srt	9.0 KB
1. Practice No. 6 Pivoting Large Amounts of Data.vtt	8.1 KB
1.1 Concatenated-Merged.zip.zip	1.0 MB
1.2 Pivot.py	3.0 KB
/8. Visualizing Data/
1. Data visualization with Python.mp4	23.9 MB
1. Data visualization with Python.srt	13.6 KB
1. Data visualization with Python.vtt	12.3 KB
2. More visualization techniques.mp4	74.9 MB
2. More visualization techniques.srt	14.1 KB
2. More visualization techniques.vtt	12.8 KB
3. Practice No. 7 Producing Image Files.mp4	16.8 MB
3. Practice No. 7 Producing Image Files.srt	3.9 KB
3. Practice No. 7 Producing Image Files.vtt	3.5 KB
3.1 Plot.py	3.1 KB
4. Data Analysis Exercise 6.html	4.6 KB
4.1 US-States-Median-Income-Data.zip.zip	5.2 KB
5. Data Analysis Exercise 6 Solution.html	0.5 KB
/9. Mapping Spatial Data/
1. Programmatically creating KML Google Earth files with Python.mp4	19.9 MB
1. Programmatically creating KML Google Earth files with Python.srt	5.5 KB
1. Programmatically creating KML Google Earth files with Python.vtt	4.9 KB
2. Practice No, 8 Creating KML Google Earth fIles from CSV data.mp4	59.7 MB
2. Practice No, 8 Creating KML Google Earth fIles from CSV data.srt	8.7 KB
2. Practice No, 8 Creating KML Google Earth fIles from CSV data.vtt	7.9 KB
2.1 Kml.py	3.5 KB
Total files 148