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


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File Size:   1.36 GB
Creat Time:   2024-11-13
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Last Active:   2024-11-13
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Tags:    FreeTutorials Us UDEMY Data Processing with Python FTU
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File List

  1. 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.mp4 245.97 MB
  2. 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.mp4 125.81 MB
  3. 1. Getting Started/1. Installing Python and Python libraries.mp4 106.76 MB
  4. 8. Visualizing Data/2. More visualization techniques.mp4 73.11 MB
  5. 9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.mp4 58.30 MB
  6. 2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.mp4 56.21 MB
  7. 2. Downloading Many Files with Python/5. Downloading an FTP file.mp4 51.72 MB
  8. 7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.mp4 49.36 MB
  9. 3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.mp4 42.92 MB
  10. 6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.mp4 40.89 MB
  11. 10. Putting everything together/5. Practice No. 10 Polishing the Program, II.mp4 39.36 MB
  12. 6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.mp4 39.25 MB
  13. 1. Getting Started/2. Python editors - Spyder and iPython.mp4 38.15 MB
  14. 10. Putting everything together/6. Practice No. 11 Creating Python Modules.mp4 34.83 MB
  15. 3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.mp4 33.05 MB
  16. 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.mp4 32.93 MB
  17. 10. Putting everything together/4. Practice No. 9 Polishing the Program, I.mp4 28.00 MB
  18. 4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.mp4 27.86 MB
  19. 5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.mp4 27.13 MB
  20. 5. Getting Started with Pandas/1. Get started with Pandas.mp4 26.09 MB
  21. 10. Putting everything together/1. User interaction.mp4 24.15 MB
  22. 8. Visualizing Data/1. Data visualization with Python.mp4 23.32 MB
  23. 2. Downloading Many Files with Python/2. Navigating through FTP directory trees with Python.mp4 22.25 MB
  24. 4. Working with TXT and CSV Files/4. Exporting data from Python to files.mp4 21.57 MB
  25. 9. Mapping Spatial Data/1. Programmatically creating KML Google Earth files with Python.mp4 19.43 MB
  26. 2. Downloading Many Files with Python/3. Storing Python code.mp4 18.61 MB
  27. 8. Visualizing Data/3. Practice No. 7 Producing Image Files.mp4 16.37 MB
  28. 4. Working with TXT and CSV Files/1. Section introduction.mp4 14.38 MB
  29. 4. Working with TXT and CSV Files/6. Exporting data back to HTML and other file formats.mp4 12.02 MB
  30. 2. Downloading Many Files with Python/4. Creating an FTP function.mp4 9.57 MB
  31. 4. Working with TXT and CSV Files/5. Reading fixed width TXT files.mp4 9.18 MB
  32. 3. Extracting Data from Archive Files/2. Extracting RAR files.mp4 8.84 MB
  33. 2. Downloading Many Files with Python/1. Section introduction.mp4 7.91 MB
  34. 4. Working with TXT and CSV Files/5.1 Fixed Width.txt 2.89 MB
  35. 6. Merging Data/4.2 station-info.txt.txt 2.86 MB
  36. 7. Data Aggregation/1.1 Concatenated-Merged.zip.zip 1.02 MB
  37. 5. Getting Started with Pandas/2.2 All_Data_Files.zip.zip 897 KB
  38. 6. Merging Data/1.1 CSV_Files.zip.zip 844 KB
  39. 6. Merging Data/4.3 Concatenated.zip.zip 835 KB
  40. 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2.1 thefts_and_pop.xls.xls 462 KB
  41. 6. Merging Data/2.1 Income-By-State.zip.zip 150 KB
  42. 3. Extracting Data from Archive Files/1.1 Four Files Inside Extract Me.zip 49 KB
  43. 4. Working with TXT and CSV Files/2.2 Space Separated.txt 35 KB
  44. 4. Working with TXT and CSV Files/2.1 Comma Separated.txt 34 KB
  45. 4. Working with TXT and CSV Files/7.1 Income-By-State-1984.xls.xls 26 KB
  46. 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.srt 20 KB
  47. 11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.vtt 18 KB
  48. 2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.srt 14 KB
  49. 8. Visualizing Data/2. More visualization techniques.srt 14 KB
  50. 8. Visualizing Data/1. Data visualization with Python.srt 13 KB

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