[GigaCourse.Com] Udemy - The Ultimate Pandas Bootcamp Advanced Python Data Analysis

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[GigaCourse.Com] Udemy - The Ultimate Pandas Bootcamp Advanced Python Data Analysis[GigaCourse.Com] Udemy - The Ultimate Pandas Bootcamp Advanced Python Data Analysis

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[GigaCourse.Com] Udemy - The Ultimate Pandas Bootcamp Advanced Python Data Analysis.torrent
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a4c382ce4d2f6a9021f234c9b4d72b71747a9f15
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9.6 GB in 97 files
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Uploaded on 21-10-2021 by our crawler pet called "Spidey".
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Description

Udemy - The Ultimate Pandas Bootcamp: Advanced Python Data Analysis

Master the powerful pandas library to analyze, manipulate and visualize data. More than 10 datasets & bonuses included!

Created by Andy Bek
Last updated 10/2021
English
English [Auto]

For More Udemy Courses Visit: https://gigacourse.com

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Files in this torrent

FILENAMESIZE
1. Introduction/1. Course Structure.mp414.1 MB
1. Introduction/1. Course Structure.srt1.8 KB
1. Introduction/2. Pandas Is Not Single.mp417.8 MB
1. Introduction/2. Pandas Is Not Single.srt2.5 KB
1. Introduction/3. Anaconda.mp420.7 MB
1. Introduction/3. Anaconda.srt3.8 KB
1. Introduction/4. Jupyter Notebooks.mp448 MB
1. Introduction/4. Jupyter Notebooks.srt14 KB
1. Introduction/5. Cloud vs Local.mp426.5 MB
1. Introduction/5. Cloud vs Local.srt7 KB
1. Introduction/6. Hello, Python.mp432.8 MB
1. Introduction/6. Hello, Python.srt5.2 KB
1. Introduction/7. NumPy.mp462.2 MB
1. Introduction/7. NumPy.srt14.3 KB
10. Handling Date And Time/1. Section Intro.mp422.3 MB
10. Handling Date And Time/1. Section Intro.srt1.6 KB
10. Handling Date And Time/10. A Cool Shorcut read_csv() With parse_dates.mp417.6 MB
10. Handling Date And Time/10. A Cool Shorcut read_csv() With parse_dates.srt4.7 KB
10. Handling Date And Time/11. Indexing Dates.mp426.6 MB
10. Handling Date And Time/11. Indexing Dates.srt5.6 KB
10. Handling Date And Time/12. Skill Challenge.mp43.8 MB
10. Handling Date And Time/12. Skill Challenge.srt1.3 KB
10. Handling Date And Time/13. Solution.mp417.1 MB
10. Handling Date And Time/13. Solution.srt3.9 KB
10. Handling Date And Time/14. DateTimeIndex Attribute Accessors.mp438.1 MB
10. Handling Date And Time/14. DateTimeIndex Attribute Accessors.srt9.1 KB
10. Handling Date And Time/15. Creating Date Ranges.mp436.5 MB
10. Handling Date And Time/15. Creating Date Ranges.srt6.9 KB
10. Handling Date And Time/16. Shifting Dates With pd.DateOffset.mp436.2 MB
10. Handling Date And Time/16. Shifting Dates With pd.DateOffset.srt8.3 KB
10. Handling Date And Time/17. BONUS Timedeltas And Absolute Time.mp428.4 MB
10. Handling Date And Time/17. BONUS Timedeltas And Absolute Time.srt7.2 KB
10. Handling Date And Time/18. Resampling Timeseries.mp438.5 MB
10. Handling Date And Time/18. Resampling Timeseries.srt9.4 KB
10. Handling Date And Time/19. Upsampling And Interpolation.mp449.4 MB
10. Handling Date And Time/19. Upsampling And Interpolation.srt11.1 KB
10. Handling Date And Time/2. The Python datetime Module.mp440.3 MB
10. Handling Date And Time/2. The Python datetime Module.srt12.5 KB
10. Handling Date And Time/20. What About asfreq().mp436.6 MB
10. Handling Date And Time/20. What About asfreq().srt10.9 KB
10. Handling Date And Time/21. BONUS Rolling Windows.mp443.5 MB
10. Handling Date And Time/21. BONUS Rolling Windows.srt13.2 KB
10. Handling Date And Time/22. Skill Challenge.mp44.7 MB
10. Handling Date And Time/22. Skill Challenge.srt1.7 KB
10. Handling Date And Time/23. Solution.mp422.9 MB
10. Handling Date And Time/23. Solution.srt6.7 KB
10. Handling Date And Time/3. Parsing Dates From Text.mp452.8 MB
10. Handling Date And Time/3. Parsing Dates From Text.srt11.6 KB
10. Handling Date And Time/4. Even Better dateutil.mp423.9 MB
10. Handling Date And Time/4. Even Better dateutil.srt5.2 KB
10. Handling Date And Time/5. From Datetime To String.mp422.4 MB
10. Handling Date And Time/5. From Datetime To String.srt5.9 KB
10. Handling Date And Time/6. Performant Datetimes With Numpy.mp435.3 MB
10. Handling Date And Time/6. Performant Datetimes With Numpy.srt10.3 KB
10. Handling Date And Time/7. The Pandas Timestamp.mp424 MB
10. Handling Date And Time/7. The Pandas Timestamp.srt6.1 KB
10. Handling Date And Time/8. Our Dataset Brent Prices.mp429.4 MB
10. Handling Date And Time/8. Our Dataset Brent Prices.srt5.7 KB
10. Handling Date And Time/9. Date Parsing And DatetimeIndex.mp424.5 MB
10. Handling Date And Time/9. Date Parsing And DatetimeIndex.srt6.4 KB
11. Regex And Text Manipulation/1. Section Intro.mp416.7 MB
11. Regex And Text Manipulation/1. Section Intro.srt2.3 KB
11. Regex And Text Manipulation/10. Skill Challenge.mp43.2 MB
11. Regex And Text Manipulation/10. Skill Challenge.srt1.3 KB
11. Regex And Text Manipulation/11. Solution.mp422 MB
11. Regex And Text Manipulation/11. Solution.srt4.9 KB
11. Regex And Text Manipulation/12. Slicing Substrings.mp424.2 MB
11. Regex And Text Manipulation/12. Slicing Substrings.srt7 KB
11. Regex And Text Manipulation/13. Masking With String Methods.mp436.9 MB
11. Regex And Text Manipulation/13. Masking With String Methods.srt8.2 KB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp466.3 MB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().srt12.6 KB
11. Regex And Text Manipulation/15. Text Replacement.mp441.8 MB
11. Regex And Text Manipulation/15. Text Replacement.srt9.1 KB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.mp475 MB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.srt16.3 KB
11. Regex And Text Manipulation/17. More Regex Concepts.mp465.2 MB
11. Regex And Text Manipulation/17. More Regex Concepts.srt12.4 KB
11. Regex And Text Manipulation/18. How To Approach Regex.mp463.5 MB
11. Regex And Text Manipulation/18. How To Approach Regex.srt13.3 KB
11. Regex And Text Manipulation/19. Is This A Valid Email.mp480.1 MB
11. Regex And Text Manipulation/19. Is This A Valid Email.srt18.6 KB
11. Regex And Text Manipulation/2. Our Data Boston Marathon Runners.mp423.6 MB
11. Regex And Text Manipulation/2. Our Data Boston Marathon Runners.srt3.7 KB
11. Regex And Text Manipulation/20. BONUS What's The Point Of re.compile().mp418.3 MB
11. Regex And Text Manipulation/20. BONUS What's The Point Of re.compile().srt4.2 KB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp476.3 MB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.srt17.5 KB
11. Regex And Text Manipulation/22. Skill Challenge.mp45.4 MB
11. Regex And Text Manipulation/22. Skill Challenge.srt1.9 KB
11. Regex And Text Manipulation/23. Solution.mp472.4 MB
11. Regex And Text Manipulation/23. Solution.srt14.8 KB
11. Regex And Text Manipulation/3. String Methods In Python.mp428.8 MB
11. Regex And Text Manipulation/3. String Methods In Python.srt8.7 KB
11. Regex And Text Manipulation/4. Vectorized String Operations In Pandas.mp418.4 MB
11. Regex And Text Manipulation/4. Vectorized String Operations In Pandas.srt4.3 KB
11. Regex And Text Manipulation/5. Case Operations.mp414 MB

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