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LinkedIn - Pandas Essential Training 2024-5

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Title: LinkedIn - Pandas Essential TrainingGroup: 5Year: 2024Source: LinkedIn
Info Hash
F88DB9B95D6655E7B475388B0B447658429A1741
Source
Unverified
Total Size
476.99 MB
Total Files
84
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
02 - 1. Technical Setup/04 - Reading tabular data into pandas.mp429.28 MB
01 - Introduction/01 - Welcome to pandas.mp42.66 MB
01 - Introduction/01 - Welcome to pandas.srt1.28 KB
02 - 1. Technical Setup/01 - Using Google Colab.mp46.93 MB
02 - 1. Technical Setup/01 - Using Google Colab.srt6.7 KB
02 - 1. Technical Setup/02 - What is pandas.mp43.04 MB
02 - 1. Technical Setup/02 - What is pandas.srt3.18 KB
02 - 1. Technical Setup/03 - Using pandas.mp412.53 MB
02 - 1. Technical Setup/03 - Using pandas.srt7.44 KB
Read me.txt115 B
02 - 1. Technical Setup/04 - Reading tabular data into pandas.srt13.82 KB
03 - 2. Fundamentals of Working with pandas/01 - Get an overview of the data and displaying it.mp421.02 MB
03 - 2. Fundamentals of Working with pandas/01 - Get an overview of the data and displaying it.srt13.06 KB
03 - 2. Fundamentals of Working with pandas/02 - Select a Series (column).mp412.18 MB
03 - 2. Fundamentals of Working with pandas/02 - Select a Series (column).srt6.79 KB
03 - 2. Fundamentals of Working with pandas/03 - Challenge Fundamentals.mp41.56 MB
03 - 2. Fundamentals of Working with pandas/03 - Challenge Fundamentals.srt1.86 KB
03 - 2. Fundamentals of Working with pandas/04 - Solution Fundamentals.mp418.77 MB
03 - 2. Fundamentals of Working with pandas/04 - Solution Fundamentals.srt11.04 KB
03 - 2. Fundamentals of Working with pandas/05 - Python lists and dictionaries.mp43.88 MB
03 - 2. Fundamentals of Working with pandas/05 - Python lists and dictionaries.srt3.61 KB
03 - 2. Fundamentals of Working with pandas/06 - Rename a Series (or column).mp416.37 MB
03 - 2. Fundamentals of Working with pandas/06 - Rename a Series (or column).srt9.48 KB
03 - 2. Fundamentals of Working with pandas/07 - Remove a Series (column) or row.mp421.74 MB
03 - 2. Fundamentals of Working with pandas/07 - Remove a Series (column) or row.srt15.09 KB
03 - 2. Fundamentals of Working with pandas/08 - Filtering rows for a single condition.mp48.5 MB
03 - 2. Fundamentals of Working with pandas/08 - Filtering rows for a single condition.srt6 KB
03 - 2. Fundamentals of Working with pandas/09 - Filter rows for multiple conditions.mp410.63 MB
03 - 2. Fundamentals of Working with pandas/09 - Filter rows for multiple conditions.srt6.45 KB
03 - 2. Fundamentals of Working with pandas/10 - Using String methods.mp411.62 MB
03 - 2. Fundamentals of Working with pandas/10 - Using String methods.srt6.58 KB
03 - 2. Fundamentals of Working with pandas/11 - Sorting a DataFrame or Series.mp413.34 MB
03 - 2. Fundamentals of Working with pandas/11 - Sorting a DataFrame or Series.srt6.64 KB
04 - 3. Intermediate pandas Techniques/01 - Working with data types (dtype).mp411.93 MB
04 - 3. Intermediate pandas Techniques/01 - Working with data types (dtype).srt9.06 KB
04 - 3. Intermediate pandas Techniques/02 - Memory usage of dtypes.mp411.09 MB
04 - 3. Intermediate pandas Techniques/02 - Memory usage of dtypes.srt7.36 KB
04 - 3. Intermediate pandas Techniques/03 - Defining dtypes when you read in a file.mp47.73 MB
04 - 3. Intermediate pandas Techniques/03 - Defining dtypes when you read in a file.srt5.68 KB
04 - 3. Intermediate pandas Techniques/04 - Python functions.mp412.15 MB
04 - 3. Intermediate pandas Techniques/04 - Python functions.srt8.35 KB
04 - 3. Intermediate pandas Techniques/05 - Working with indexes.mp414.96 MB
04 - 3. Intermediate pandas Techniques/05 - Working with indexes.srt9.82 KB
04 - 3. Intermediate pandas Techniques/06 - Being productive in pandas My best practices.mp421.73 MB
04 - 3. Intermediate pandas Techniques/07 - Creating Series and DataFrames.mp44.42 MB
04 - 3. Intermediate pandas Techniques/07 - Creating Series and DataFrames.srt3.72 KB
04 - 3. Intermediate pandas Techniques/08 - Working with dates.mp49.21 MB
04 - 3. Intermediate pandas Techniques/08 - Working with dates.srt6.53 KB
04 - 3. Intermediate pandas Techniques/09 - Combining DataFrames.mp413.22 MB
04 - 3. Intermediate pandas Techniques/09 - Combining DataFrames.srt9.57 KB
04 - 3. Intermediate pandas Techniques/10 - Combining datasets.mp413.75 MB
04 - 3. Intermediate pandas Techniques/10 - Combining datasets.srt8.25 KB
04 - 3. Intermediate pandas Techniques/11 - Working with missing data.mp413.64 MB
04 - 3. Intermediate pandas Techniques/11 - Working with missing data.srt9.12 KB
04 - 3. Intermediate pandas Techniques/12 - Removing missing data.mp411.6 MB
04 - 3. Intermediate pandas Techniques/12 - Removing missing data.srt6.09 KB
04 - 3. Intermediate pandas Techniques/13 - Working with duplicates.mp47.98 MB
04 - 3. Intermediate pandas Techniques/13 - Working with duplicates.srt4.67 KB
04 - 3. Intermediate pandas Techniques/14 - Validating data.mp418.57 MB
04 - 3. Intermediate pandas Techniques/14 - Validating data.srt11.74 KB
04 - 3. Intermediate pandas Techniques/15 - Updating the dtypes.mp410.12 MB
04 - 3. Intermediate pandas Techniques/15 - Updating the dtypes.srt7.78 KB
04 - 3. Intermediate pandas Techniques/16 - Combine the datasets.mp45.56 MB
04 - 3. Intermediate pandas Techniques/16 - Combine the datasets.srt3.27 KB
05 - 4. Visualizations/01 - Plotting data.mp410.69 MB
05 - 4. Visualizations/01 - Plotting data.srt6.69 KB
05 - 4. Visualizations/02 - Working with colormaps and seaborn.mp412.48 MB
05 - 4. Visualizations/02 - Working with colormaps and seaborn.srt7.93 KB
05 - 4. Visualizations/03 - Working with groupby.mp414.78 MB
05 - 4. Visualizations/03 - Working with groupby.srt10.83 KB
05 - 4. Visualizations/04 - Reshaping data Stacking, unstacking, and MultiIndex.mp413.03 MB
05 - 4. Visualizations/04 - Reshaping data Stacking, unstacking, and MultiIndex.srt10.28 KB
05 - 4. Visualizations/05 - Challenge Visualizations.mp41.32 MB
05 - 4. Visualizations/05 - Challenge Visualizations.srt1.12 KB
05 - 4. Visualizations/06 - Solution Visualizations.mp413.37 MB
05 - 4. Visualizations/06 - Solution Visualizations.srt9.24 KB
05 - 4. Visualizations/07 - Creating your own colormaps.mp44.1 MB
05 - 4. Visualizations/07 - Creating your own colormaps.srt2.9 KB
06 - 5. Learning Recap/01 - Final challenge Recap.mp41.59 MB
06 - 5. Learning Recap/01 - Final challenge Recap.srt1.22 KB
06 - 5. Learning Recap/02 - Solution Recap.mp422.87 MB
06 - 5. Learning Recap/02 - Solution Recap.srt12.78 KB
07 - Conclusion/01 - Your next steps in pandas.mp4777.32 KB
07 - Conclusion/01 - Your next steps in pandas.srt1.33 KB

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