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1. Basic NumPy arrays zeros().mp4
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MP4
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8.7 MB
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1. Basic NumPy arrays zeros().srt
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SRT
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1.4 KB
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1. Installing Libraries.mp4
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MP4
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8.4 MB
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1. Installing Libraries.srt
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SRT
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716.8 B
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1. Introduction to NumPy arrays.mp4
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MP4
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7.2 MB
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1. Introduction to NumPy arrays.srt
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SRT
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716.8 B
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1. Introduction to Python.mp4
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MP4
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5.8 MB
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1. Introduction to Python.srt
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SRT
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1.1 KB
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1. What is a Python Pandas DataFrame.mp4
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MP4
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6.4 MB
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1. What is a Python Pandas DataFrame.srt
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SRT
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1.1 KB
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10. Arithmetic Operators.mp4
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MP4
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8 MB
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10. Arithmetic Operators.srt
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SRT
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2 KB
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10. Element wise addition.mp4
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MP4
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9 MB
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10. Element wise addition.srt
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SRT
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1.8 KB
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10. Statistical summary of the DataFrame.mp4
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MP4
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6.6 MB
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10. Statistical summary of the DataFrame.srt
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SRT
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512 B
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11. Comparison Operators.mp4
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MP4
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5.5 MB
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11. Comparison Operators.srt
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SRT
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819.2 B
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11. Element wise subtraction.mp4
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MP4
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6.4 MB
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11. Element wise subtraction.srt
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SRT
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819.2 B
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11. Slicing rows using bracket operators.mp4
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MP4
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8.8 MB
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11. Slicing rows using bracket operators.srt
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SRT
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1.4 KB
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12. Element wise multiplication.mp4
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MP4
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6.1 MB
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12. Element wise multiplication.srt
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SRT
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716.8 B
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12. Indexing columns using bracket operators.mp4
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MP4
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5.9 MB
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12. Indexing columns using bracket operators.srt
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SRT
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921.6 B
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12. Logical Operators.mp4
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MP4
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12.7 MB
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12. Logical Operators.srt
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SRT
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2.9 KB
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13. Boolean list.mp4
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MP4
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8.1 MB
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13. Boolean list.srt
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SRT
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1.2 KB
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13. Conditional statements.mp4
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MP4
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8.5 MB
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13. Conditional statements.srt
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SRT
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2 KB
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13. Element wise division.mp4
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MP4
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6.4 MB
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13. Element wise division.srt
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SRT
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1 KB
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14. Filtering Rows.mp4
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MP4
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9.2 MB
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14. Filtering Rows.srt
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SRT
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1.5 KB
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14. Loops.mp4
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MP4
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14.9 MB
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14. Loops.srt
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SRT
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3.8 KB
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14. Matrix multiplication.mp4
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MP4
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8.9 MB
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14. Matrix multiplication.srt
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SRT
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1.5 KB
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15. Filtering rows using & and operators.mp4
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MP4
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9.4 MB
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15. Filtering rows using & and operators.srt
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SRT
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2 KB
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15. Sequences Lists.mp4
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MP4
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12.3 MB
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15. Sequences Lists.srt
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SRT
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3.3 KB
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15. Statistics.mp4
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MP4
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10.3 MB
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15. Statistics.srt
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SRT
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2.7 KB
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16. Filtering data using loc().mp4
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MP4
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21.7 MB
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16. Filtering data using loc().srt
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SRT
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3.8 KB
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16. Sequences Dictionaries.mp4
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MP4
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10.8 MB
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16. Sequences Dictionaries.srt
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SRT
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2.6 KB
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17. Adding and deleting rows and columns.mp4
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MP4
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17.3 MB
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17. Adding and deleting rows and columns.srt
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SRT
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3 KB
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17. Sequences Tuples.mp4
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MP4
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8.7 MB
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17. Sequences Tuples.srt
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SRT
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1.2 KB
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18. Functions Built-in Functions.mp4
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MP4
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6 MB
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18. Functions Built-in Functions.srt
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SRT
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409.6 B
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18. Sorting Values.mp4
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MP4
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10.7 MB
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18. Sorting Values.srt
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SRT
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1.6 KB
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19. Exporting and saving pandas DataFrames.mp4
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MP4
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10.7 MB
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19. Exporting and saving pandas DataFrames.srt
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SRT
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1.3 KB
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19. Functions User-defined Functions.mp4
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MP4
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10.2 MB
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19. Functions User-defined Functions.srt
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SRT
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3.4 KB
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2. Basic NumPy arrays ones().mp4
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MP4
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5.5 MB
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2. Basic NumPy arrays ones().srt
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SRT
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819.2 B
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2. Creating NumPy arrays.mp4
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MP4
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32.6 MB
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2. Creating NumPy arrays.srt
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SRT
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4.5 KB
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2. Importing Libraries.mp4
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MP4
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8.7 MB
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2. Importing Libraries.srt
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SRT
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1.7 KB
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2. Setting up Python.mp4
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MP4
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15.5 MB
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2. Setting up Python.srt
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SRT
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3.1 KB
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2. What is a Python Pandas Series.mp4
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MP4
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4.1 MB
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2. What is a Python Pandas Series.srt
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SRT
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716.8 B
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20. Concatenating DataFrames.mp4
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MP4
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7.6 MB
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20. Concatenating DataFrames.srt
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SRT
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921.6 B
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21. groupby().mp4
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MP4
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16.9 MB
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21. groupby().srt
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SRT
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3.3 KB
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3. Basic NumPy arrays full().mp4
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MP4
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3.9 MB
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3. Basic NumPy arrays full().srt
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SRT
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1.1 KB
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3. DataFrame vs Series.mp4
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MP4
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3.8 MB
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3. DataFrame vs Series.srt
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SRT
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409.6 B
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3. Indexing NumPy arrays.mp4
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MP4
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26.6 MB
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3. Indexing NumPy arrays.srt
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SRT
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4.9 KB
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3. Pandas Library for Data Science.mp4
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MP4
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3 MB
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3. Pandas Library for Data Science.srt
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SRT
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716.8 B
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3. What is Jupyter.mp4
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MP4
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6.1 MB
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3. What is Jupyter.srt
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SRT
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1 KB
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4. Adding a scalar.mp4
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MP4
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8.6 MB
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4. Adding a scalar.srt
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SRT
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1.3 KB
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4. Anaconda Installation Windows, Mac & Ubuntu.mp4
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MP4
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31.1 MB
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4. Anaconda Installation Windows, Mac & Ubuntu.srt
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SRT
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5.9 KB
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4. Array shape.mp4
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MP4
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4.3 MB
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4. Array shape.srt
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SRT
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512 B
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4. Creating a DataFrame using lists.mp4
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MP4
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13.6 MB
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4. Creating a DataFrame using lists.srt
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SRT
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3.6 KB
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4. NumPy Library for Data Science.mp4
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MP4
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5.3 MB
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4. NumPy Library for Data Science.srt
|
SRT
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819.2 B
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5. Creating a DataFrame using a dictionary.mp4
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MP4
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5.7 MB
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5. Creating a DataFrame using a dictionary.srt
|
SRT
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1 KB
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5. How to implement Python in Jupyter.mp4
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MP4
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4.5 MB
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5. How to implement Python in Jupyter.srt
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SRT
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819.2 B
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5. Iterating Over NumPy Arrays.mp4
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MP4
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20.3 MB
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5. Iterating Over NumPy Arrays.srt
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SRT
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4.4 KB
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5. Pandas vs NumPy.mp4
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MP4
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6.3 MB
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5. Pandas vs NumPy.srt
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SRT
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512 B
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5. Subtracting a scalar.mp4
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MP4
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6.7 MB
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5. Subtracting a scalar.srt
|
SRT
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921.6 B
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6. Loading CSV data into python.mp4
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MP4
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10.1 MB
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6. Loading CSV data into python.srt
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SRT
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1.6 KB
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6. Managing Directories in Jupyter Notebook.mp4
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MP4
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16.4 MB
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6. Managing Directories in Jupyter Notebook.srt
|
SRT
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3.4 KB
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6. Matplotlib Library for Data Science.mp4
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MP4
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5.7 MB
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6. Matplotlib Library for Data Science.srt
|
SRT
|
512 B
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6. Multiplying by a scalar.mp4
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MP4
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9.1 MB
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6. Multiplying by a scalar.srt
|
SRT
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1 KB
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7. Changing the Index Column.mp4
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MP4
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6.5 MB
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7. Changing the Index Column.srt
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SRT
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1 KB
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7. Dividing by a scalar.mp4
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MP4
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8.9 MB
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7. Dividing by a scalar.srt
|
SRT
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1.5 KB
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7. InputOutput.mp4
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MP4
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8 MB
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7. InputOutput.srt
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SRT
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2 KB
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7. Seaborn Library for Data Science.mp4
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MP4
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2.8 MB
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7. Seaborn Library for Data Science.srt
|
SRT
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307.2 B
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8. Inplace.mp4
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MP4
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8.5 MB
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8. Inplace.srt
|
SRT
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1.3 KB
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8. Raise to a power.mp4
|
MP4
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5.3 MB
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8. Raise to a power.srt
|
SRT
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716.8 B
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8. Working with different datatypes.mp4
|
MP4
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6.6 MB
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8. Working with different datatypes.srt
|
SRT
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1.1 KB
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9. Examining the DataFrame Head & Tail.mp4
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MP4
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4.8 MB
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9. Examining the DataFrame Head & Tail.srt
|
SRT
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716.8 B
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9. Transpose.mp4
|
MP4
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5.3 MB
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9. Transpose.srt
|
SRT
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819.2 B
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9. Variables.mp4
|
MP4
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8.7 MB
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9. Variables.srt
|
SRT
|
1.9 KB
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Bonus Resources.txt
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TXT
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307.2 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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