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文档列表

9. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
9. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
5. Python Exercises/2. Solutions.mp4 114.7 MB
1. Introduction/1. What is Data analysis.mp4 100.4 MB
6. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
6. Numpy/1. Creating NumPy array.mp4 89.3 MB
8. Data Frame Pandas/13. sorting values.mp4 88.9 MB
8. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
1. Introduction/2. Introduction to Pandas.mp4 82.2 MB
8. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
2. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
1. Introduction/3. Course FAQ.mp4 77.2 MB
8. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
8. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB
4. Python Crash Course [Optional]/6. Lists and tuples.mp4 65.8 MB
6. Numpy/3. Some more Numpy Functions.mp4 64.9 MB
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.mp4 64.7 MB
6. Numpy/8. Split, Concatenate, Tile and Repeat array.mp4 62.8 MB
7. Series Pandas/6. Series attributes & methods.mp4 61.2 MB
2. Installation and IDE/4. Anaconda + Conda Command.mp4 59.9 MB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.mp4 59.1 MB
8. Data Frame Pandas/20. .apply() method on multiple column.mp4 58.3 MB
2. Installation and IDE/1. Different ways of installation.mp4 56.0 MB
7. Series Pandas/2. Introduction to Series.mp4 54.0 MB
6. Numpy/5. List vs NumPy Array.mp4 53.6 MB
16. Data Frame Multiindex/7. Transposing DataFrame.mp4 53.5 MB
8. Data Frame Pandas/17. .astype() method - optimize memory requirement.mp4 52.3 MB
4. Python Crash Course [Optional]/2. Python Basics - I.mp4 52.3 MB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.mp4 51.1 MB
16. Data Frame Multiindex/8. UnStack and Stack Data.mp4 51.0 MB
15. Data Grouping/1. Importing Data Grouping.mp4 50.9 MB
15. Data Grouping/4. Sum, Mean, Max, Min Method.mp4 50.7 MB
7. Series Pandas/4. Create Series from CSV file.mp4 50.5 MB
7. Series Pandas/3. Create Series from Python Object.mp4 50.0 MB
2. Installation and IDE/2. Download and Install anaconda + Pandas.mp4 48.9 MB
6. Numpy/7. Insert, Append and Delete NumPy array.mp4 47.4 MB
8. Data Frame Pandas/5. Select one or more than one column.mp4 47.0 MB
14. Working with Text Data/1. Getting started with Data.mp4 46.6 MB
6. Numpy/4. Linear algebra with NumPy.mp4 46.0 MB
14. Working with Text Data/2. Some String methods.mp4 45.5 MB
14. Working with Text Data/4. Filtering Message with String.mp4 43.4 MB
16. Data Frame Multiindex/4. Index - Meta Information.mp4 41.3 MB
15. Data Grouping/5. .agg method.mp4 41.2 MB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.mp4 41.0 MB
16. Data Frame Multiindex/9. Pivot and Pivot_table Method.mp4 40.8 MB
8. Data Frame Pandas/9. Filtering Data with multiple condition.mp4 40.7 MB
8. Data Frame Pandas/14. sort index and inplace parameter.mp4 39.5 MB
15. Data Grouping/2. Getting Group.mp4 39.2 MB
8. Data Frame Pandas/10. Filtering Data with .isin() method.mp4 39.0 MB
17. Working with Time series data/1. Python Date and Datetime module.mp4 37.9 MB
8. Data Frame Pandas/7. Drop missing row or column.mp4 37.7 MB
4. Python Crash Course [Optional]/8. Dictionary and set.mp4 37.0 MB
8. Data Frame Pandas/19. .apply() method on single column.mp4 36.4 MB
6. Numpy/6. Views vs Copy - Numpy Array.mp4 36.4 MB
4. Python Crash Course [Optional]/1. Introduction.mp4 35.9 MB
8. Data Frame Pandas/18. set_index() change index column.mp4 35.9 MB
7. Series Pandas/10. inplace parameter, sort_values & sort_index.mp4 35.0 MB
7. Series Pandas/16. .apply() and .map() method.mp4 34.9 MB
16. Data Frame Multiindex/3. Sorting MultiIndex.mp4 33.6 MB
15. Data Grouping/3. Size, First and Last Method.mp4 32.6 MB
8. Data Frame Pandas/4. Adding new column.mp4 32.0 MB
8. Data Frame Pandas/12. unique() & nunique() method.mp4 31.4 MB
14. Working with Text Data/5. Splitting Text.mp4 30.9 MB
5. Python Exercises/1. Exercise Overview.mp4 30.6 MB
8. Data Frame Pandas/21. Fetch random sample.mp4 30.4 MB
9. Pandas Exercise/1. Exercise Overview Google App store dataset.mp4 30.1 MB
8. Data Frame Pandas/11. Filtering Data with .between() method.mp4 29.9 MB
8. Data Frame Pandas/6. Broadcasting operation.mp4 29.8 MB
4. Python Crash Course [Optional]/4. Python Basics - II.mp4 29.6 MB
4. Python Crash Course [Optional]/10. Functions.mp4 27.7 MB
7. Series Pandas/13. Extract Value from Series.mp4 27.0 MB
2. Installation and IDE/9. Import Library.mp4 24.7 MB
16. Data Frame Multiindex/2. Set multiple column as index.mp4 24.5 MB
8. Data Frame Pandas/16. .ix() method.mp4 23.1 MB
7. Series Pandas/8. Label indexing.mp4 20.4 MB
18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.mp4 19.4 MB
7. Series Pandas/12. Apply Python built in function on Series.mp4 14.6 MB
3. Code Download/1.1 code.zip.zip 14.3 MB
3. Code Download/1.2 code.zip.zip 14.3 MB
11. Pandas Options/2. precision.mp4 13.7 MB
16. Data Frame Multiindex/5. Change Index names.mp4 10.7 MB
14. Working with Text Data/6. Processing on Column names.mp4 10.6 MB
16. Data Frame Multiindex/1. Import Data - Multiindex.mp4 10.0 MB
10. Panel Pandas/1. Warning - Panel Data type.mp4 9.0 MB
7. Series Pandas/15. .value_counts() Method.mp4 8.1 MB
3. Code Download/1.1 Pandas.pdf.pdf 665.9 kB
3. Code Download/1.2 Pandas.pdf.pdf 665.9 kB
9. Pandas Exercise/1.1 Pandas Exercise.zip.zip 317.0 kB
18. Data cleaning/1.1 Data Cleaning.zip.zip 267.3 kB
8. Data Frame Pandas/2.1 Read_CSV.pdf.pdf 109.9 kB
8. Data Frame Pandas/5.1 Select Column.pdf.pdf 87.3 kB
6. Numpy/1.1 Numpy.zip.zip 52.0 kB
6. Numpy/1.2 Numpy.zip.zip 52.0 kB
6. Numpy/1.3 Numpy.zip.zip 52.0 kB
5. Python Exercises/2. Solutions.vtt 22.4 kB
6. Numpy/1. Creating NumPy array.vtt 18.1 kB
6. Numpy/2. Numpy indexing and selection, Functions.vtt 17.8 kB
4. Python Crash Course [Optional]/6. Lists and tuples.vtt 17.6 kB
4. Python Crash Course [Optional]/2. Python Basics - I.vtt 17.6 kB
9. Pandas Exercise/2. Pandas Exercise Solution - I.vtt 17.2 kB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.vtt 17.1 kB
9. Pandas Exercise/3. Pandas Exercise Solution - II.vtt 15.9 kB
8. Data Frame Pandas/15. .loc() and .iloc() method.vtt 15.5 kB
2. Installation and IDE/7. Getting started with Jupyter Lab.vtt 15.2 kB
14. Working with Text Data/3. More String methods.vtt 14.9 kB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.vtt 14.5 kB
7. Series Pandas/6. Series attributes & methods.vtt 14.0 kB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.vtt 13.9 kB
8. Data Frame Pandas/3. Data frame attributes and methods.vtt 13.7 kB
6. Numpy/3. Some more Numpy Functions.vtt 13.1 kB
6. Numpy/8. Split, Concatenate, Tile and Repeat array.vtt 13.1 kB
6. Numpy/5. List vs NumPy Array.vtt 12.5 kB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.vtt 12.3 kB
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.vtt 12.2 kB
7. Series Pandas/3. Create Series from Python Object.vtt 11.8 kB
4. Python Crash Course [Optional]/8. Dictionary and set.vtt 11.7 kB
8. Data Frame Pandas/8. Filtering Data with one condition.vtt 11.6 kB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.vtt 10.9 kB
6. Numpy/7. Insert, Append and Delete NumPy array.vtt 10.9 kB
17. Working with Time series data/3. Generate Time sequence.vtt 10.7 kB
8. Data Frame Pandas/13. sorting values.vtt 10.5 kB
11. Pandas Options/1. max_rows , max_columns.vtt 10.3 kB
11. Pandas Options/1.1 Pandas Settings.zip.zip 10.2 kB
7. Series Pandas/4. Create Series from CSV file.vtt 10.2 kB
6. Numpy/4. Linear algebra with NumPy.vtt 9.7 kB
7. Series Pandas/16. .apply() and .map() method.vtt 9.4 kB
8. Data Frame Pandas/7. Drop missing row or column.vtt 9.1 kB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.vtt 9.1 kB
8. Data Frame Pandas/20. .apply() method on multiple column.vtt 9.0 kB
4. Python Crash Course [Optional]/4. Python Basics - II.vtt 9.0 kB
2. Installation and IDE/9. Import Library.vtt 8.9 kB
8. Data Frame Pandas/17. .astype() method - optimize memory requirement.vtt 8.8 kB
2. Installation and IDE/4. Anaconda + Conda Command.vtt 8.7 kB
14. Working with Text Data/2. Some String methods.vtt 8.6 kB
16. Data Frame Multiindex/7. Transposing DataFrame.vtt 8.6 kB
7. Series Pandas/10. inplace parameter, sort_values & sort_index.vtt 8.5 kB
6. Numpy/6. Views vs Copy - Numpy Array.vtt 8.3 kB
4. Python Crash Course [Optional]/10. Functions.vtt 8.3 kB
17. Working with Time series data/1. Python Date and Datetime module.vtt 8.2 kB
16. Data Frame Multiindex/8. UnStack and Stack Data.vtt 8.2 kB
8. Data Frame Pandas/5. Select one or more than one column.vtt 7.9 kB
15. Data Grouping/4. Sum, Mean, Max, Min Method.vtt 7.9 kB
14. Working with Text Data/4. Filtering Message with String.vtt 7.8 kB
15. Data Grouping/5. .agg method.vtt 7.6 kB
2. Installation and IDE/2. Download and Install anaconda + Pandas.vtt 7.5 kB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.vtt 7.3 kB
7. Series Pandas/13. Extract Value from Series.vtt 7.3 kB
16. Data Frame Multiindex/9. Pivot and Pivot_table Method.vtt 7.1 kB
8. Data Frame Pandas/9. Filtering Data with multiple condition.vtt 7.1 kB
15. Data Grouping/2. Getting Group.vtt 6.9 kB
8. Data Frame Pandas/19. .apply() method on single column.vtt 6.3 kB
1. Introduction/1. What is Data analysis.vtt 6.2 kB
14. Working with Text Data/5. Splitting Text.vtt 6.2 kB
16. Data Frame Multiindex/4. Index - Meta Information.vtt 6.1 kB
16. Data Frame Multiindex/3. Sorting MultiIndex.vtt 6.0 kB
8. Data Frame Pandas/10. Filtering Data with .isin() method.vtt 5.9 kB
15. Data Grouping/3. Size, First and Last Method.vtt 5.9 kB
14. Working with Text Data/1. Getting started with Data.vtt 5.9 kB
8. Data Frame Pandas/14. sort index and inplace parameter.vtt 5.7 kB
15. Data Grouping/1. Importing Data Grouping.vtt 5.6 kB
1. Introduction/3. Course FAQ.vtt 5.6 kB
18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.vtt 5.4 kB
8. Data Frame Pandas/12. unique() & nunique() method.vtt 5.3 kB
5. Python Exercises/1. Exercise Overview.vtt 5.1 kB
8. Data Frame Pandas/1. Introduction to Data Frame.vtt 5.1 kB
7. Series Pandas/8. Label indexing.vtt 5.0 kB
8. Data Frame Pandas/21. Fetch random sample.vtt 5.0 kB
8. Data Frame Pandas/18. set_index() change index column.vtt 4.9 kB
16. Data Frame Multiindex/2. Set multiple column as index.vtt 4.9 kB
8. Data Frame Pandas/16. .ix() method.vtt 4.7 kB
1. Introduction/2. Introduction to Pandas.vtt 4.6 kB
8. Data Frame Pandas/6. Broadcasting operation.vtt 4.4 kB
10. Panel Pandas/1. Warning - Panel Data type.vtt 4.3 kB
8. Data Frame Pandas/11. Filtering Data with .between() method.vtt 4.2 kB
8. Data Frame Pandas/4. Adding new column.vtt 4.2 kB
9. Pandas Exercise/1. Exercise Overview Google App store dataset.vtt 3.8 kB
2. Installation and IDE/1. Different ways of installation.vtt 3.4 kB
7. Series Pandas/2. Introduction to Series.vtt 3.2 kB
4. Python Crash Course [Optional]/1.1 Python Crash Course.zip.zip 3.2 kB
7. Series Pandas/12. Apply Python built in function on Series.vtt 3.2 kB
16. Data Frame Multiindex/1. Import Data - Multiindex.vtt 3.0 kB
11. Pandas Options/2. precision.vtt 2.9 kB
5. Python Exercises/1.1 Python Exercise.zip.zip 2.8 kB
4. Python Crash Course [Optional]/1. Introduction.vtt 2.4 kB
14. Working with Text Data/6. Processing on Column names.vtt 2.3 kB
7. Series Pandas/15. .value_counts() Method.vtt 2.1 kB
16. Data Frame Multiindex/5. Change Index names.vtt 1.6 kB
2. Installation and IDE/3. Troubleshooting 'conda' is not recognized as an internal or external command.html 1.1 kB
20. Bonus Lecture/1. Bonus Lecture.html 664 Bytes
2. Installation and IDE/9.1 Import Library.zip.zip 526 Bytes
2. Installation and IDE/9.2 Import Library.zip.zip 526 Bytes
2. Installation and IDE/9.3 Import Library.zip.zip 526 Bytes
2. Installation and IDE/6. anaconda, conda & pandas Update.html 412 Bytes
7. Series Pandas/1. Series.html 380 Bytes
2. Installation and IDE/5. Conda Cheatsheet.html 321 Bytes
2. Installation and IDE/8. Jupyter Notebook cheatsheet.html 290 Bytes
19. Appendix Numpy - Numerical Python Library/1. Notes.html 222 Bytes
7. Series Pandas/15.1 Pandas value_count method.html 173 Bytes
2. Installation and IDE/5.1 Conda Cheatsheet.html 171 Bytes
7. Series Pandas/16.1 Pandas.Series.map.html 160 Bytes
7. Series Pandas/16.2 Pandas.Series.map.html 160 Bytes
8. Data Frame Pandas/9.1 Truth Table for AND and OR operation.html 157 Bytes
2. Installation and IDE/8.1 Jupyter Notebook cheatsheet.html 150 Bytes
7. Series Pandas/10.1 sorting.html 150 Bytes
7. Series Pandas/10.2 sorting.html 150 Bytes
7. Series Pandas/10.1 sorting index.html 149 Bytes
7. Series Pandas/10.2 sorting index.html 149 Bytes
6. Numpy/1.1 NumPy cheatsheet.html 146 Bytes
6. Numpy/1.2 NumPy cheatsheet.html 146 Bytes
6. Numpy/1.3 NumPy cheatsheet.html 146 Bytes
7. Series Pandas/16.1 Pandas.Series.apply.html 144 Bytes
7. Series Pandas/16.2 Pandas.Series.apply.html 144 Bytes
7. Series Pandas/4.1 Read CSV file.html 140 Bytes
7. Series Pandas/3.1 Series constructor.html 138 Bytes
1. Introduction/4. Pandas.html 136 Bytes
12. Visualize Data with Pandas/3. Data Visualization.html 136 Bytes
2. Installation and IDE/10. Installation.html 136 Bytes
4. Python Crash Course [Optional]/11. Python - 1.html 136 Bytes
4. Python Crash Course [Optional]/12. Python - 2.html 136 Bytes
4. Python Crash Course [Optional]/3. Data types, Numbers, String.html 136 Bytes
4. Python Crash Course [Optional]/5. Loops & Decision making.html 136 Bytes
4. Python Crash Course [Optional]/7. Lists and tuples.html 136 Bytes
4. Python Crash Course [Optional]/9. Dictionary and set.html 136 Bytes
6. Numpy/9. NumPy.html 136 Bytes
7. Series Pandas/11. inplace parameter, sort_values & sort_index.html 136 Bytes
7. Series Pandas/14. Extract Value from Series.html 136 Bytes
7. Series Pandas/17. .apply() and .map() method.html 136 Bytes
7. Series Pandas/18. Series.html 136 Bytes
7. Series Pandas/5. Create Series Object.html 136 Bytes
7. Series Pandas/7. Series attributes & methods.html 136 Bytes
7. Series Pandas/9. Label indexing.html 136 Bytes
2. Installation and IDE/6.1 Updating from older versions.html 119 Bytes
6. Numpy/1.1 Numpy Quick tutorial.html 114 Bytes
6. Numpy/1.3 Numpy Quick tutorial.html 114 Bytes
2. Installation and IDE/2.1 Windows Installation.html 112 Bytes
2. Installation and IDE/2.2 Windows Installation.html 112 Bytes
2. Installation and IDE/2.3 Windows Installation.html 112 Bytes
2. Installation and IDE/2.4 Windows Installation.html 112 Bytes
2. Installation and IDE/2.1 MacOS installation.html 111 Bytes
2. Installation and IDE/2.3 MacOS installation.html 111 Bytes
2. Installation and IDE/2.4 MacOS installation.html 111 Bytes
2. Installation and IDE/2.2 Linux Installation.html 110 Bytes
2. Installation and IDE/2.3 Linux Installation.html 110 Bytes
2. Installation and IDE/2.4 Linux Installation.html 110 Bytes
2. Installation and IDE/9.1 Python Import Documentation.html 108 Bytes
2. Installation and IDE/9.3 Python Import Documentation.html 108 Bytes
2. Installation and IDE/9.2 Pandas Documentation.html 106 Bytes
2. Installation and IDE/9.3 Pandas Documentation.html 106 Bytes
2. Installation and IDE/7.1 Jupyter Lab Documentation.html 105 Bytes
3. Code Download/1. Python Code.html 103 Bytes
2. Installation and IDE/2.1 Anaconda PythonR Distribution - Anaconda.html 99 Bytes
2. Installation and IDE/2.2 Anaconda PythonR Distribution - Anaconda.html 99 Bytes
2. Installation and IDE/2.3 Anaconda PythonR Distribution - Anaconda.html 99 Bytes
2. Installation and IDE/2.4 Anaconda PythonR Distribution - Anaconda.html 99 Bytes
2. Installation and IDE/4.1 Conda utility documentation.html 88 Bytes
[DesireCourse.Net].url 51 Bytes
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