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文档列表

1. Installation and Setup/1. Introduction to the Course.mp4 35.7 MB
1. Installation and Setup/1.1 pandas.zip.zip 701.2 kB
1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 20.0 MB
1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 16.2 MB
1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.mp4 9.8 MB
1. Installation and Setup/13. Cell Types and Cell Modes.mp4 12.3 MB
1. Installation and Setup/14. Code Cell Execution.mp4 8.6 MB
1. Installation and Setup/15. Popular Keyboard Shortcuts.mp4 6.6 MB
1. Installation and Setup/16. Import Libraries into Jupyter Notebook.mp4 12.1 MB
1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.mp4 12.6 MB
1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.mp4 9.4 MB
1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.mp4 7.6 MB
1. Installation and Setup/2. Completed Course Files.html 948 Bytes
1. Installation and Setup/2.1 CompletedCourseFiles.zip.zip 372.1 kB
1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.mp4 8.3 MB
1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.mp4 10.6 MB
1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.mp4 8.3 MB
1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.mp4 18.9 MB
1. Installation and Setup/5. Mac OS - Access the Terminal.mp4 6.7 MB
1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4 37.0 MB
1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 23.2 MB
1. Installation and Setup/8. Windows - Download the Anaconda Distribution.mp4 8.0 MB
1. Installation and Setup/9. Windows - Install Anaconda Distribution.mp4 15.9 MB
10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.mp4 6.6 MB
10. Working with Dates and Times/10. Install pandas-datareader Library.mp4 6.2 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 26.7 MB
10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 19.2 MB
10. Working with Dates and Times/13. Timestamp Object Attributes.mp4 20.5 MB
10. Working with Dates and Times/14. The .truncate() Method.mp4 9.5 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 26.8 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 33.5 MB
10. Working with Dates and Times/17. The pandas Timedelta Object.mp4 16.2 MB
10. Working with Dates and Times/18. Timedeltas in a Dataset.mp4 20.5 MB
10. Working with Dates and Times/2. Review of Python's datetime Module.mp4 17.6 MB
10. Working with Dates and Times/3. The pandas Timestamp Object.mp4 13.4 MB
10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp4 10.1 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 24.0 MB
10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 20.6 MB
10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 19.4 MB
10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 17.1 MB
10. Working with Dates and Times/9. The .dt Accessor.mp4 14.4 MB
11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 14.3 MB
11. Panels/10. The .swapaxes() Method.mp4 10.2 MB
11. Panels/11. A Review of the Panels Module.html 131 Bytes
11. Panels/2. The Axes of a Panel Object.mp4 17.1 MB
11. Panels/3. Panel Attributes.mp4 11.0 MB
11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 8.7 MB
11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.mp4 14.2 MB
11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 9.1 MB
11. Panels/7. The .major_xs() Method.mp4 12.7 MB
11. Panels/8. The .minor_xs() Method.mp4 14.3 MB
11. Panels/9. Transpose a Panel with the .transpose() Method.mp4 16.5 MB
12. Input and Output/1. Intro to the Input and Output Module.mp4 2.9 MB
12. Input and Output/2. Feed pd.read_csv() Method a URL Argument.mp4 8.0 MB
12. Input and Output/3. Quick Object Conversions.mp4 11.9 MB
12. Input and Output/4. Export DataFrame to CSV File with the .to_csv() Method.mp4 11.2 MB
12. Input and Output/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 6.3 MB
12. Input and Output/6. Import Excel File into pandas.mp4 20.1 MB
12. Input and Output/7. Export Excel File.mp4 18.7 MB
12. Input and Output/8. Input and Output.html 131 Bytes
13. Visualization/1. Intro to Visualization Module.mp4 7.7 MB
13. Visualization/2. The .plot() Method.mp4 19.9 MB
13. Visualization/3. Modifying Aesthetics with Templates.mp4 12.7 MB
13. Visualization/4. Bar Graphs.mp4 12.9 MB
13. Visualization/5. Pie Charts.mp4 10.4 MB
13. Visualization/6. Histograms.mp4 12.8 MB
13. Visualization/7. Visualization.html 131 Bytes
14. Options and Settings/1. Introduction to the Options and Settings Module.mp4 3.5 MB
14. Options and Settings/2. Changing pandas Options with Attributes and Dot Syntax.mp4 20.8 MB
14. Options and Settings/3. Changing pandas Options with Methods.mp4 14.6 MB
14. Options and Settings/4. The precision Option.mp4 6.4 MB
15. Conclusion/1. Conclusion.mp4 3.1 MB
2. Series/1. Create Jupyter Notebook for the Series Module.mp4 4.0 MB
2. Series/10. More Series Attributes.mp4 12.2 MB
2. Series/11. The .sort_values() Method.mp4 11.4 MB
2. Series/11.1 Official pandas Documentation.html 145 Bytes
2. Series/12. The inplace Parameter.mp4 9.9 MB
2. Series/13. The .sort_index() Method.mp4 9.0 MB
2. Series/13.1 Official pandas Documentation.html 144 Bytes
2. Series/14. Python's in Keyword.mp4 7.7 MB
2. Series/15. Extract Series Values by Index Position.mp4 9.3 MB
2. Series/16. Extract Series Values by Index Label.mp4 14.4 MB
2. Series/17. The .get() Method on a Series.mp4 10.0 MB
2. Series/18. Math Methods on Series Objects.mp4 10.7 MB
2. Series/19. The .idxmax() and .idxmin() Methods.mp4 6.0 MB
2. Series/2. Create A Series Object from a Python List.mp4 19.0 MB
2. Series/20. The .value_counts() Method.mp4 7.1 MB
2. Series/21. The .apply() Method.mp4 12.9 MB
2. Series/22. The .map() Method.mp4 13.7 MB
2. Series/23. A Review of the Series Module.html 131 Bytes
2. Series/3. Create A Series Object from a Python Dictionary.mp4 5.4 MB
2. Series/4. Intro to Attributes.mp4 13.5 MB
2. Series/5. Intro to Methods.mp4 8.3 MB
2. Series/6. Parameters and Arguments.mp4 19.2 MB
2. Series/7. Import Series with the .read_csv() Method.mp4 22.2 MB
2. Series/8. The .head() and .tail() Methods.mp4 6.8 MB
2. Series/8.1 Official pandas Documentation.html 138 Bytes
2. Series/9. Python Built-In Functions.mp4 10.3 MB
3. DataFrames I/1. Intro to DataFrames I Module.mp4 18.5 MB
3. DataFrames I/10. Fill in Null Values with the .fillna() Method.mp4 11.3 MB
3. DataFrames I/10.1 Official pandas Documentation.html 143 Bytes
3. DataFrames I/11. The .astype() Method.mp4 25.0 MB
3. DataFrames I/11.1 Official pandas Documentation.html 143 Bytes
3. DataFrames I/12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 13.9 MB
3. DataFrames I/12.1 Official pandas Documentation.html 148 Bytes
3. DataFrames I/13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 9.3 MB
3. DataFrames I/13.1 Official pandas Documentation.html 148 Bytes
3. DataFrames I/14. Sort DataFrame with the .sort_index() Method.mp4 6.9 MB
3. DataFrames I/14.1 Official pandas Documentation.html 147 Bytes
3. DataFrames I/15. Rank Values with the .rank() Method.mp4 13.8 MB
3. DataFrames I/15.1 Official pandas Documentation.html 141 Bytes
3. DataFrames I/2. Shared Methods and Attributes between Series and DataFrames.mp4 16.4 MB
3. DataFrames I/3. Differences between Shared Methods.mp4 13.7 MB
3. DataFrames I/4. Select One Column from a DataFrame.mp4 15.6 MB
3. DataFrames I/5. Select Two or More Columns from a DataFrame.mp4 10.4 MB
3. DataFrames I/6. Add New Column to DataFrame.mp4 18.1 MB
3. DataFrames I/7. Broadcasting Operations.mp4 19.1 MB
3. DataFrames I/8. A Review of the .value_counts() Method.mp4 8.8 MB
3. DataFrames I/9. Drop Rows with Null Values.mp4 20.1 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 25.6 MB
4. DataFrames II/10. The .unique() and .nunique() Methods.mp4 8.6 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 28.7 MB
4. DataFrames II/3. Filter with More than One Condition (AND - &).mp4 9.7 MB
4. DataFrames II/4. Filter with More than One Condition (OR - ).mp4 17.6 MB
4. DataFrames II/5. The .isin() Method.mp4 13.1 MB
4. DataFrames II/6. The .isnull() and .notnull() Methods.mp4 12.9 MB
4. DataFrames II/7. The .between() Method.mp4 17.6 MB
4. DataFrames II/8. The .duplicated() Method.mp4 20.5 MB
4. DataFrames II/9. The .drop_duplicates() Method.mp4 18.4 MB
5. DataFrames III/1. Intro to the DataFrames III Module + Import Dataset.mp4 8.0 MB
5. DataFrames III/10. Delete Rows or Columns from a DataFrame.mp4 17.0 MB
5. DataFrames III/11. Create Random Sample with the .sample() Method.mp4 9.8 MB
5. DataFrames III/12. The .nsmallest() and .nlargest() Methods.mp4 12.7 MB
5. DataFrames III/13. Filtering with the .where() Method.mp4 14.2 MB
5. DataFrames III/14. The .query() Method.mp4 20.9 MB
5. DataFrames III/15. A Review of the .apply() Method on Single Columns.mp4 12.3 MB
5. DataFrames III/16. The .apply() Method with Row Values.mp4 14.1 MB
5. DataFrames III/17. The .copy() Method.mp4 16.2 MB
5. DataFrames III/2. The .set_index() and .reset_index() Methods.mp4 13.8 MB
5. DataFrames III/2.1 set_index Documentation.html 147 Bytes
5. DataFrames III/2.2 reset_index Documentation.html 149 Bytes
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 27.1 MB
5. DataFrames III/3.1 loc[] Documentation.html 141 Bytes
5. DataFrames III/4. Retrieve Rows by Index Position with .iloc[].mp4 14.0 MB
5. DataFrames III/5. The Catch-All .ix[] Method.mp4 19.5 MB
5. DataFrames III/6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 13.0 MB
5. DataFrames III/7. Set New Values for a Specific Cell or Row.mp4 9.3 MB
5. DataFrames III/8. Set Multiple Values in DataFrame.mp4 21.5 MB
5. DataFrames III/9. Rename Index Labels or Columns in a DataFrame.mp4 14.1 MB
6. Working with Text Data/1. Intro to the Working with Text Data Module.mp4 14.5 MB
6. Working with Text Data/2. Common String Methods - lower, upper, title, and len.mp4 15.6 MB
6. Working with Text Data/3. The .str.replace() Method.mp4 16.8 MB
6. Working with Text Data/4. Filtering with String Methods.mp4 16.3 MB
6. Working with Text Data/5. More String Methods - strip, lstrip, and rstrip.mp4 10.0 MB
6. Working with Text Data/6. String Methods on Index and Columns.mp4 11.7 MB
6. Working with Text Data/7. Split Strings by Characters with .str.split() Method.mp4 18.4 MB
6. Working with Text Data/8. More Practice with Splits.mp4 12.5 MB
6. Working with Text Data/9. The expand and n Parameters of the .str.split() Method.mp4 16.0 MB
7. MultiIndex/1. Intro to the MultiIndex Module.mp4 8.7 MB
7. MultiIndex/10. The .unstack() Method, Part 1.mp4 8.9 MB
7. MultiIndex/11. The .unstack() Method, Part 2.mp4 15.2 MB
7. MultiIndex/12. The .unstack() Method, Part 3.mp4 12.6 MB
7. MultiIndex/13. The .pivot() Method.mp4 12.7 MB
7. MultiIndex/14. The .pivot_table() Method.mp4 23.2 MB
7. MultiIndex/15. The pd.melt() Method.mp4 18.1 MB
7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 22.1 MB
7. MultiIndex/3. The .get_level_values() Method.mp4 17.4 MB
7. MultiIndex/4. The .set_names() Method.mp4 6.4 MB
7. MultiIndex/5. The sort_index() Method.mp4 10.7 MB
7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.mp4 18.2 MB
7. MultiIndex/7. The .transpose() Method and MultiIndex on Column Level.mp4 12.5 MB
7. MultiIndex/8. The .swaplevel() Method.mp4 5.4 MB
7. MultiIndex/9. The .stack() Method.mp4 13.8 MB
8. GroupBy/1. Intro to the Groupby Module.mp4 15.0 MB
8. GroupBy/2. First Operations with groupby Object.mp4 24.2 MB
8. GroupBy/3. Retrieve A Group with the .get_group() Method.mp4 10.6 MB
8. GroupBy/4. Methods on the Groupby Object and DataFrame Columns.mp4 21.5 MB
8. GroupBy/5. Grouping by Multiple Columns.mp4 10.9 MB
8. GroupBy/6. The .agg() Method.mp4 13.8 MB
8. GroupBy/7. Iterating through Groups.mp4 22.4 MB
9. Merging, Joining, and Concatenating/1. Intro to the Merging, Joining, and Concatenating Module.mp4 12.0 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 23.8 MB
9. Merging, Joining, and Concatenating/11. The .join() Method.mp4 6.6 MB
9. Merging, Joining, and Concatenating/12. The pd.merge() Method.mp4 7.2 MB
9. Merging, Joining, and Concatenating/2. The pd.concat() Method, Part 1.mp4 13.2 MB
9. Merging, Joining, and Concatenating/3. The pd.concat() Method, Part 2.mp4 13.9 MB
9. Merging, Joining, and Concatenating/4. The .append() Method on a DataFrame.mp4 5.4 MB
9. Merging, Joining, and Concatenating/5. Inner Joins, Part 1.mp4 18.8 MB
9. Merging, Joining, and Concatenating/6. Inner Joins, Part 2.mp4 17.4 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 27.2 MB
9. Merging, Joining, and Concatenating/8. Left Joins.mp4 22.0 MB
9. Merging, Joining, and Concatenating/9. The left_on and right_on Parameters.mp4 21.2 MB
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