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| [CourseClub.Me].url |
48б |
| [CourseClub.Me].url |
48б |
| [CourseClub.Me].url |
48б |
| [CourseClub.Me].url |
48б |
| [CourseClub.Me].url |
48б |
| [DesireCourse.Net].url |
51б |
| [DesireCourse.Net].url |
51б |
| [DesireCourse.Net].url |
51б |
| [DesireCourse.Net].url |
51б |
| [DesireCourse.Net].url |
51б |
| 1.1 Official pandas article on the 2D DataFrame data structure.html |
144б |
| 1.1 Official Pandas documentation for the pandas.read_csv method to import a CSV file.html |
140б |
| 1.1 Official Pandas documentation for the pandas.read_csv method to import a CSV file.html |
140б |
| 1.1 Official Pandas documentation for the pandas.read_csv method to import a CSV file.html |
140б |
| 1.1 Official pandas documentation for the pd.read_csv method.html |
140б |
| 1.1 Official website for the matplotlib plotting library for python.html |
84б |
| 1.1 pandas.zip |
684.75Кб |
| 1. Conclusion.mp4 |
2.96Мб |
| 1. Conclusion.srt |
2.77Кб |
| 1. Create Jupyter Notebook for the Series Module.mp4 |
7.19Мб |
| 1. Create Jupyter Notebook for the Series Module.srt |
3.46Кб |
| 1. Introduction to Data Analysis with Pandas and Python.mp4 |
34.01Мб |
| 1. Introduction to Data Analysis with Pandas and Python.srt |
20.32Кб |
| 1. Introduction to the Options and Settings Module.mp4 |
3.33Мб |
| 1. Introduction to the Options and Settings Module.srt |
2.73Кб |
| 1. Intro to DataFrames I Module.mp4 |
49.80Мб |
| 1. Intro to DataFrames I Module.srt |
14.90Кб |
| 1. Intro to the DataFrames III Module + Import Dataset.mp4 |
23.37Мб |
| 1. Intro to the DataFrames III Module + Import Dataset.srt |
7.34Кб |
| 1. Intro to the Groupby Module.mp4 |
14.29Мб |
| 1. Intro to the Groupby Module.srt |
12.19Кб |
| 1. Intro to the Input and Output Section.mp4 |
5.53Мб |
| 1. Intro to the Input and Output Section.srt |
2.13Кб |
| 1. Intro to the Merging, Joining, and Concatenating Section.mp4 |
20.99Мб |
| 1. Intro to the Merging, Joining, and Concatenating Section.srt |
7.28Кб |
| 1. Intro to the MultiIndex Module.mp4 |
19.98Мб |
| 1. Intro to the MultiIndex Module.srt |
7.32Кб |
| 1. Intro to the Working with Dates and Times Module.mp4 |
14.12Мб |
| 1. Intro to the Working with Dates and Times Module.srt |
6.68Кб |
| 1. Intro to the Working with Text Data Section.mp4 |
32.30Мб |
| 1. Intro to the Working with Text Data Section.srt |
9.05Кб |
| 1. Intro to Visualization Section.mp4 |
15.80Мб |
| 1. Intro to Visualization Section.srt |
7.90Кб |
| 1. This Module's Dataset + Memory Optimization.mp4 |
97.89Мб |
| 1. This Module's Dataset + Memory Optimization.srt |
24.78Кб |
| 10.1 Official documentation for the pandas-datareader library.html |
112б |
| 10.1 Official pandas Documentation.html |
138б |
| 10. A Review of the .value_counts() Method.mp4 |
8.42Мб |
| 10. A Review of the .value_counts() Method.srt |
5.88Кб |
| 10. Create Random Sample with the .sample() Method.mp4 |
9.34Мб |
| 10. Create Random Sample with the .sample() Method.srt |
6.91Кб |
| 10. Install pandas-datareader Library.mp4 |
33.00Мб |
| 10. Install pandas-datareader Library.srt |
5.54Кб |
| 10. The .join() Method.mp4 |
6.28Мб |
| 10. The .join() Method.srt |
4.53Кб |
| 10. The .unique() and .nunique() Methods.mp4 |
8.20Мб |
| 10. The .unique() and .nunique() Methods.srt |
6.47Кб |
| 10. The .unstack() Method, Part 1.mp4 |
8.48Мб |
| 10. The .unstack() Method, Part 1.srt |
5.75Кб |
| 10. Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4 |
6.48Мб |
| 10. Use the head and tail Methods to Return Rows from Beginning and End of Dataset.srt |
5.37Кб |
| 10. Windows - Install Anaconda Distribution.mp4 |
38.65Мб |
| 10. Windows - Install Anaconda Distribution.srt |
10.19Кб |
| 11. Drop Rows with Null Values.mp4 |
19.21Мб |
| 11. Drop Rows with Null Values.srt |
9.43Кб |
| 11. Import Financial Data Set with pandas_datareader Library.mp4 |
41.67Мб |
| 11. Import Financial Data Set with pandas_datareader Library.srt |
12.36Кб |
| 11. Passing pandas Objects to Python Built-In Functions.mp4 |
9.88Мб |
| 11. Passing pandas Objects to Python Built-In Functions.srt |
7.36Кб |
| 11. The .unstack() Method, Part 2.mp4 |
14.54Мб |
| 11. The .unstack() Method, Part 2.srt |
9.32Кб |
| 11. The pd.merge() Method.mp4 |
6.84Мб |
| 11. The pd.merge() Method.srt |
4.70Кб |
| 11. Use the nsmallest nlargest methods to get rows with smallest largest values..mp4 |
12.08Мб |
| 11. Use the nsmallest nlargest methods to get rows with smallest largest values..srt |
7.54Кб |
| 11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 |
111.79Мб |
| 11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.srt |
29.63Кб |
| 12.1 Official pandas Documentation.html |
143б |
| 12.1 pandas.zip |
686.24Кб |
| 12. Accessing More Series Attributes.mp4 |
11.66Мб |
| 12. Accessing More Series Attributes.srt |
8.86Кб |
| 12. Fill in Null Values with the .fillna() Method.mp4 |
10.76Мб |
| 12. Fill in Null Values with the .fillna() Method.srt |
7.01Кб |
| 12. Filtering the DataFrame with the where method.mp4 |
13.56Мб |
| 12. Filtering the DataFrame with the where method.srt |
7.26Кб |
| 12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 |
74.27Мб |
| 12. Selecting Rows from a DataFrame with a DateTimeIndex.srt |
16.83Кб |
| 12. The .unstack() Method, Part 3.mp4 |
11.97Мб |
| 12. The .unstack() Method, Part 3.srt |
7.89Кб |
| 12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 |
47.44Мб |
| 12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.srt |
21.40Кб |
| 13.1 Official pandas Documentation.html |
145б |
| 13.1 Official pandas Documentation.html |
143б |
| 13.1 Official Pandas documentation for the pandas.Timestamp class.html |
141б |
| 13. Filtering the DataFrame with the query method.mp4 |
19.93Мб |
| 13. Filtering the DataFrame with the query method.srt |
12.59Кб |
| 13. Intro to the Jupyter Notebook Interface.mp4 |
33.27Мб |
| 13. Intro to the Jupyter Notebook Interface.srt |
15.25Кб |
| 13. The .astype() Method.mp4 |
23.87Мб |
| 13. The .astype() Method.srt |
15.45Кб |
| 13. The pivot Method.mp4 |
12.12Мб |
| 13. The pivot Method.srt |
10.92Кб |
| 13. Timestamp Object Attributes and Methods.mp4 |
54.13Мб |
| 13. Timestamp Object Attributes and Methods.srt |
15.01Кб |
| 13. Use the sort_values method to sort a Series in ascending or descending order.mp4 |
10.84Мб |
| 13. Use the sort_values method to sort a Series in ascending or descending order.srt |
9.17Кб |
| 14.1 Official pandas Documentation.html |
148б |
| 14.1 Official Pandas documentation for the pandas.DateOffset class.html |
158б |
| 14. A Review of the .apply() Method on Single Columns.mp4 |
11.75Мб |
| 14. A Review of the .apply() Method on Single Columns.srt |
7.99Кб |
| 14. Cell Types and Cell Modes in Jupyter Notebook.mp4 |
19.96Мб |
| 14. Cell Types and Cell Modes in Jupyter Notebook.srt |
10.80Кб |
| 14. Sort a DataFrame with the .sort_values() Method, Part I.mp4 |
13.28Мб |
| 14. Sort a DataFrame with the .sort_values() Method, Part I.srt |
8.13Кб |
| 14. The pd.DateOffset Object.mp4 |
43.83Мб |
| 14. The pd.DateOffset Object.srt |
10.25Кб |
| 14. Use the inplace Parameter to permanently mutate a pandas data structure.mp4 |
9.39Мб |
| 14. Use the inplace Parameter to permanently mutate a pandas data structure.srt |
8.11Кб |
| 14. Use the pivot_table method to create an aggregate summary of a DataFrame.mp4 |
22.17Мб |
| 14. Use the pivot_table method to create an aggregate summary of a DataFrame.srt |
16.49Кб |
| 15.1 Official pandas Documentation.html |
144б |
| 15.1 Official pandas Documentation.html |
148б |
| 15.1 Official pandas documentation for various timeseries offsets.html |
137б |
| 15. Code Cell Execution in Jupyter Notebook.mp4 |
8.82Мб |
| 15. Code Cell Execution in Jupyter Notebook.srt |
4.61Кб |
| 15. Sort a DataFrame with the .sort_values() Method, Part II.mp4 |
8.84Мб |
| 15. Sort a DataFrame with the .sort_values() Method, Part II.srt |
6.23Кб |
| 15. The .apply() Method with Row Values.mp4 |
13.42Мб |
| 15. The .apply() Method with Row Values.srt |
9.67Кб |
| 15. Timeseries Offsets.mp4 |
74.55Мб |
| 15. Timeseries Offsets.srt |
18.96Кб |
| 15. Use the pd.melt method to create a narrow dataset from a wide one.mp4 |
17.26Мб |
| 15. Use the pd.melt method to create a narrow dataset from a wide one.srt |
9.07Кб |
| 15. Use the sort_index Method to Sort the Index of a pandas Series object.mp4 |
8.57Мб |
| 15. Use the sort_index Method to Sort the Index of a pandas Series object.srt |
6.87Кб |
| 16.1 Official Pandas documentation for the pandas.Timedelta class.html |
141б |
| 16. Popular Keyboard Shortcuts in Jupyter Notebook.mp4 |
17.01Мб |
| 16. Popular Keyboard Shortcuts in Jupyter Notebook.srt |
5.58Кб |
| 16. The .copy() Method.mp4 |
15.44Мб |
| 16. The .copy() Method.srt |
9.82Кб |
| 16. The sort_values and sort_index Methods.html |
136б |
| 16. The sort_values Method on a DataFrame.html |
136б |
| 16. The Timedelta Object.mp4 |
32.26Мб |
| 16. The Timedelta Object.srt |
12.50Кб |
| 17.1 Official pandas Documentation.html |
147б |
| 17. Import Libraries into Jupyter Notebook.mp4 |
25.84Мб |
| 17. Import Libraries into Jupyter Notebook.srt |
12.46Кб |
| 17. Sort DataFrame with the .sort_index() Method.mp4 |
6.57Мб |
| 17. Sort DataFrame with the .sort_index() Method.srt |
4.06Кб |
| 17. Timedeltas in a Dataset.mp4 |
19.56Мб |
| 17. Timedeltas in a Dataset.srt |
14.40Кб |
| 17. Use Python's in Keyword to Check for Inclusion in Series values or index.mp4 |
7.31Мб |
| 17. Use Python's in Keyword to Check for Inclusion in Series values or index.srt |
5.63Кб |
| 18.1 Official pandas Documentation.html |
141б |
| 18. Extract Series Values by Index Position.mp4 |
8.91Мб |
| 18. Extract Series Values by Index Position.srt |
5.98Кб |
| 18. Python Crash Course, Part 1 - Data Types and Variables.mp4 |
11.99Мб |
| 18. Python Crash Course, Part 1 - Data Types and Variables.srt |
11.25Кб |
| 18. Rank Values with the .rank() Method.mp4 |
13.17Мб |
| 18. Rank Values with the .rank() Method.srt |
8.50Кб |
| 19. Extract Series Values by Index Label.mp4 |
46.25Мб |
| 19. Extract Series Values by Index Label.srt |
15.30Кб |
| 19. Python Crash Course, Part 2 - Lists.mp4 |
9.01Мб |
| 19. Python Crash Course, Part 2 - Lists.srt |
7.72Кб |
| 2.1 Official pandas documentation for the pandas.DataFrame.append method.html |
148б |
| 2.1 Official pandas documentation for the pandas.DataFrame.set_index method.html |
151б |
| 2.1 Official pandas documentation for the pandas.DataFrame.set_index method.html |
151б |
| 2.1 Official pandas documentation for the pandas.Series.plot method.html |
143б |
| 2.1 Official pandas documentation for the pandas.Series.str.lower method.html |
148б |
| 2.2 Official pandas documentation for the pandas.concat method.html |
138б |
| 2.2 Official pandas documentation for the pandas.DataFrame.plot Method.html |
146б |
| 2.2 Official pandas documentation for the pandas.DataFrame.reset_index method.html |
153б |
| 2.2 Official pandas documentation for the pandas.Series.str.upper method.html |
148б |
| 2.3 Official pandas documentation for the pandas.Series.str.len method.html |
146б |
| 2.4 Official pandas documentation for the pandas.Series.str.title method.html |
148б |
| 2. About Me.mp4 |
21.31Мб |
| 2. About Me.srt |
1.72Кб |
| 2. Changing pandas Options with Attributes and Dot Syntax.mp4 |
19.84Мб |
| 2. Changing pandas Options with Attributes and Dot Syntax.srt |
11.72Кб |
| 2. Common String Methods - lower, upper, title, and len.mp4 |
14.89Мб |
| 2. Common String Methods - lower, upper, title, and len.srt |
10.51Кб |
| 2. Create a MultiIndex on a DataFrame with the set_index Method.mp4 |
45.70Мб |
| 2. Create a MultiIndex on a DataFrame with the set_index Method.srt |
14.26Кб |
| 2. Create A Series Object from a Python List.mp4 |
18.12Мб |
| 2. Create A Series Object from a Python List.srt |
16.54Кб |
| 2. Filter a DataFrame Based on A Condition.mp4 |
27.41Мб |
| 2. Filter a DataFrame Based on A Condition.srt |
18.61Кб |
| 2. First Operations with groupby Object.mp4 |
23.09Мб |
| 2. First Operations with groupby Object.srt |
13.97Кб |
| 2. Pass a URL to the pd.read_csv Method.mp4 |
19.84Мб |
| 2. Pass a URL to the pd.read_csv Method.srt |
6.29Кб |
| 2. Review of Python's datetime Module.mp4 |
16.74Мб |
| 2. Review of Python's datetime Module.srt |
13.18Кб |
| 2. Shared Methods and Attributes between Series and DataFrames.mp4 |
67.53Мб |
| 2. Shared Methods and Attributes between Series and DataFrames.srt |
20.83Кб |
| 2. The pd.concat Method, Part 1.mp4 |
21.80Мб |
| 2. The pd.concat Method, Part 1.srt |
8.03Кб |
| 2. Use the plot Method to Render a Line Chart.mp4 |
33.33Мб |
| 2. Use the plot Method to Render a Line Chart.srt |
12.83Кб |
| 2. Use the set_index and reset_index methods to define a new DataFrame index.mp4 |
39.22Мб |
| 2. Use the set_index and reset_index methods to define a new DataFrame index.srt |
10.87Кб |
| 20. Extract Series Values by Index Position or Index Label.html |
136б |
| 20. Python Crash Course, Part 3 - Dictionaries.mp4 |
7.21Мб |
| 20. Python Crash Course, Part 3 - Dictionaries.srt |
6.31Кб |
| 21.1 Official pandas documentation for the pandas.Series.get method.html |
142б |
| 21. Python Crash Course, Part 4 - Operators.mp4 |
7.88Мб |
| 21. Python Crash Course, Part 4 - Operators.srt |
7.02Кб |
| 21. Use the get Method to Retrieve a Value for an index label in a Series.mp4 |
41.11Мб |
| 21. Use the get Method to Retrieve a Value for an index label in a Series.srt |
13.69Кб |
| 22. Math Methods on Series Objects.mp4 |
10.16Мб |
| 22. Math Methods on Series Objects.srt |
7.82Кб |
| 22. Python Crash Course, Part 5 - Functions.mp4 |
10.13Мб |
| 22. Python Crash Course, Part 5 - Functions.srt |
9.61Кб |
| 23. Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.mp4 |
5.76Мб |
| 23. Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.srt |
4.40Кб |
| 24.1 Official Documentation for the Series.value_counts Method.html |
147б |
| 24. Use the value_counts Method to See Counts of Unique Values within a Series.mp4 |
6.74Мб |
| 24. Use the value_counts Method to See Counts of Unique Values within a Series.srt |
5.22Кб |
| 25. Use the apply Method to Invoke a Function on Every Series Values.mp4 |
12.32Мб |
| 25. Use the apply Method to Invoke a Function on Every Series Values.srt |
9.73Кб |
| 26. The .map() Method.mp4 |
13.10Мб |
| 26. The .map() Method.srt |
9.45Кб |
| 27. A Review of the Series Module.html |
135б |
| 3.1 notebooks.zip |
279.85Кб |
| 3.1 Official pandas documentation for the pandas.concat method.html |
138б |
| 3.1 Official pandas documentation for the pandas.DataFrame.loc accessor.html |
180б |
| 3.1 Official pandas documentation for the pandas.Index.get_level_values method.html |
154б |
| 3.1 Official pandas documentation for the pandas.Series.str.replace method.html |
150б |
| 3.1 Official pandas documentation for the pandas.Series.to_dict method.html |
146б |
| 3.2 Official pandas documentation for the pandas.Series.tolist method.html |
145б |
| 3. Changing pandas Options with Methods.mp4 |
13.93Мб |
| 3. Changing pandas Options with Methods.srt |
9.93Кб |
| 3. Completed Course Files.html |
1.02Кб |
| 3. Create A Series Object from a Python Dictionary.mp4 |
5.20Мб |
| 3. Create A Series Object from a Python Dictionary.srt |
4.33Кб |
| 3. Differences between Shared Methods.mp4 |
13.10Мб |
| 3. Differences between Shared Methods.srt |
9.77Кб |
| 3. Extract Index Level Values with the get_level_values Method.mp4 |
20.67Мб |
| 3. Extract Index Level Values with the get_level_values Method.srt |
6.05Кб |
| 3. Filter with More than One Condition (AND - &).mp4 |
9.30Мб |
| 3. Filter with More than One Condition (AND - &).srt |
6.66Кб |
| 3. Modifying Plot Aesthetics with matplotlib Templates.mp4 |
23.91Мб |
| 3. Modifying Plot Aesthetics with matplotlib Templates.srt |
7.48Кб |
| 3. Quick Object Conversions.mp4 |
43.65Мб |
| 3. Quick Object Conversions.srt |
10.48Кб |
| 3. Retrieve a group from a GroupBy object with the get_group Method.mp4 |
10.15Мб |
| 3. Retrieve a group from a GroupBy object with the get_group Method.srt |
5.42Кб |
| 3. Retrieve Rows by Index Label with loc Accessor.mp4 |
61.13Мб |
| 3. Retrieve Rows by Index Label with loc Accessor.srt |
19.22Кб |
| 3. The pandas Timestamp Object.mp4 |
12.81Мб |
| 3. The pandas Timestamp Object.srt |
10.18Кб |
| 3. The pd.concat Method, Part 2.mp4 |
30.59Мб |
| 3. The pd.concat Method, Part 2.srt |
9.84Кб |
| 3. Use the str.replace method to replace all occurrences of character with another.mp4 |
16.00Мб |
| 3. Use the str.replace method to replace all occurrences of character with another.srt |
12.04Кб |
| 4.1 Download page for Anaconda.html |
99б |
| 4.1 Official pandas documentation for the pandas.DataFrame.iloc accessor.html |
183б |
| 4.1 Official pandas documentation for the pandas.DataFrame.to_csv Method.html |
148б |
| 4.1 Official pandas documentation for the pandas.Index.set_names method.html |
147б |
| 4. Change Index Level Name with the set_names Method.mp4 |
19.01Мб |
| 4. Change Index Level Name with the set_names Method.srt |
5.86Кб |
| 4. Create a Series Object.html |
136б |
| 4. Creating Bar Graphs to Show Counts.mp4 |
27.24Мб |
| 4. Creating Bar Graphs to Show Counts.srt |
9.40Кб |
| 4. Export CSV File with the to_csv Method.mp4 |
27.24Мб |
| 4. Export CSV File with the to_csv Method.srt |
8.27Кб |
| 4. Filtering a DataFrame's rows with string methods.mp4 |
15.55Мб |
| 4. Filtering a DataFrame's rows with string methods.srt |
9.85Кб |
| 4. Filter with More than One Condition (OR - ).mp4 |
16.76Мб |
| 4. Filter with More than One Condition (OR - ).srt |
12.12Кб |
| 4. Inner Joins, Part 1.mp4 |
17.93Мб |
| 4. Inner Joins, Part 1.srt |
14.55Кб |
| 4. MacOS - Download the Anaconda Distribution, our Python development environment.mp4 |
16.23Мб |
| 4. MacOS - Download the Anaconda Distribution, our Python development environment.srt |
7.11Кб |
| 4. Methods on the Groupby Object and DataFrame Columns.mp4 |
20.50Мб |
| 4. Methods on the Groupby Object and DataFrame Columns.srt |
12.73Кб |
| 4. Retrieve Rows by Index Position with iloc Accessor.mp4 |
39.56Мб |
| 4. Retrieve Rows by Index Position with iloc Accessor.srt |
10.38Кб |
| 4. Select One Column from a DataFrame.mp4 |
14.88Мб |
| 4. Select One Column from a DataFrame.srt |
12.00Кб |
| 4. The pandas DateTimeIndex Object.mp4 |
9.66Мб |
| 4. The pandas DateTimeIndex Object.srt |
7.24Кб |
| 4. The precision Option.mp4 |
6.11Мб |
| 4. The precision Option.srt |
4.99Кб |
| 5.1 Official download page for the Anaconda distribution.html |
99б |
| 5.1 Official pandas documentation for the pandas.DataFrame.sort_index method.html |
152б |
| 5.1 Official Pandas documentation for the Series.isin method.html |
143б |
| 5. Creating Pie Charts to Represent Proportions.mp4 |
21.45Мб |
| 5. Creating Pie Charts to Represent Proportions.srt |
7.32Кб |
| 5. Grouping by Multiple Columns.mp4 |
10.34Мб |
| 5. Grouping by Multiple Columns.srt |
6.71Кб |
| 5. Inner Joins, Part 2.mp4 |
17.76Мб |
| 5. Inner Joins, Part 2.srt |
13.33Кб |
| 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 |
40.14Мб |
| 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.srt |
6.21Кб |
| 5. Intro to Attributes on a Series Object.mp4 |
12.85Мб |
| 5. Intro to Attributes on a Series Object.srt |
11.17Кб |
| 5. MacOS - Install Anaconda Distribution.mp4 |
91.00Мб |
| 5. MacOS - Install Anaconda Distribution.srt |
12.52Кб |
| 5. More String Methods - strip, lstrip, and rstrip for removing whitespace.mp4 |
9.55Мб |
| 5. More String Methods - strip, lstrip, and rstrip for removing whitespace.srt |
6.26Кб |
| 5. Passing second arguments to the loc and iloc Accessors.mp4 |
45.86Мб |
| 5. Passing second arguments to the loc and iloc Accessors.srt |
11.92Кб |
| 5. Select One Column from a DataFrame.html |
136б |
| 5. The .isin() Method.mp4 |
12.54Мб |
| 5. The .isin() Method.srt |
9.51Кб |
| 5. The pd.to_datetime() Method.mp4 |
22.89Мб |
| 5. The pd.to_datetime() Method.srt |
15.97Кб |
| 5. The sort_index Method on a MultiIndex DataFrame.mp4 |
35.24Мб |
| 5. The sort_index Method on a MultiIndex DataFrame.srt |
12.10Кб |
| 6.1 Official pandas article on advanced indexing with hierarchical index.html |
172б |
| 6.1 Official pandas documentation for the pandas.read_excel Method.html |
142б |
| 6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 |
19.69Мб |
| 6. Create Range of Dates with the pd.date_range() Method, Part 1.srt |
16.84Кб |
| 6. Extract Rows from a MultiIndex DataFrame.mp4 |
47.01Мб |
| 6. Extract Rows from a MultiIndex DataFrame.srt |
16.18Кб |
| 6. Import Excel File into pandas with the read_excel Method.mp4 |
49.19Мб |
| 6. Import Excel File into pandas with the read_excel Method.srt |
13.73Кб |
| 6. Intro to Methods on a Series Object.mp4 |
7.92Мб |
| 6. Intro to Methods on a Series Object.srt |
7.33Кб |
| 6. Invoking String Methods on Index and Columns.mp4 |
11.12Мб |
| 6. Invoking String Methods on Index and Columns.srt |
7.57Кб |
| 6. MacOS - Access the Terminal Application.mp4 |
73.08Мб |
| 6. MacOS - Access the Terminal Application.srt |
13.64Кб |
| 6. Outer Joins.mp4 |
25.94Мб |
| 6. Outer Joins.srt |
17.75Кб |
| 6. Select Two or More Columns from a DataFrame.mp4 |
9.94Мб |
| 6. Select Two or More Columns from a DataFrame.srt |
8.31Кб |
| 6. Set New Value for a Specific Cell or Cells In a Row.mp4 |
19.94Мб |
| 6. Set New Value for a Specific Cell or Cells In a Row.srt |
6.95Кб |
| 6. The .agg() Method.mp4 |
13.19Мб |
| 6. The .agg() Method.srt |
8.91Кб |
| 6. The .isnull() and .notnull() Methods.mp4 |
12.26Мб |
| 6. The .isnull() and .notnull() Methods.srt |
8.08Кб |
| 6. Visualization.html |
135б |
| 7.1 Official documentation for the pandas.ExcelWriter class.html |
143б |
| 7.1 Official pandas documentation for the pandas.DataFrame.transpose method.html |
151б |
| 7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 |
18.55Мб |
| 7. Create Range of Dates with the pd.date_range() Method, Part 2.srt |
12.61Кб |
| 7. Export Excel File with the to_excel Method.mp4 |
46.97Мб |
| 7. Export Excel File with the to_excel Method.srt |
11.87Кб |
| 7. Iterating through Groups.mp4 |
21.38Мб |
| 7. Iterating through Groups.srt |
12.74Кб |
| 7. Left Joins.mp4 |
21.00Мб |
| 7. Left Joins.srt |
13.47Кб |
| 7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 |
112.47Мб |
| 7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.srt |
21.29Кб |
| 7. Parameters and Arguments.mp4 |
18.29Мб |
| 7. Parameters and Arguments.srt |
14.61Кб |
| 7. Select Two or More Columns from a DataFrame.html |
136б |
| 7. Set Multiple Values in a DataFrame.mp4 |
38.57Мб |
| 7. Set Multiple Values in a DataFrame.srt |
9.38Кб |
| 7. Split Strings by Characters with the str.split Method.mp4 |
17.53Мб |
| 7. Split Strings by Characters with the str.split Method.srt |
12.60Кб |
| 7. The .between() Method.mp4 |
16.77Мб |
| 7. The .between() Method.srt |
10.19Кб |
| 7. The transpose Method on a MultiIndex DataFrame.mp4 |
35.64Мб |
| 7. The transpose Method on a MultiIndex DataFrame.srt |
12.04Кб |
| 8.1 Official documentation for the DataFrame.duplicated method.html |
152б |
| 8.1 Official pandas documentation for the pandas.DataFrame.rename method.html |
148б |
| 8.1 Official pandas documentation for the pandas.DataFrame.swaplevel method.html |
151б |
| 8.1 pandas.zip |
684.75Кб |
| 8. Add New Column to DataFrame.mp4 |
17.24Мб |
| 8. Add New Column to DataFrame.srt |
11.73Кб |
| 8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 |
16.34Мб |
| 8. Create Range of Dates with the pd.date_range() Method, Part 3.srt |
10.54Кб |
| 8. Create Series from Dataset with the pd.read_csv Method.mp4 |
60.36Мб |
| 8. Create Series from Dataset with the pd.read_csv Method.srt |
23.21Кб |
| 8. Input and Output.html |
135б |
| 8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 |
110.84Мб |
| 8. MacOS - Unpack Course Materials + The Start and Shutdown Process.srt |
21.29Кб |
| 8. More Practice with the str.split method on a Series.mp4 |
11.93Мб |
| 8. More Practice with the str.split method on a Series.srt |
8.48Кб |
| 8. Rename Index Labels or Columns in a DataFrame.mp4 |
58.07Мб |
| 8. Rename Index Labels or Columns in a DataFrame.srt |
13.69Кб |
| 8. The .duplicated() Method.mp4 |
19.57Мб |
| 8. The .duplicated() Method.srt |
13.71Кб |
| 8. The .swaplevel() Method.mp4 |
14.34Мб |
| 8. The .swaplevel() Method.srt |
5.25Кб |
| 8. The left_on and right_on Parameters.mp4 |
20.25Мб |
| 8. The left_on and right_on Parameters.srt |
13.29Кб |
| 9.1 Official documentation for the DataFrame.drop_duplicates method.html |
157б |
| 9.1 Official download page for the Anaconda distribution.html |
99б |
| 9.1 Official pandas documentation for the pandas.DataFrame.drop method.html |
146б |
| 9.2 Official pandas documentation for the pandas.DataFrame.pop method.html |
145б |
| 9. Broadcasting Operations.mp4 |
18.23Мб |
| 9. Broadcasting Operations.srt |
13.51Кб |
| 9. Delete Rows or Columns from a DataFrame.mp4 |
16.22Мб |
| 9. Delete Rows or Columns from a DataFrame.srt |
10.66Кб |
| 9. Exploring the expand and n Parameters of the str.split Method.mp4 |
15.31Мб |
| 9. Exploring the expand and n Parameters of the str.split Method.srt |
10.26Кб |
| 9. Import Series with the read_csv Method.html |
136б |
| 9. Merging by Indexes with the left_index and right_index Parameters.mp4 |
22.71Мб |
| 9. Merging by Indexes with the left_index and right_index Parameters.srt |
15.40Кб |
| 9. The .drop_duplicates() Method.mp4 |
17.56Мб |
| 9. The .drop_duplicates() Method.srt |
12.44Кб |
| 9. The .dt Accessor.mp4 |
13.69Мб |
| 9. The .dt Accessor.srt |
10.57Кб |
| 9. The .stack() Method.mp4 |
13.20Мб |
| 9. The .stack() Method.srt |
9.57Кб |
| 9. Windows - Download the Anaconda Distribution.mp4 |
17.88Мб |
| 9. Windows - Download the Anaconda Distribution.srt |
7.51Кб |