[FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

File Name

Size

0. Websites you may like/[CourseClub.ME].url

122 B

0. Websites you may like/[FCS Forum].url

133 B

0. Websites you may like/[FreeCourseSite.com].url

127 B

1. Installation and Setup/1. Introduction to Data Analysis with Pandas and Python.mp4

34 MB

1. Installation and Setup/1. Introduction to Data Analysis with Pandas and Python.srt

20 kB

1. Installation and Setup/1.1 pandas.zip

685 kB

1. Installation and Setup/10. Windows - Install Anaconda Distribution.mp4

39 MB

1. Installation and Setup/10. Windows - Install Anaconda Distribution.srt

10 kB

1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4

112 MB

1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.srt

30 kB

1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4

47 MB

1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.srt

21 kB

1. Installation and Setup/12.1 pandas.zip

686 kB

1. Installation and Setup/13. Intro to the Jupyter Notebook Interface.mp4

33 MB

1. Installation and Setup/13. Intro to the Jupyter Notebook Interface.srt

15 kB

1. Installation and Setup/14. Cell Types and Cell Modes in Jupyter Notebook.mp4

20 MB

1. Installation and Setup/14. Cell Types and Cell Modes in Jupyter Notebook.srt

11 kB

1. Installation and Setup/15. Code Cell Execution in Jupyter Notebook.mp4

8.8 MB

1. Installation and Setup/15. Code Cell Execution in Jupyter Notebook.srt

4.6 kB

1. Installation and Setup/16. Popular Keyboard Shortcuts in Jupyter Notebook.mp4

17 MB

1. Installation and Setup/16. Popular Keyboard Shortcuts in Jupyter Notebook.srt

5.6 kB

1. Installation and Setup/17. Import Libraries into Jupyter Notebook.mp4

26 MB

1. Installation and Setup/17. Import Libraries into Jupyter Notebook.srt

12 kB

1. Installation and Setup/2. About Me.mp4

21 MB

1. Installation and Setup/2. About Me.srt

1.7 kB

1. Installation and Setup/3. Completed Course Files.html

1.0 kB

1. Installation and Setup/3.1 notebooks.zip

280 kB

1. Installation and Setup/4. MacOS - Download the Anaconda Distribution, our Python development environment.mp4

16 MB

1. Installation and Setup/4. MacOS - Download the Anaconda Distribution, our Python development environment.srt

7.1 kB

1. Installation and Setup/4.1 Download page for Anaconda.html

99 B

1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4

91 MB

1. Installation and Setup/5. MacOS - Install Anaconda Distribution.srt

12 kB

1. Installation and Setup/5.1 Official download page for the Anaconda distribution.html

99 B

1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4

73 MB

1. Installation and Setup/6. MacOS - Access the Terminal Application.srt

14 kB

1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4

112 MB

1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.srt

21 kB

1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4

111 MB

1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.srt

21 kB

1. Installation and Setup/8.1 pandas.zip

685 kB

1. Installation and Setup/9. Windows - Download the Anaconda Distribution.mp4

18 MB

1. Installation and Setup/9. Windows - Download the Anaconda Distribution.srt

7.5 kB

1. Installation and Setup/9.1 Official download page for the Anaconda distribution.html

99 B

10. Merging, Joining, and Concatenating DataFrames/1. Intro to the Merging, Joining, and Concatenating Section.mp4

21 MB

10. Merging, Joining, and Concatenating DataFrames/1. Intro to the Merging, Joining, and Concatenating Section.srt

7.3 kB

10. Merging, Joining, and Concatenating DataFrames/1.1 Official Pandas documentation for the pandas.read_csv method to import a CSV file.html

140 B

10. Merging, Joining, and Concatenating DataFrames/10. The .join() Method.mp4

6.3 MB

10. Merging, Joining, and Concatenating DataFrames/10. The .join() Method.srt

4.5 kB

10. Merging, Joining, and Concatenating DataFrames/11. The pd.merge() Method.mp4

6.8 MB

10. Merging, Joining, and Concatenating DataFrames/11. The pd.merge() Method.srt

4.7 kB

10. Merging, Joining, and Concatenating DataFrames/2. The pd.concat Method, Part 1.mp4

22 MB

10. Merging, Joining, and Concatenating DataFrames/2. The pd.concat Method, Part 1.srt

8.0 kB

10. Merging, Joining, and Concatenating DataFrames/2.1 Official pandas documentation for the pandas.concat method.html

138 B

10. Merging, Joining, and Concatenating DataFrames/2.2 Official pandas documentation for the pandas.DataFrame.append method.html

148 B

10. Merging, Joining, and Concatenating DataFrames/3. The pd.concat Method, Part 2.mp4

31 MB

10. Merging, Joining, and Concatenating DataFrames/3. The pd.concat Method, Part 2.srt

9.8 kB

10. Merging, Joining, and Concatenating DataFrames/3.1 Official pandas documentation for the pandas.concat method.html

138 B

10. Merging, Joining, and Concatenating DataFrames/4. Inner Joins, Part 1.mp4

18 MB

10. Merging, Joining, and Concatenating DataFrames/4. Inner Joins, Part 1.srt

15 kB

10. Merging, Joining, and Concatenating DataFrames/5. Inner Joins, Part 2.mp4

18 MB

10. Merging, Joining, and Concatenating DataFrames/5. Inner Joins, Part 2.srt

13 kB

10. Merging, Joining, and Concatenating DataFrames/6. Outer Joins.mp4

26 MB

10. Merging, Joining, and Concatenating DataFrames/6. Outer Joins.srt

18 kB

10. Merging, Joining, and Concatenating DataFrames/7. Left Joins.mp4

21 MB

10. Merging, Joining, and Concatenating DataFrames/7. Left Joins.srt

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10. Merging, Joining, and Concatenating DataFrames/8. The left_on and right_on Parameters.mp4

20 MB

10. Merging, Joining, and Concatenating DataFrames/8. The left_on and right_on Parameters.srt

13 kB

10. Merging, Joining, and Concatenating DataFrames/9. Merging by Indexes with the left_index and right_index Parameters.mp4

23 MB

10. Merging, Joining, and Concatenating DataFrames/9. Merging by Indexes with the left_index and right_index Parameters.srt

15 kB

11. Working with Dates and Times in Datasets/1. Intro to the Working with Dates and Times Module.mp4

14 MB

11. Working with Dates and Times in Datasets/1. Intro to the Working with Dates and Times Module.srt

6.7 kB

11. Working with Dates and Times in Datasets/10. Install pandas-datareader Library.mp4

33 MB

11. Working with Dates and Times in Datasets/10. Install pandas-datareader Library.srt

5.5 kB

11. Working with Dates and Times in Datasets/10.1 Official documentation for the pandas-datareader library.html

112 B

11. Working with Dates and Times in Datasets/11. Import Financial Data Set with pandas_datareader Library.mp4

42 MB

11. Working with Dates and Times in Datasets/11. Import Financial Data Set with pandas_datareader Library.srt

12 kB

11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4

74 MB

11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.srt

17 kB

11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4

54 MB

11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.srt

15 kB

11. Working with Dates and Times in Datasets/13.1 Official Pandas documentation for the pandas.Timestamp class.html

141 B

11. Working with Dates and Times in Datasets/14. The pd.DateOffset Object.mp4

44 MB

11. Working with Dates and Times in Datasets/14. The pd.DateOffset Object.srt

10 kB

11. Working with Dates and Times in Datasets/14.1 Official Pandas documentation for the pandas.DateOffset class.html

158 B

11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4

75 MB

11. Working with Dates and Times in Datasets/15. Timeseries Offsets.srt

19 kB

11. Working with Dates and Times in Datasets/15.1 Official pandas documentation for various timeseries offsets.html

137 B

11. Working with Dates and Times in Datasets/16. The Timedelta Object.mp4

32 MB

11. Working with Dates and Times in Datasets/16. The Timedelta Object.srt

12 kB

11. Working with Dates and Times in Datasets/16.1 Official Pandas documentation for the pandas.Timedelta class.html

141 B

11. Working with Dates and Times in Datasets/17. Timedeltas in a Dataset.mp4

20 MB

11. Working with Dates and Times in Datasets/17. Timedeltas in a Dataset.srt

14 kB

11. Working with Dates and Times in Datasets/2. Review of Python's datetime Module.mp4

17 MB

11. Working with Dates and Times in Datasets/2. Review of Python's datetime Module.srt

13 kB

11. Working with Dates and Times in Datasets/3. The pandas Timestamp Object.mp4

13 MB

11. Working with Dates and Times in Datasets/3. The pandas Timestamp Object.srt

10 kB

11. Working with Dates and Times in Datasets/4. The pandas DateTimeIndex Object.mp4

9.7 MB

11. Working with Dates and Times in Datasets/4. The pandas DateTimeIndex Object.srt

7.2 kB

11. Working with Dates and Times in Datasets/5. The pd.to_datetime() Method.mp4

23 MB

11. Working with Dates and Times in Datasets/5. The pd.to_datetime() Method.srt

16 kB

11. Working with Dates and Times in Datasets/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4

20 MB

11. Working with Dates and Times in Datasets/6. Create Range of Dates with the pd.date_range() Method, Part 1.srt

17 kB

11. Working with Dates and Times in Datasets/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4

19 MB

11. Working with Dates and Times in Datasets/7. Create Range of Dates with the pd.date_range() Method, Part 2.srt

13 kB

11. Working with Dates and Times in Datasets/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4

16 MB

11. Working with Dates and Times in Datasets/8. Create Range of Dates with the pd.date_range() Method, Part 3.srt

10 kB

11. Working with Dates and Times in Datasets/9. The .dt Accessor.mp4

14 MB

11. Working with Dates and Times in Datasets/9. The .dt Accessor.srt

11 kB

12. Input and Output in pandas/1. Intro to the Input and Output Section.mp4

5.5 MB

12. Input and Output in pandas/1. Intro to the Input and Output Section.srt

2.1 kB

12. Input and Output in pandas/2. Pass a URL to the pd.read_csv Method.mp4

20 MB

12. Input and Output in pandas/2. Pass a URL to the pd.read_csv Method.srt

6.3 kB

12. Input and Output in pandas/3. Quick Object Conversions.mp4

44 MB

12. Input and Output in pandas/3. Quick Object Conversions.srt

10 kB

12. Input and Output in pandas/3.1 Official pandas documentation for the pandas.Series.to_dict method.html

146 B

12. Input and Output in pandas/3.2 Official pandas documentation for the pandas.Series.tolist method.html

145 B

12. Input and Output in pandas/4. Export CSV File with the to_csv Method.mp4

27 MB

12. Input and Output in pandas/4. Export CSV File with the to_csv Method.srt

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12. Input and Output in pandas/4.1 Official pandas documentation for the pandas.DataFrame.to_csv Method.html

148 B

12. Input and Output in pandas/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4

40 MB

12. Input and Output in pandas/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.srt

6.2 kB

12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4

49 MB

12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.srt

14 kB

12. Input and Output in pandas/6.1 Official pandas documentation for the pandas.read_excel Method.html

142 B

12. Input and Output in pandas/7. Export Excel File with the to_excel Method.mp4

47 MB

12. Input and Output in pandas/7. Export Excel File with the to_excel Method.srt

12 kB

12. Input and Output in pandas/7.1 Official documentation for the pandas.ExcelWriter class.html

143 B

12. Input and Output in pandas/8. Input and Output.html

135 B

13. Visualization/1. Intro to Visualization Section.mp4

16 MB

13. Visualization/1. Intro to Visualization Section.srt

7.9 kB

13. Visualization/1.1 Official website for the matplotlib plotting library for python.html

84 B

13. Visualization/2. Use the plot Method to Render a Line Chart.mp4

33 MB

13. Visualization/2. Use the plot Method to Render a Line Chart.srt

13 kB

13. Visualization/2.1 Official pandas documentation for the pandas.DataFrame.plot Method.html

146 B

13. Visualization/2.2 Official pandas documentation for the pandas.Series.plot method.html

143 B

13. Visualization/3. Modifying Plot Aesthetics with matplotlib Templates.mp4

24 MB

13. Visualization/3. Modifying Plot Aesthetics with matplotlib Templates.srt

7.5 kB

13. Visualization/4. Creating Bar Graphs to Show Counts.mp4

27 MB

13. Visualization/4. Creating Bar Graphs to Show Counts.srt

9.4 kB

13. Visualization/5. Creating Pie Charts to Represent Proportions.mp4

21 MB

13. Visualization/5. Creating Pie Charts to Represent Proportions.srt

7.3 kB

13. Visualization/6. Visualization.html

135 B

14. Options and Settings in pandas/1. Introduction to the Options and Settings Module.mp4

3.3 MB

14. Options and Settings in pandas/1. Introduction to the Options and Settings Module.srt

2.7 kB

14. Options and Settings in pandas/2. Changing pandas Options with Attributes and Dot Syntax.mp4

20 MB

14. Options and Settings in pandas/2. Changing pandas Options with Attributes and Dot Syntax.srt

46 MB

14. Options and Settings in pandas/3. Changing pandas Options with Methods.mp4

14 MB

14. Options and Settings in pandas/3. Changing pandas Options with Methods.srt

9.9 kB

14. Options and Settings in pandas/4. The precision Option.mp4

6.1 MB

14. Options and Settings in pandas/4. The precision Option.srt

5.0 kB

15. Conclusion/1. Conclusion.mp4

3.0 MB

15. Conclusion/1. Conclusion.srt

2.8 kB

15. Conclusion/2. Bonus!.html

2.0 kB

2. BONUS Python Crash Course/1. Intro to the Python Crash Course.mp4

14 MB

2. BONUS Python Crash Course/1. Intro to the Python Crash Course.srt

6.0 kB

2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4

56 MB

2. BONUS Python Crash Course/10. Index Positions and Slicing.srt

24 kB

2. BONUS Python Crash Course/11. Dictionaries.mp4

54 MB

2. BONUS Python Crash Course/11. Dictionaries.srt

24 kB

2. BONUS Python Crash Course/2. Comments.mp4

9.2 MB

2. BONUS Python Crash Course/2. Comments.srt

5.1 kB

2. BONUS Python Crash Course/3. Basic Data Types.mp4

32 MB

2. BONUS Python Crash Course/3. Basic Data Types.srt

17 kB

2. BONUS Python Crash Course/4. Operators.mp4

51 MB

2. BONUS Python Crash Course/4. Operators.srt

24 kB

2. BONUS Python Crash Course/5. Variables.mp4

24 MB

2. BONUS Python Crash Course/5. Variables.srt

13 kB

2. BONUS Python Crash Course/6. Built-in Functions.mp4

33 MB

2. BONUS Python Crash Course/6. Built-in Functions.srt

17 kB

2. BONUS Python Crash Course/7. Custom Functions.mp4

56 MB

2. BONUS Python Crash Course/7. Custom Functions.srt

26 kB

2. BONUS Python Crash Course/8. String Methods.mp4

75 MB

2. BONUS Python Crash Course/8. String Methods.srt

32 kB

2. BONUS Python Crash Course/9. Lists.mp4

44 MB

2. BONUS Python Crash Course/9. Lists.srt

20 kB

3. Series/1. Create Jupyter Notebook for the Series Module.mp4

7.2 MB

3. Series/1. Create Jupyter Notebook for the Series Module.srt

3.5 kB

3. Series/1.1 Official pandas documentation for the Series class.html

138 B

3. Series/10. Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4

6.5 MB

3. Series/10. Use the head and tail Methods to Return Rows from Beginning and End of Dataset.srt

5.4 kB

3. Series/10.1 Official pandas Documentation.html

138 B

3. Series/11. Passing pandas Objects to Python Built-In Functions.mp4

9.9 MB

3. Series/11. Passing pandas Objects to Python Built-In Functions.srt

7.4 kB

3. Series/12. Accessing More Series Attributes.mp4

12 MB

3. Series/12. Accessing More Series Attributes.srt

8.9 kB

3. Series/13. Use the sort_values method to sort a Series in ascending or descending order.mp4

11 MB

3. Series/13. Use the sort_values method to sort a Series in ascending or descending order.srt

9.2 kB

3. Series/13.1 Official pandas Documentation.html

145 B

3. Series/14. Use the inplace Parameter to permanently mutate a pandas data structure.mp4

9.4 MB

3. Series/14. Use the inplace Parameter to permanently mutate a pandas data structure.srt

8.1 kB

3. Series/15. Use the sort_index Method to Sort the Index of a pandas Series object.mp4

8.6 MB

3. Series/15. Use the sort_index Method to Sort the Index of a pandas Series object.srt

6.9 kB

3. Series/15.1 Official pandas Documentation.html

144 B

3. Series/16. The sort_values and sort_index Methods.html

136 B

3. Series/17. Use Python's in Keyword to Check for Inclusion in Series values or index.mp4

7.3 MB

3. Series/17. Use Python's in Keyword to Check for Inclusion in Series values or index.srt

5.6 kB

3. Series/18. Extract Series Values by Index Positiox.mp4

8.9 MB

3. Series/18. Extract Series Values by Index Positiox.srt

6.0 kB

3. Series/19. Extract Series Values by Index Label.mp4

46 MB

3. Series/19. Extract Series Values by Index Label.srt

15 MB

3. Series/2. Create A Series Object from a Python List.mp4

18 MB

3. Series/2. Create A Series Object from a Python List.srt

16 kB

3. Series/20. Extract Series Values by Index Position or Index Label.html

136 B

3. Series/21. Use the get Method to Retrieve a Value for an index label in a Series.mp4

41 MB

3. Series/21. Use the get Method to Retrieve a Value for an index label in a Series.srt

14 kB

3. Series/21.1 Official pandas documentation for the pandas.Series.get method.html

142 B

3. Series/22. Math Methods on Series Objects.mp4

10 MB

3. Series/22. Math Methods on Series Objects.srt

7.8 kB

3. Series/23. Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.mp4

5.8 MB

3. Series/23. Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.srt

15 MB

3. Series/24. Use the value_counts Method to See Counts of Unique Values within a Series.mp4

6.7 MB

3. Series/24. Use the value_counts Method to See Counts of Unique Values within a Series.srt

5.2 kB

3. Series/24.1 Official Documentation for the Series.value_counts Method.html

147 B

3. Series/25. Use the apply Method to Invoke a Function on Every Series Values.mp4

12 MB

3. Series/25. Use the apply Method to Invoke a Function on Every Series Values.srt

9.7 kB

3. Series/26. The Series#map Method.mp4

13 MB

3. Series/26. The Series#map Method.srt

9.5 kB

3. Series/27. A Review of the Series Module.html

135 B

3. Series/3. Create A Series Object from a Python Dictionary.mp4

5.2 MB

3. Series/3. Create A Series Object from a Python Dictionary.srt

4.3 kB

3. Series/3.1 pandas documentation for instantiating Series from variety of inputs.html

136 B

3. Series/4. Create a Series Object.html

136 B

3. Series/5. Intro to Attributes on a Series Object.mp4

13 MB

3. Series/5. Intro to Attributes on a Series Object.srt

11 kB

3. Series/6. Intro to Methods on a Series Object.mp4

7.9 MB

3. Series/6. Intro to Methods on a Series Object.srt

7.3 kB

3. Series/7. Parameters and Arguments.mp4

18 MB

3. Series/7. Parameters and Arguments.srt

15 kB

3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4

60 MB

3. Series/8. Create Series from Dataset with the pd.read_csv Method.srt

23 kB

3. Series/9. Import Series with the read_csv Method.html

136 B

4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4

50 MB

4. DataFrames I Introduction/1. Intro to DataFrames I Module.srt

15 kB

4. DataFrames I Introduction/10. A Review of the value_counts Method.mp4

8.4 MB

4. DataFrames I Introduction/10. A Review of the value_counts Method.srt

5.9 kB

4. DataFrames I Introduction/11. Drop DataFrame Rows with Null Values with the dropna Method.mp4

19 MB

4. DataFrames I Introduction/11. Drop DataFrame Rows with Null Values with the dropna Method.srt

9.4 kB

4. DataFrames I Introduction/12. Delete DataFrame Rows with Missing Values.html

136 B

4. DataFrames I Introduction/13. Fill in Null DataFrame Values with the fillna Method.mp4

11 MB

4. DataFrames I Introduction/13. Fill in Null DataFrame Values with the fillna Method.srt

7.0 kB

4. DataFrames I Introduction/13.1 Official pandas Documentation.html

143 B

4. DataFrames I Introduction/14. Convert DataFrame Column Types with the astype Method.mp4

24 MB

4. DataFrames I Introduction/14. Convert DataFrame Column Types with the astype Method.srt

16 kB

4. DataFrames I Introduction/14.1 Official pandas Documentation.html

143 B

4. DataFrames I Introduction/15. Sort a DataFrame with the sort_values Method, Part I.mp4

13 MB

4. DataFrames I Introduction/15. Sort a DataFrame with the sort_values Method, Part I.srt

8.1 kB

4. DataFrames I Introduction/15.1 Official pandas Documentation.html

148 B

4. DataFrames I Introduction/16. Sort a DataFrame with the sort_values Method, Part II.mp4

8.8 MB

4. DataFrames I Introduction/16. Sort a DataFrame with the sort_values Method, Part II.srt

6.2 kB

4. DataFrames I Introduction/16.1 Official pandas Documentation.html

148 B

4. DataFrames I Introduction/17. The sort_values Method on a DataFrame.html

136 B

4. DataFrames I Introduction/18. Sort DataFrame Indexwith the sort_index Method.mp4

6.6 MB

4. DataFrames I Introduction/18. Sort DataFrame Indexwith the sort_index Method.srt

4.1 kB

4. DataFrames I Introduction/18.1 Official pandas Documentation.html

147 B

4. DataFrames I Introduction/19. Rank Series Values with the rank Method.mp4

13 MB

4. DataFrames I Introduction/19. Rank Series Values with the rank Method.srt

8.5 kB

4. DataFrames I Introduction/19.1 Official pandas Documentation.html

141 B

4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4

68 MB

4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.srt

21 kB

4. DataFrames I Introduction/3. Differences between Shared Methods.mp4

13 MB

4. DataFrames I Introduction/3. Differences between Shared Methods.srt

9.8 kB

4. DataFrames I Introduction/4. Select One Column from a DataFrame.mp4

15 MB

4. DataFrames I Introduction/4. Select One Column from a DataFrame.srt

12 kB

4. DataFrames I Introduction/5. Select One Column from a DataFrame.html

136 B

4. DataFrames I Introduction/6. Select Two or More Columns from a DataFrame.mp4

9.9 MB

4. DataFrames I Introduction/6. Select Two or More Columns from a DataFrame.srt

8.3 kB

4. DataFrames I Introduction/7. Select Two or More Columns from a DataFrame.html

136 B

4. DataFrames I Introduction/8. Add New Column to DataFrame.mp4

17 MB

4. DataFrames I Introduction/8. Add New Column to DataFrame.srt

12 kB

4. DataFrames I Introduction/9. Broadcasting Operations on DataFrames.mp4

18 MB

4. DataFrames I Introduction/9. Broadcasting Operations on DataFrames.srt

14 kB

5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4

98 MB

5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.srt

25 kB

5. DataFrames II Filtering Data/10. Identify and Count Unique Values with the unique and nunique Methods.mp4

8.2 MB

5. DataFrames II Filtering Data/10. Identify and Count Unique Values with the unique and nunique Methods.srt

6.5 kB

5. DataFrames II Filtering Data/2. Filter a DataFrame Based on A Condition.mp4

27 MB

5. DataFrames II Filtering Data/2. Filter a DataFrame Based on A Condition.srt

19 kB

5. DataFrames II Filtering Data/3. Filter DataFrame with More than One Condition (AND - &).mp4

9.3 MB

5. DataFrames II Filtering Data/3. Filter DataFrame with More than One Condition (AND - &).srt

6.7 kB

5. DataFrames II Filtering Data/4. Filter DataFrame with More than One Condition (OR - ).mp4

17 MB

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6. DataFrames III Data Extraction/1. Intro to the DataFrames III Module + Import Dataset.mp4

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6. DataFrames III Data Extraction/14. A Review of the apply Method on a pandas Series Object.mp4

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6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4

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6. DataFrames III Data Extraction/4. Retrieve Rows by Index Position with iloc Accessor.mp4

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7. Working with Text Data/1. Intro to the Working with Text Data Section.mp4

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8. MultiIndex/1. Intro to the MultiIndex Module.mp4

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