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

Creation Time	June 26, 2024, 1:46 p.m.
Last Access Time	Nov. 13, 2024, 10:42 p.m.
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Keywords	and FreeCourseSite with com - Analysis Udemy Python Data Pandas
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1 - Installation and Setup/1 - Introduction to Data Analysis with Pandas and Python.mp4 125.3 MB
5 - DataFrames II Filtering Data/95 - Filter a DataFrame Based on A Condition.mp4 82.3 MB
5 - DataFrames II Filtering Data/94 - This Modules Dataset Memory Optimization.mp4 75.3 MB
10 - Merging Joining and Concatenating DataFrames/167 - Left Joins.mp4 63.1 MB
11 - Working with Dates and Times in Datasets/177 - Create Range of Dates with the pddaterange Method Part 1.mp4 62.3 MB
9 - The GroupBy Object/155 - First Operations with groupby Object.mp4 61.6 MB
3 - Series/45 - Parameters and Arguments.mp4 61.3 MB
10 - Merging Joining and Concatenating DataFrames/166 - Outer Joins.mp4 59.6 MB
1 - Installation and Setup/7 - macOS.mp4 59.2 MB
6 - DataFrames III Data Extraction/116 - Rename Index Labels or Columns in a DataFrame.mp4 58.0 MB
11 - Working with Dates and Times in Datasets/178 - Create Range of Dates with the pddaterange Method Part 2.mp4 56.3 MB
10 - Merging Joining and Concatenating DataFrames/169 - Merging by Indexes with the leftindex and rightindex Parameters.mp4 54.0 MB
5 - DataFrames II Filtering Data/106 - Check for Duplicate DataFrame Rows with the duplicated Method.mp4 53.7 MB
1 - Installation and Setup/8 - macOS.mp4 52.0 MB
1 - Installation and Setup/6 - macOS.mp4 51.8 MB
11 - Working with Dates and Times in Datasets/176 - The pdtodatetime Method.mp4 50.0 MB
1 - Installation and Setup/10 - Windows.mp4 49.8 MB
4 - DataFrames I Introduction/86 - The astype Method II.mp4 49.2 MB
10 - Merging Joining and Concatenating DataFrames/168 - The lefton and righton Parameters.mp4 48.5 MB
7 - Working with Text Data/126 - Common String Methods lower upper title and len.mp4 47.9 MB
8 - MultiIndex/152 - Use the pdmelt method to create a narrow dataset from a wide one.mp4 47.8 MB
1 - Installation and Setup/11 - Windows.mp4 47.7 MB
3 - Series/47 - Import Series with the pdreadcsv Function.mp4 44.0 MB
10 - Merging Joining and Concatenating DataFrames/164 - Inner Joins Part 1.mp4 43.4 MB
3 - Series/43 - Intro to Attributes.mp4 42.3 MB
9 - The GroupBy Object/159 - The agg Method.mp4 41.5 MB
1 - Installation and Setup/5 - macOS.mp4 41.2 MB
14 - Options and Settings in pandas/202 - Changing pandas Options with Attributes and Dot Syntax.mp4 40.8 MB
2 - BONUS Python Crash Course/29 - String Methods.mp4 40.1 MB
12 - Input and Output in pandas/194 - Import Excel File into pandas with the readexcel Method.mp4 39.2 MB
7 - Working with Text Data/128 - Use the strreplace method to replace all occurrences of character with another.mp4 38.9 MB
4 - DataFrames I Introduction/89 - Sort a DataFrame with the sortvalues Method Part II.mp4 38.5 MB
12 - Input and Output in pandas/195 - Export Excel File with the toexcel Method.mp4 36.9 MB
8 - MultiIndex/146 - The stack Method.mp4 36.4 MB
7 - Working with Text Data/133 - More Practice with the strsplit method on a Series.mp4 36.4 MB
6 - DataFrames III Data Extraction/124 - Create a Copy of a DataFrame with the copy Method.mp4 36.1 MB
7 - Working with Text Data/129 - Filter a DataFrames Rows with String Methods.mp4 36.1 MB
6 - DataFrames III Data Extraction/111 - Retrieve Rows by Index Label with loc Accessor.mp4 34.4 MB
6 - DataFrames III Data Extraction/120 - Filter A DataFrame with the where method.mp4 34.4 MB
3 - Series/64 - The inplace Parameter.mp4 34.0 MB
9 - The GroupBy Object/160 - Iterating through Groups.mp4 33.7 MB
6 - DataFrames III Data Extraction/121 - Filter A DataFrame with the query method.mp4 33.0 MB
9 - The GroupBy Object/157 - Methods on the Groupby Object and DataFrame Columns.mp4 33.0 MB
14 - Options and Settings in pandas/203 - Changing pandas Options with Methods.mp4 33.0 MB
11 - Working with Dates and Times in Datasets/188 - Timedeltas in a Dataset.mp4 32.9 MB
8 - MultiIndex/151 - Use the pivottable method to create an aggregate summary of a DataFrame.mp4 32.7 MB
4 - DataFrames I Introduction/75 - Select One Column from a DataFrame.mp4 32.6 MB
11 - Working with Dates and Times in Datasets/186 - Timeseries Offsets.mp4 32.4 MB
5 - DataFrames II Filtering Data/107 - Delete Duplicate DataFrame Rows with the dropduplicates Method.mp4 32.2 MB
11 - Working with Dates and Times in Datasets/183 - Selecting Rows from a DataFrame with a DateTimeIndex.mp4 32.1 MB
4 - DataFrames I Introduction/92 - Rank Series Values with the rank Method.mp4 32.0 MB
8 - MultiIndex/148 - The unstack Method Part 2.mp4 31.2 MB
4 - DataFrames I Introduction/73 - Methods and Attributes between Series and DataFrames.mp4 31.1 MB
2 - BONUS Python Crash Course/27 - Custom Functions.mp4 30.9 MB
4 - DataFrames I Introduction/85 - The astype Method I.mp4 30.8 MB
4 - DataFrames I Introduction/84 - Fill in Missing DataFrame Values with the fillna Method.mp4 30.7 MB
4 - DataFrames I Introduction/80 - Create New Column from Existing Column.mp4 30.6 MB
2 - BONUS Python Crash Course/33 - Index Positions and Slicing.mp4 30.0 MB
11 - Working with Dates and Times in Datasets/173 - Review of Pythons datetime Module.mp4 29.2 MB
2 - BONUS Python Crash Course/35 - Dictionaries.mp4 29.1 MB
6 - DataFrames III Data Extraction/117 - Delete Rows or Columns from a DataFrame.mp4 29.0 MB
3 - Series/63 - The copy Method.mp4 28.6 MB
2 - BONUS Python Crash Course/31 - Lists.mp4 28.4 MB
11 - Working with Dates and Times in Datasets/184 - Timestamp Object Attributes and Methods.mp4 28.3 MB
6 - DataFrames III Data Extraction/119 - Use the nsmallest nlargest methods to get rows with smallest largest values.mp4 28.3 MB
7 - Working with Text Data/132 - Split Strings by Characters with the strsplit Method.mp4 28.2 MB
2 - BONUS Python Crash Course/22 - Operators.mp4 28.0 MB
7 - Working with Text Data/134 - Exploring the expand and n Parameters of the strsplit Method.mp4 27.6 MB
5 - DataFrames II Filtering Data/99 - Filter DataFrame with More than One Condition OR.mp4 27.5 MB
8 - MultiIndex/149 - The unstack Method Part 3.mp4 27.3 MB
1 - Installation and Setup/12 - Windows.mp4 27.1 MB
4 - DataFrames I Introduction/72 - Intro to DataFrames I Module.mp4 26.6 MB
5 - DataFrames II Filtering Data/104 - Check For Inclusion Within a Range of Values with the between Method.mp4 26.5 MB
4 - DataFrames I Introduction/82 - Drop DataFrame Rows with Null Values with the dropna Method.mp4 26.2 MB
11 - Working with Dates and Times in Datasets/179 - Create Range of Dates with the pddaterange Method Part 3.mp4 25.7 MB
6 - DataFrames III Data Extraction/113 - Passing second arguments to the loc and iloc Accessors.mp4 25.7 MB
12 - Input and Output in pandas/192 - Export CSV File with the tocsv Method.mp4 24.8 MB
9 - The GroupBy Object/158 - Grouping by Multiple Columns.mp4 24.5 MB
4 - DataFrames I Introduction/79 - Add New Column to DataFrame.mp4 23.8 MB
4 - DataFrames I Introduction/88 - Sort a DataFrame with the sortvalues Method Part I.mp4 23.4 MB
9 - The GroupBy Object/154 - Intro to the GroupBy Module.mp4 23.1 MB
8 - MultiIndex/142 - Extract Rows from a MultiIndex DataFrame.mp4 22.8 MB
11 - Working with Dates and Times in Datasets/181 - Install pandas.mp4 22.6 MB
8 - MultiIndex/136 - Create a MultiIndex on a DataFrame with the setindex Method.mp4 22.1 MB
3 - Series/58 - Extract Series Values by Index Position.mp4 21.8 MB
12 - Input and Output in pandas/191 - Quick Object Conversions.mp4 21.6 MB
3 - Series/39 - Create A Series Object from a Python List.mp4 21.6 MB
10 - Merging Joining and Concatenating DataFrames/165 - Inner Joins Part 2.mp4 20.8 MB
5 - DataFrames II Filtering Data/101 - Check for Inclusion with the isin Method.mp4 20.6 MB
12 - Input and Output in pandas/190 - Pass a URL to the pdreadcsv Method.mp4 19.8 MB
11 - Working with Dates and Times in Datasets/182 - Import Financial Data Set with pandasdatareader Library.mp4 19.2 MB
5 - DataFrames II Filtering Data/103 - Check for Null and Present DataFrame Values with the isnull and notnull Methods.mp4 18.8 MB
11 - Working with Dates and Times in Datasets/185 - The pdDateOffset Object.mp4 18.7 MB
6 - DataFrames III Data Extraction/122 - A Review of the apply Method on a pandas Series Object.mp4 18.6 MB
2 - BONUS Python Crash Course/25 - Built.mp4 18.3 MB
2 - BONUS Python Crash Course/21 - Basic Data Types.mp4 18.2 MB
8 - MultiIndex/144 - The transpose Method on a MultiIndex DataFrame.mp4 18.0 MB
3 - Series/61 - The get Method.mp4 17.6 MB
6 - DataFrames III Data Extraction/110 - Use the setindex and resetindex methods to define a new DataFrame index.mp4 17.6 MB
11 - Working with Dates and Times in Datasets/180 - The dt Accessor.mp4 17.5 MB
11 - Working with Dates and Times in Datasets/174 - The pandas Timestamp Object.mp4 17.4 MB
6 - DataFrames III Data Extraction/123 - Apply a Function to every DataFrame Row with the apply Method.mp4 17.2 MB
6 - DataFrames III Data Extraction/112 - Retrieve Rows by Index Position with iloc Accessor.mp4 17.2 MB
3 - Series/70 - The map Method.mp4 17.1 MB
11 - Working with Dates and Times in Datasets/187 - The Timedelta Object.mp4 17.1 MB
8 - MultiIndex/141 - The sortindex Method on a MultiIndex DataFrame.mp4 16.8 MB
1 - Installation and Setup/13 - Intro to the Jupyter Notebook Interface.mp4 16.3 MB
13 - Visualization/197 - Use the plot Method to Render a Line Chart.mp4 16.2 MB
6 - DataFrames III Data Extraction/115 - Set Multiple Values in a DataFrame.mp4 16.1 MB
3 - Series/49 - Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4 16.0 MB
3 - Series/51 - Passing Series to Python Built.mp4 16.0 MB
3 - Series/69 - Use the apply Method to Invoke a Function on Every Series Values.mp4 15.8 MB
8 - MultiIndex/150 - The pivot Method.mp4 15.7 MB
3 - Series/62 - Overwrite a Series Value.mp4 15.7 MB
10 - Merging Joining and Concatenating DataFrames/163 - The pdconcat Method Part 2.mp4 15.3 MB
9 - The GroupBy Object/156 - Retrieve a group from a GroupBy object with the getgroup Method.mp4 15.1 MB
5 - DataFrames II Filtering Data/97 - Filter DataFrame with More than One Condition AND.mp4 14.8 MB
7 - Working with Text Data/131 - Invoke String Methods on DataFrame Index and Columns.mp4 14.6 MB
1 - Installation and Setup/17 - Import Libraries into Jupyter Notebook.mp4 14.5 MB
7 - Working with Text Data/125 - Intro to the Working with Text Data Section.mp4 14.4 MB
7 - Working with Text Data/130 - More DataFrame String Methods.mp4 14.4 MB
13 - Visualization/198 - Modifying Plot Aesthetics with matplotlib Templates.mp4 13.8 MB
13 - Visualization/199 - Creating Bar Graphs to Show Counts.mp4 13.4 MB
3 - Series/67 - Use the valuecounts Method to See Counts of Unique Values within a Series.mp4 13.3 MB
2 - BONUS Python Crash Course/23 - Variables.mp4 13.3 MB
3 - Series/59 - Extract Series Values by Index Label.mp4 13.2 MB
11 - Working with Dates and Times in Datasets/175 - The pandas DateTimeIndex Object.mp4 13.1 MB
14 - Options and Settings in pandas/204 - The precision Option.mp4 12.9 MB
4 - DataFrames I Introduction/74 - Differences between Shared Methods.mp4 12.5 MB
3 - Series/42 - Intro to Methods.mp4 12.5 MB
6 - DataFrames III Data Extraction/109 - Intro to the DataFrames III Module Import Dataset.mp4 12.5 MB
6 - DataFrames III Data Extraction/118 - Create Random Sample with the sample Method.mp4 12.3 MB
10 - Merging Joining and Concatenating DataFrames/161 - Intro to the Merging Joining and Concatenating Section.mp4 11.9 MB
3 - Series/40 - Create A Series Object from a Python Dictionary.mp4 11.7 MB
8 - MultiIndex/147 - The unstack Method Part 1.mp4 11.4 MB
12 - Input and Output in pandas/193 - Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 11.4 MB
3 - Series/56 - Check for Inclusion with Pythons in Keyword.mp4 11.4 MB
5 - DataFrames II Filtering Data/108 - Identify and Count Unique Values with the unique and nunique Methods.mp4 11.0 MB
4 - DataFrames I Introduction/77 - Select Two or More Columns from a DataFrame.mp4 10.8 MB
13 - Visualization/200 - Creating Pie Charts to Represent Proportions.mp4 10.7 MB
10 - Merging Joining and Concatenating DataFrames/162 - The pdconcat Method Part 1.mp4 10.5 MB
1 - Installation and Setup/14 - Cell Types and Cell Modes in Jupyter Notebook.mp4 10.5 MB
3 - Series/52 - The sortvalues Method.mp4 10.4 MB
10 - Merging Joining and Concatenating DataFrames/171 - The pdmerge Method.mp4 10.3 MB
6 - DataFrames III Data Extraction/114 - Set New Value for a Specific Cell or Cells In a Row.mp4 10.1 MB
8 - MultiIndex/138 - Extract Index Level Values with the getlevelvalues Method.mp4 9.9 MB
8 - MultiIndex/135 - Intro to the MultiIndex Module.mp4 9.8 MB
1 - Installation and Setup/4 - macOS.mp4 9.8 MB
10 - Merging Joining and Concatenating DataFrames/170 - The join Method.mp4 9.5 MB
4 - DataFrames I Introduction/91 - Sort DataFrame Index with the sortindex Method.mp4 9.4 MB
3 - Series/65 - Math Methods on Series Objects.mp4 9.1 MB
8 - MultiIndex/140 - Change Index Level Name with the setnames Method.mp4 9.1 MB
3 - Series/54 - The sortindex Method.mp4 8.9 MB
4 - DataFrames I Introduction/81 - A Review of the valuecounts Method.mp4 8.2 MB
3 - Series/66 - Broadcasting.mp4 8.1 MB
1 - Installation and Setup/16 - Popular Keyboard Shortcuts in Jupyter Notebook.mp4 8.1 MB
13 - Visualization/196 - Intro to Visualization Section.mp4 8.1 MB
2 - BONUS Python Crash Course/19 - Intro to the Python Crash Course.mp4 7.6 MB
8 - MultiIndex/145 - The swaplevel Method.mp4 7.3 MB
11 - Working with Dates and Times in Datasets/172 - Intro to the Working with Dates and Times Module.mp4 7.3 MB
2 - BONUS Python Crash Course/20 - Comments.mp4 5.2 MB
1 - Installation and Setup/15 - Code Cell Execution in Jupyter Notebook.mp4 4.7 MB
14 - Options and Settings in pandas/201 - Introduction to the Options and Settings Module.mp4 4.2 MB
1 - Installation and Setup/2 - About Me.mp4 4.1 MB
15 - Conclusion/205 - Conclusion.mp4 3.7 MB
3 - Series/38 - Create Jupyter Notebook for the Series Module.mp4 3.7 MB
12 - Input and Output in pandas/189 - Intro to the Input and Output Section.mp4 2.6 MB
1 - Installation and Setup/12 - pandas.zip 686.2 KB
1 - Installation and Setup/1 - pandas.zip 684.7 KB
1 - Installation and Setup/8 - pandas.zip 684.7 KB
1 - Installation and Setup/3 - notebooks.zip 279.8 KB
4 - DataFrames I Introduction/93 - 04DataFramesIipynb 159.3 KB
2 - BONUS Python Crash Course/37 - 02BONUSPythonCrashCourseipynb 52.0 KB
3 - Series/71 - Seriesipynb 50.0 KB
2 - BONUS Python Crash Course/29 - String Methods English.vtt 27.7 KB
3 - Series/45 - Parameters and Arguments English.vtt 27.1 KB
3 - Series/47 - Import Series with the pdreadcsv Function English.vtt 26.8 KB
1 - Installation and Setup/11 - Windows English.vtt 26.6 KB
2 - BONUS Python Crash Course/27 - Custom Functions English.vtt 22.7 KB
5 - DataFrames II Filtering Data/94 - This Modules Dataset Memory Optimization English.vtt 22.1 KB
2 - BONUS Python Crash Course/22 - Operators English.vtt 20.9 KB
2 - BONUS Python Crash Course/35 - Dictionaries English.vtt 20.6 KB
2 - BONUS Python Crash Course/33 - Index Positions and Slicing English.vtt 20.5 KB
3 - Series/64 - The inplace Parameter English.vtt 19.7 KB
1 - Installation and Setup/8 - macOS English.vtt 19.4 KB
4 - DataFrames I Introduction/73 - Methods and Attributes between Series and DataFrames English.vtt 19.2 KB
1 - Installation and Setup/7 - macOS English.vtt 19.1 KB
1 - Installation and Setup/12 - Windows English.vtt 19.1 KB
3 - Series/39 - Create A Series Object from a Python List English.vtt 18.8 KB
1 - Installation and Setup/1 - Introduction to Data Analysis with Pandas and Python English.vtt 17.8 KB
2 - BONUS Python Crash Course/31 - Lists English.vtt 17.7 KB
11 - Working with Dates and Times in Datasets/186 - Timeseries Offsets English.vtt 17.0 KB
5 - DataFrames II Filtering Data/95 - Filter a DataFrame Based on A Condition English.vtt 16.9 KB
6 - DataFrames III Data Extraction/111 - Retrieve Rows by Index Label with loc Accessor English.vtt 16.8 KB
3 - Series/63 - The copy Method English.vtt 16.4 KB
10 - Merging Joining and Concatenating DataFrames/166 - Outer Joins English.vtt 16.3 KB
4 - DataFrames I Introduction/80 - Create New Column from Existing Column English.vtt 15.5 KB
11 - Working with Dates and Times in Datasets/183 - Selecting Rows from a DataFrame with a DateTimeIndex English.vtt 15.4 KB
11 - Working with Dates and Times in Datasets/177 - Create Range of Dates with the pddaterange Method Part 1 English.vtt 15.3 KB
8 - MultiIndex/151 - Use the pivottable method to create an aggregate summary of a DataFrame English.vtt 15.0 KB
2 - BONUS Python Crash Course/25 - Built English.vtt 14.7 KB
1 - Installation and Setup/10 - Windows English.vtt 14.7 KB
2 - BONUS Python Crash Course/21 - Basic Data Types English.vtt 14.6 KB
8 - MultiIndex/142 - Extract Rows from a MultiIndex DataFrame English.vtt 14.5 KB
3 - Series/43 - Intro to Attributes English.vtt 14.4 KB
4 - DataFrames I Introduction/89 - Sort a DataFrame with the sortvalues Method Part II English.vtt 14.4 KB
11 - Working with Dates and Times in Datasets/176 - The pdtodatetime Method English.vtt 14.3 KB
10 - Merging Joining and Concatenating DataFrames/169 - Merging by Indexes with the leftindex and rightindex Parameters English.vtt 14.0 KB
4 - DataFrames I Introduction/86 - The astype Method II English.vtt 13.9 KB
1 - Installation and Setup/13 - Intro to the Jupyter Notebook Interface English.vtt 13.7 KB
11 - Working with Dates and Times in Datasets/184 - Timestamp Object Attributes and Methods English.vtt 13.4 KB
11 - Working with Dates and Times in Datasets/188 - Timedeltas in a Dataset English.vtt 13.3 KB
10 - Merging Joining and Concatenating DataFrames/164 - Inner Joins Part 1 English.vtt 13.2 KB
8 - MultiIndex/136 - Create a MultiIndex on a DataFrame with the setindex Method English.vtt 13.2 KB
4 - DataFrames I Introduction/72 - Intro to DataFrames I Module English.vtt 13.1 KB
9 - The GroupBy Object/155 - First Operations with groupby Object English.vtt 12.7 KB
4 - DataFrames I Introduction/84 - Fill in Missing DataFrame Values with the fillna Method English.vtt 12.7 KB
1 - Installation and Setup/6 - macOS English.vtt 12.6 KB
6 - DataFrames III Data Extraction/116 - Rename Index Labels or Columns in a DataFrame English.vtt 12.5 KB
11 - Working with Dates and Times in Datasets/173 - Review of Pythons datetime Module English.vtt 12.5 KB
12 - Input and Output in pandas/194 - Import Excel File into pandas with the readexcel Method English.vtt 12.4 KB
4 - DataFrames I Introduction/88 - Sort a DataFrame with the sortvalues Method Part I English.vtt 12.3 KB
10 - Merging Joining and Concatenating DataFrames/167 - Left Joins English.vtt 12.3 KB
10 - Merging Joining and Concatenating DataFrames/168 - The lefton and righton Parameters English.vtt 12.2 KB
5 - DataFrames II Filtering Data/106 - Check for Duplicate DataFrame Rows with the duplicated Method English.vtt 12.2 KB
10 - Merging Joining and Concatenating DataFrames/165 - Inner Joins Part 2 English.vtt 12.1 KB
3 - Series/58 - Extract Series Values by Index Position English.vtt 11.9 KB
11 - Working with Dates and Times in Datasets/178 - Create Range of Dates with the pddaterange Method Part 2 English.vtt 11.8 KB
4 - DataFrames I Introduction/82 - Drop DataFrame Rows with Null Values with the dropna Method English.vtt 11.8 KB
9 - The GroupBy Object/157 - Methods on the Groupby Object and DataFrame Columns English.vtt 11.7 KB
9 - The GroupBy Object/160 - Iterating through Groups English.vtt 11.6 KB
6 - DataFrames III Data Extraction/121 - Filter A DataFrame with the query method English.vtt 11.4 KB
3 - Series/61 - The get Method English.vtt 11.4 KB
1 - Installation and Setup/17 - Import Libraries into Jupyter Notebook English.vtt 11.3 KB
11 - Working with Dates and Times in Datasets/182 - Import Financial Data Set with pandasdatareader Library English.vtt 11.3 KB
11 - Working with Dates and Times in Datasets/187 - The Timedelta Object English.vtt 11.3 KB
7 - Working with Text Data/132 - Split Strings by Characters with the strsplit Method English.vtt 11.2 KB
1 - Installation and Setup/5 - macOS English.vtt 11.1 KB
2 - BONUS Python Crash Course/23 - Variables English.vtt 11.1 KB
5 - DataFrames II Filtering Data/99 - Filter DataFrame with More than One Condition OR English.vtt 11.1 KB
6 - DataFrames III Data Extraction/113 - Passing second arguments to the loc and iloc Accessors English.vtt 11.0 KB
4 - DataFrames I Introduction/85 - The astype Method I English.vtt 11.0 KB
9 - The GroupBy Object/154 - Intro to the GroupBy Module English.vtt 11.0 KB
13 - Visualization/197 - Use the plot Method to Render a Line Chart English.vtt 11.0 KB
5 - DataFrames II Filtering Data/107 - Delete Duplicate DataFrame Rows with the dropduplicates Method English.vtt 11.0 KB
3 - Series/70 - The map Method English.vtt 10.9 KB
8 - MultiIndex/141 - The sortindex Method on a MultiIndex DataFrame English.vtt 10.9 KB
8 - MultiIndex/144 - The transpose Method on a MultiIndex DataFrame English.vtt 10.9 KB
3 - Series/51 - Passing Series to Python Built English.vtt 10.9 KB
7 - Working with Text Data/128 - Use the strreplace method to replace all occurrences of character with another English.vtt 10.7 KB
14 - Options and Settings in pandas/202 - Changing pandas Options with Attributes and Dot Syntax English.vtt 10.6 KB
12 - Input and Output in pandas/195 - Export Excel File with the toexcel Method English.vtt 10.5 KB
4 - DataFrames I Introduction/79 - Add New Column to DataFrame English.vtt 10.4 KB
3 - Series/69 - Use the apply Method to Invoke a Function on Every Series Values English.vtt 10.3 KB
11 - Working with Dates and Times in Datasets/179 - Create Range of Dates with the pddaterange Method Part 3 English.vtt 10.1 KB
8 - MultiIndex/150 - The pivot Method English.vtt 10.1 KB
3 - Series/42 - Intro to Methods English.vtt 10.0 KB
3 - Series/49 - Use the head and tail Methods to Return Rows from Beginning and End of Dataset English.vtt 9.8 KB
6 - DataFrames III Data Extraction/110 - Use the setindex and resetindex methods to define a new DataFrame index English.vtt 9.8 KB
6 - DataFrames III Data Extraction/117 - Delete Rows or Columns from a DataFrame English.vtt 9.8 KB
11 - Working with Dates and Times in Datasets/180 - The dt Accessor English.vtt 9.7 KB
5 - DataFrames II Filtering Data/104 - Check For Inclusion Within a Range of Values with the between Method English.vtt 9.7 KB
1 - Installation and Setup/14 - Cell Types and Cell Modes in Jupyter Notebook English.vtt 9.6 KB
12 - Input and Output in pandas/191 - Quick Object Conversions English.vtt 9.5 KB
11 - Working with Dates and Times in Datasets/174 - The pandas Timestamp Object English.vtt 9.5 KB
4 - DataFrames I Introduction/75 - Select One Column from a DataFrame English.vtt 9.4 KB
11 - Working with Dates and Times in Datasets/185 - The pdDateOffset Object English.vtt 9.3 KB
6 - DataFrames III Data Extraction/112 - Retrieve Rows by Index Position with iloc Accessor English.vtt 9.3 KB
14 - Options and Settings in pandas/203 - Changing pandas Options with Methods English.vtt 9.2 KB
7 - Working with Text Data/126 - Common String Methods English.vtt 9.2 KB
7 - Working with Text Data/134 - Exploring the expand and n Parameters of the strsplit Method English.vtt 9.1 KB
10 - Merging Joining and Concatenating DataFrames/163 - The pdconcat Method Part 2 English.vtt 9.0 KB
8 - MultiIndex/146 - The stack Method English.vtt 8.9 KB
6 - DataFrames III Data Extraction/124 - Create a Copy of a DataFrame with the copy Method English.vtt 8.8 KB
4 - DataFrames I Introduction/92 - Rank Series Values with the rank Method English.vtt 8.8 KB
7 - Working with Text Data/129 - Filter a DataFrames Rows with String Methods English.vtt 8.8 KB
6 - DataFrames III Data Extraction/123 - Apply a Function to every DataFrame Row with the apply Method English.vtt 8.7 KB
3 - Series/40 - Create A Series Object from a Python Dictionary English.vtt 8.6 KB
8 - MultiIndex/148 - The unstack Method Part 2 English.vtt 8.6 KB
5 - DataFrames II Filtering Data/101 - Check for Inclusion with the isin Method English.vtt 8.5 KB
4 - DataFrames I Introduction/74 - Differences between Shared Methods English.vtt 8.4 KB
3 - Series/67 - Use the valuecounts Method to See Counts of Unique Values within a Series English.vtt 8.4 KB
8 - MultiIndex/152 - Use the pdmelt method to create a narrow dataset from a wide one English.vtt 8.3 KB
6 - DataFrames III Data Extraction/115 - Set Multiple Values in a DataFrame English.vtt 8.3 KB
13 - Visualization/199 - Creating Bar Graphs to Show Counts English.vtt 8.2 KB
7 - Working with Text Data/125 - Intro to the Working with Text Data Section English.vtt 8.1 KB
9 - The GroupBy Object/159 - The agg Method English.vtt 8.0 KB
7 - Working with Text Data/133 - More Practice with the strsplit method on a Series English.vtt 7.7 KB
3 - Series/62 - Overwrite a Series Value English.vtt 7.6 KB
12 - Input and Output in pandas/192 - Export CSV File with the tocsv Method English.vtt 7.5 KB
6 - DataFrames III Data Extraction/122 - A Review of the apply Method on a pandas Series Object English.vtt 7.4 KB
8 - MultiIndex/149 - The unstack Method Part 3 English.vtt 7.4 KB
5 - DataFrames II Filtering Data/103 - Check for Null and Present DataFrame Values with the isnull and notnull Methods English.vtt 7.4 KB
3 - Series/56 - Check for Inclusion with Pythons in Keyword English.vtt 7.2 KB
10 - Merging Joining and Concatenating DataFrames/162 - The pdconcat Method Part 1 English.vtt 7.1 KB
7 - Working with Text Data/131 - Invoke String Methods on DataFrame Index and Columns English.vtt 7.0 KB
6 - DataFrames III Data Extraction/119 - Use the nsmallest nlargest methods to get rows with smallest largest values English.vtt 6.9 KB
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