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Name		Name	Last commit message	Last commit date
.ipynb_checkpoints		.ipynb_checkpoints
DataFrame - Changing Data Type from Lists.ipynb		DataFrame - Changing Data Type from Lists.ipynb
DataFrame - Hierarchical Lists Columns.ipynb		DataFrame - Hierarchical Lists Columns.ipynb
DataFrame - Hierarchical Lists Rows.ipynb		DataFrame - Hierarchical Lists Rows.ipynb
DataFrame - from List of dict.ipynb		DataFrame - from List of dict.ipynb
DataFrame - from Lists Custom Column Name.ipynb		DataFrame - from Lists Custom Column Name.ipynb
DataFrame - from Lists Custom Index.ipynb		DataFrame - from Lists Custom Index.ipynb
DataFrame - from Lists Using Constructor.ipynb		DataFrame - from Lists Using Constructor.ipynb
DataFrame - from Multiple Lists.ipynb		DataFrame - from Multiple Lists.ipynb
DataFrame - from dict Nested dict.ipynb		DataFrame - from dict Nested dict.ipynb
DataFrame - from dict using Constructor.ipynb		DataFrame - from dict using Constructor.ipynb
DataFrame - from dict where Values are Variable-length Lists.ipynb		DataFrame - from dict where Values are Variable-length Lists.ipynb
DataFrame - from dict with Key and Value as a Column.ipynb		DataFrame - from dict with Key and Value as a Column.ipynb
DataFrame - from dict with Required Columns Only.ipynb		DataFrame - from dict with Required Columns Only.ipynb
DataFrame - from dict with User-Defined Indexes.ipynb		DataFrame - from dict with User-Defined Indexes.ipynb
DataFrame - from dict with a Single Value.ipynb		DataFrame - from dict with a Single Value.ipynb
DataFrame - from dict with dict Keys as a Row.ipynb		DataFrame - from dict with dict Keys as a Row.ipynb
DataFrame.head() function.ipynb		DataFrame.head() function.ipynb
DataFrame.tail() function.ipynb		DataFrame.tail() function.ipynb
Drop NA from defined rows.ipynb		Drop NA from defined rows.ipynb
Drop all duplicates.ipynb		Drop all duplicates.ipynb
Drop all the columns using loc.ipynb		Drop all the columns using loc.ipynb
Drop column by index position.ipynb		Drop column by index position.ipynb
Drop column from multi-index DataFrame.ipynb		Drop column from multi-index DataFrame.ipynb
Drop column in place.ipynb		Drop column in place.ipynb
Drop column where all values are missing.ipynb		Drop column where all values are missing.ipynb
Drop column where at least one value is missing.ipynb		Drop column where at least one value is missing.ipynb
Drop column with missing values in place.ipynb		Drop column with missing values in place.ipynb
Drop column with the number of NA.ipynb		Drop column with the number of NA.ipynb
Drop duplicates and reset the index.ipynb		Drop duplicates and reset the index.ipynb
Drop duplicates but keep first.ipynb		Drop duplicates but keep first.ipynb
Drop duplicates but keep last.ipynb		Drop duplicates but keep last.ipynb
Drop duplicates from defined columns.ipynb		Drop duplicates from defined columns.ipynb
Drop duplicates in place.ipynb		Drop duplicates in place.ipynb
Drop first n columns.ipynb		Drop first n columns.ipynb
Drop multiple columns.ipynb		Drop multiple columns.ipynb
Drop range of columns using iloc.ipynb		Drop range of columns using iloc.ipynb
Drop single column.ipynb		Drop single column.ipynb
Rename a single column.ipynb		Rename a single column.ipynb
Rename all columns with a list.ipynb		Rename all columns with a list.ipynb
Rename column by adding prefix - suffix.ipynb		Rename column by adding prefix - suffix.ipynb
Rename column by index position.ipynb		Rename column by index position.ipynb
Rename column using a function.ipynb		Rename column using a function.ipynb
Rename columns by removing leading and trailing spaces.ipynb		Rename columns by removing leading and trailing spaces.ipynb
Rename columns in all levels.ipynb		Rename columns in all levels.ipynb
Rename columns in defined level.ipynb		Rename columns in defined level.ipynb
Rename columns in place.ipynb		Rename columns in place.ipynb
Rename multiple columns.ipynb		Rename multiple columns.ipynb
Reset index and change column name.ipynb		Reset index and change column name.ipynb
Reset index and creates new column in level.ipynb		Reset index and creates new column in level.ipynb
Reset index and name other level.ipynb		Reset index and name other level.ipynb
Reset index by level.ipynb		Reset index by level.ipynb
Reset index in place.ipynb		Reset index in place.ipynb
Reset index starts from 1.ipynb		Reset index starts from 1.ipynb
Reset index to starts at 0.ipynb		Reset index to starts at 0.ipynb
Reset index to the range of numbers.ipynb		Reset index to the range of numbers.ipynb
Reset index without new column.ipynb		Reset index without new column.ipynb
Reset multi-level index.ipynb		Reset multi-level index.ipynb
Select bottom n rows in pandas DataFrame.ipynb		Select bottom n rows in pandas DataFrame.ipynb
Select bottom rows except for first n rows.ipynb		Select bottom rows except for first n rows.ipynb
Select bottom rows from the multi index DataFrame.ipynb		Select bottom rows from the multi index DataFrame.ipynb
Select top rows except for last n rows.ipynb		Select top rows except for last n rows.ipynb
Select top rows from multi-index DataFrames.ipynb		Select top rows from multi-index DataFrames.ipynb
Select value using row and column labels using DataFrame.at.ipynb		Select value using row and column labels using DataFrame.at.ipynb
Select value using row and column position using DataFrame.iat.ipynb		Select value using row and column position using DataFrame.iat.ipynb
Set index but keep column.ipynb		Set index but keep column.ipynb
Set index by keeping old index.ipynb		Set index by keeping old index.ipynb
Set index in place.ipynb		Set index in place.ipynb
Set index using a Python range.ipynb		Set index using a Python range.ipynb
Set index using a column.ipynb		Set index using a column.ipynb
Set index using a list.ipynb		Set index using a list.ipynb
Set index using multiple columns.ipynb		Set index using multiple columns.ipynb
Set multi-index using a list and column.ipynb		Set multi-index using a list and column.ipynb
Set multi-index using two Python series.ipynb		Set multi-index using two Python series.ipynb
Set specific value in pandas DataFrame.ipynb		Set specific value in pandas DataFrame.ipynb
Use lambda expressions to rename.ipynb		Use lambda expressions to rename.ipynb
Using drop with axis='columns' or axis=1.ipynb		Using drop with axis='columns' or axis=1.ipynb
Using rename with axis='columns' or axis=1.ipynb		Using rename with axis='columns' or axis=1.ipynb
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