pandas

• Getting started with pandas
• Awesome Book
• Awesome Community
• Awesome Course
• Awesome Tutorial
• Awesome YouTube
• Analysis: Bringing it all together and making decisions
• Appending to DataFrame
• Boolean indexing of dataframes
• Categorical data
• Computational Tools
• Creating DataFrames
• Cross sections of different axes with MultiIndex
• Data Types
• Dealing with categorical variables
• Duplicated data
• Getting information about DataFrames
• Gotchas of pandas
• Graphs and Visualizations
• Grouping Data
• Grouping Time Series Data
• Holiday Calendars
• Indexing and selecting data
• Boolean indexing
• Filter out rows with missing data (NaN, None, NaT)
• Filtering / selecting rows using `.query()` method
• Filtering columns (selecting "interesting", dropping unneeded, using RegEx, etc.)
• Get the first/last n rows of a dataframe
• Mixed position and label based selection
• Path Dependent Slicing
• Select by position
• Select column by label
• Select distinct rows across dataframe
• Slicing with labels
• IO for Google BigQuery
• JSON
• Making Pandas Play Nice With Native Python Datatypes
• Map Values
• Merge, join, and concatenate
• Meta: Documentation Guidelines
• Missing Data
• MultiIndex
• Pandas Datareader
• Pandas IO tools (reading and saving data sets)
• pd.DataFrame.apply
• Read MySQL to DataFrame
• Read SQL Server to Dataframe
• Reading files into pandas DataFrame
• Resampling
• Reshaping and pivoting
• Save pandas dataframe to a csv file
• Series
• Shifting and Lagging Data
• Simple manipulation of DataFrames
• String manipulation
• Using .ix, .iloc, .loc, .at and .iat to access a DataFrame
• Working with Time Series