All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection from a filelike handle Modifying formatting in XlsxWriter output HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple Queries with account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) New in version 0.18.1. dialect : {‘legacy’

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection from a filelike handle Modifying formatting in XlsxWriter output HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple Queries with account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) New in version 0.18.1. dialect : {‘legacy’

Using the tips dataset again, let’s find the average gratuity by size of the party and sex of the server. In Excel, we use the following configuration for the PivotTable: The equivalent in pandas: In text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts output Loading only visible sheets GH19842#issuecomment-892150745 HTML Reading HTML tables from a server that cannot handle the default request header 1026 Chapter 2. User Guide pandas: powerful Python

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection filelike handle Modifying formatting in XlsxWriter output 7.9.4 HTML Reading HTML tables from a server that cannot handle the default request header 7.9.5 HDFStore The HDFStores docs Simple Queries account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) dialect : {‘legacy’, ‘standard’}, default

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection filelike handle Modifying formatting in XlsxWriter output 7.9.4 HTML Reading HTML tables from a server that cannot handle the default request header 7.9.5 HDFStore The HDFStores docs Simple Queries account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) dialect : {‘legacy’, ‘standard’}, default

Using the tips dataset again, let’s find the average gratuity by size of the party and sex of the server. In Excel, we use the following configuration for the PivotTable: The equivalent in pandas: In text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts from a filelike handle Modifying formatting in XlsxWriter output HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple queries with

Using the tips dataset again, let’s find the average gratuity by size of the party and sex of the server. In Excel, we use the following configuration for the PivotTable: The equivalent in pandas: In text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts 1011 pandas: powerful Python data analysis toolkit, Release 1.3.3 HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple queries with

Using the tips dataset again, let’s find the average gratuity by size of the party and sex of the server. In Excel, we use the following configuration for the PivotTable: The equivalent in pandas: In text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts Guide pandas: powerful Python data analysis toolkit, Release 1.3.4 HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple queries with

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection pandas: powerful Python data analysis toolkit, Release 0.21.1 7.9.4 HTML Reading HTML tables from a server that cannot handle the default request header 7.9.5 HDFStore The HDFStores docs Simple Queries account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) dialect : {‘legacy’, ‘standard’}, default

Using the tips dataset again, let’s find the average gratuity by size of the party and sex of the server. In Excel, we use the following configuration for the PivotTable: The equivalent in pandas: In text). • Because XSLT is a programming language, use it with caution since such scripts can pose a security risk in your environment and can run large or infinite recursive operations. Always test scripts output Loading only visible sheets GH19842#issuecomment-892150745 HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple queries with