the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas will soon become a dependency of statsmodels, making it an important part of the statistical

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas will soon become a dependency of statsmodels, making it an important part of the statistical

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas will soon become a dependency of statsmodels, making it an important part of the statistical

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing

the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing