Learning Pandas

MessageThis Webinar is over
Date Dec 10, 2014
Time 01:00 PM EDT
Cost $169.00
Python has long been great for data munging and preparation, but less so for data analysis and modeling. pandas helps fill this gap, enabling you to carry out your entire data analysis workflow in Python without having to switch to a more domain specific language like R.

Combined with the excellent IPython toolkit and other libraries, the environment for doing data analysis in Python excels in performance, productivity, and the ability to collaborate.

Pandas provides to the Python programmer many of the features of R, such as:
  • A fast and efficient DataFrame object for data manipulation with integrated indexing;
  • Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format;
  • Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form;
  • Flexible reshaping and pivoting of data sets;
  • Intelligent label-based slicing, fancy indexing, and subsetting of large data sets;
  • Columns can be inserted and deleted from data structures for size mutability;
  • Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets;
  • High performance merging and joining of data sets;
  • Hierarchical axis indexing provides an intuitive way of working with high-dimensional data in a lower-dimensional data structure;
  • Time series-functionality: date range generation and frequency conversion, moving window statistics, moving window linear regressions, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data;
  • Highly optimized for performance, with critical code paths written in Cython or C.
  • Python with pandas is in use in a wide variety of academic and commercial domains, including Finance, Neuroscience, Economics, Statistics, Advertising, Web Analytics, and more.

This course will introduce you to Pandas, taking your through examples of many of these features of the toolset to get you up and going quickly with Pandas and on the road leveraging data science in your profession and business.

This course will focus specifically on how to use the tools provided by Pandas to interactively manipulate data. Emphasis will be on learning the services of the framework and how to use them to load and manipulate information and develop skills in interactive data analysis. 

James Richard
Phone No: 800-447-9407
FaX: 302-288-6884 
Event Link: http://bit.ly/1xnIJSB


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