Dataanalysiskickstarter » History » Revision 2
Revision 1 (Nicolas Aunai, 24/12/2016 02:38 PM) → Revision 2/28 (Nicolas Aunai, 24/12/2016 02:48 PM)
# Data analysis kickstarter ## Which Python Pandas Pandas is an open source, BSD-licensed library should I use to handle providing high-performance, easy-to-use data series ? structures and data analysis tools for the Python programming language. You will want to use the python [[pandas]] * [Official pandas website](http://pandas.pydata.org) * [Video tutorial Series](http://www.dataschool.io/easier-data-analysis-with-pandas/) * [8 ressources for analyzing your data. It is in particular very well suited for time series data analysis and enable you to very easily manipulate dates, missing data, etc. with Pandas](http://www.dataschool.io/best-python-pandas-resources/) ## Is there a library for plotting statistical data? Seaborn [[Seaborn]] Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. * [official seaborn website](http://seaborn.pydata.org)