Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6 - Use the IPython shell and Jupyter notebook for exploratory computing - Learn basic and advanced features in NumPy (Numerical Python) - Get started with data analysis tools in the pandas library - Use flexible tools to load, clean, transform, merge, and reshape data - Create informative visualizations with matplotlib - Apply the pandas groupby facility to slice, dice, and summarize datasets - Analyze and manipulate regular and irregular time series data - Learn how to solve real-world data analysis problems with thorough, detailed examples
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6 - Use the IPython shell and Jupyter notebook for exploratory computing - Learn basic and advanced features in NumPy (Numerical Python) - Get started with data analysis tools in the pandas library - Use flexible tools to load, clean, transform, merge, and reshape data - Create informative visualizations with matplotlib - Apply the pandas groupby facility to slice, dice, and summarize datasets - Analyze and manipulate regular and irregular time series data - Learn how to solve real-world data analysis problems with thorough, detailed examples
BY Python 🐍 Work With Data
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