Python is a first-class tool, primarily due to the abundance of libraries for storing, analyzing, and processing data. Individual parts of the Python stack are described in many sources, but only in the new edition of "Python for Complex Problems"...
will you find a detailed description of: IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and more. Data processing specialists familiar with the Python language will find solutions to everyday tasks in the second edition, such as data processing, transformation and preparation, visualization of various types of data, and using data to build statistical models and machine learning models. Simply put, this book is an ideal reference for scientific computing in Python.
Python is a first-class tool, primarily due to the abundance of libraries for storing, analyzing, and processing data. Individual parts of the Python stack are described in many sources, but only in the new edition of "Python for Complex Problems" will you find a detailed description of: IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and more. Data processing specialists familiar with the Python language will find solutions to everyday tasks in the second edition, such as data processing, transformation and preparation, visualization of various types of data, and using data to build statistical models and machine learning models. Simply put, this book is an ideal reference for scientific computing in Python.
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