Data Science in Python, Volume 2: Data I/O, Jupyter Notebook, GUI, Deployment, Numeric Programming, High Performance Python
Data Science in Python, Volume 2 explores essential topics for building and running data-focused Python applications. Coverage includes data I/O, Jupyter Notebook, graphical user interfaces, deployment, numeric programming, and high-performance Python, offering a focused reference for readers expanding their programming and data science skills.
About This Book
Data Science in Python, Volume 2 focuses on practical tools and techniques for working with data in Python.
The book covers data input and output, Jupyter Notebook, graphical user interfaces, and deployment.
It also addresses numeric programming and approaches to high-performance Python.
This volume is intended for readers seeking a broader understanding of Python-based data science workflows and computational techniques.
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