July 2018
Beginner to intermediate
146 pages
3h 39m
English
Content preview from Hands-On Recommendation Systems with Python
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The Pandas library
Pandas is a package that gives us access to high-performance, easy-to-use tools and data structures for data analysis in Python.
As we stated in the introduction, Python is a slow language. Pandas overcomes this by implementing heavy optimization using the C programming language. It also gives us access to Series and DataFrame, two extremely powerful and user-friendly data structures imported from the R Statistical Package.
Pandas also makes importing data from external files into the Python environment a breeze. It supports a wide variety of formats, such as JSON, CSV, HDF5, SQL, NPY, and XLSX.
As a first step toward working with pandas, let's import our movies data into our Jupyter Notebook. To do this, we need the path ...
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