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 to where our dataset is located. This can be a URL on the internet or your local computer. We highly recommend downloading the data...
