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Python 库

There are two most useful libraries in Python that can help you deal with tabular data:

  • Pandas allows you to manipulate so-called Dataframes, which are analogous to relational tables. You can have named columns, and perform different operations on row, columns and dataframes in general.
  • Numpy is a library for working with tensors, i.e. multi-dimensional arrays. Array has values of the same underlying type, and it is simpler than dataframe, but it offers more mathematical operations, and creates less overhead.

There are also a couple of other libraries you should know about:

  • Matplotlib is a library used for data visualization and plotting graphs
  • SciPy is a library with some additional scientific functions. We have already come across this library when talking about probability and statistics
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import ... # you need to specify exact sub-packages that you need