May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Pandas
Built on top of NumPy, pandas is one of the most widely used libraries for data science using Python. It facilitates high-performance data structures and data-analysis methods. Pandas provides an in-memory two-dimensional table object called a DataFrame, which in turn is made of a one-dimensional, array-like structure called a series.
Each DataFrame in pandas is in the form of a spreadsheet-like table with row labels and column headers. It is possible to carry out row-based or column-based operations, or both together. Pandas strongly integrates with matplotlib to provide several intuitive visualizations of data that are often very useful when making presentations or during exploratory data analysis.
To import pandas into a Python ...
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