Text data is often recorded as a time series with significant variability over time. Some examples of time-series text data include social media conversations, product reviews, research metadata, ...

Listing 1: Time Series Demo Program Structure # nn_timeseries.py # Python 3.x import numpy as np import random ... return airData In a non-demo scenario you'd likely store the data in a text file and ...

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The code in the book was tested with Python 3.5, though most (but ...

The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, ...

Time series data is used globally across various domains, including finance, healthcare, and sensor networks. Identifying patterns and anomalies within this data is crucial for several tasks like ...