This is the code repository for Practical Time-Series Analysis, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.
Time-series analysis allows us to analyze certain data over a period of time and understand patterns in the data over time.This book will get you understanding the logic behind time-series analysis and implementing it in various fields, including financial, business, and social media.
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.
The code will look like the following:
import os
import pandas as pd
%matplotlib inline
from matplotlib import pyplot as plt
import seaborn as sns
You will need the Anaconda Python Distribution to run the examples in this book and write your own Python programs for time series analysis. This is freely downloadable from https://www.continuum.io/downloads. The code samples of this book have been written using the Jupyter Notebook development environment. To run the Jupyter Notebooks, you need to install Anaconda Python Distribution, which has the Python language essentials, interpreter, packages used to develop the examples, and the Jupyter Notebook server.