# Practical-Time-Series-Analysis **Repository Path**: seenyea/Practical-Time-Series-Analysis ## Basic Information - **Project Name**: Practical-Time-Series-Analysis - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-12-09 - **Last Updated**: 2023-12-09 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Practical Time-Series Analysis This is the code repository for [Practical Time-Series Analysis](https://www.packtpub.com/big-data-and-business-intelligence/practical-time-series-analysis?utm_source=github&utm_medium=repository&utm_campaign=9781788290227), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the book from start to finish. ## About the Book 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. ## Instructions and Navigation 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. ## Related Products * [Practical Real-time Data Processing and Analytics](https://www.packtpub.com/big-data-and-business-intelligence/practical-real-time-data-processing-and-analytics?utm_source=github&utm_medium=repository&utm_campaign=9781787281202) * [Building Python Real-Time Applications with Storm](https://www.packtpub.com/big-data-and-business-intelligence/building-python-real-time-applications-storm?utm_source=github&utm_medium=repository&utm_campaign=9781784392857) * [SignalR – Real-time Application Development - Second Edition](https://www.packtpub.com/application-development/signalr-real-time-application-development-second-edition?utm_source=github&utm_medium=repository&utm_campaign=9781785285455) ### Download a free PDF If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
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