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A Guide to Time Series Forecasting with ARIMA in Python 3 — step-by-step Python tutorial on Progressive Robot

A Guide to Time Series Forecasting with ARIMA in Python 3

In this tutorial, we will produce reliable forecasts of time series. We will begin by introducing and discussing the concepts of autocorrelation, stationarity, and seasonality, and proceed to apply one of the most commonly used method for time-series forecasting, known as ARIMA.

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How To Display Data from the cloud provider API with Django — step-by-step Python tutorial on Progressive Robot

How To Display Data from the cloud provider API with Django

Django is a web framework written in Python. Django has been used in websites such as Mozilla, Pinterest and Instagram. You can use Django to display information from APIs (such as Instagram posts or GitHub repositories) in your own websites and web apps. In this tutorial you will build a Django project that will display your cloud account’s Droplet information using the cloud provider’s API. When you complete this tutorial, you will be able use APIs in your own Django projects.

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How To Customize React Components with Props — step-by-step Javascript tutorial on Progressive Robot

How To Customize React Components with Props

Props are arguments that you provide to a JSX element in a React application. They look like standard HTML props, but they aren’t predefined and can have many different JavaScript data types, including numbers, strings, functions, arrays, and even other React components. In this tutorial, you’ll create custom components by passing props to your component. After adding props, you will use PropTypes to define the type of data you expect a component to receive.

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How To Plot Data in Python 3 Using matplotlib — step-by-step Python tutorial on Progressive Robot

How To Plot Data in Python 3 Using matplotlib

Visualization is a quick and easy way to convey concepts in a universal manner, especially to those who aren’t familiar with your data. This tutorial will describe how to plot data in Python using the 2D plotting library matplotlib. We’ll go through generating a scatter plot using a small set of data, adding information such as titles and legends to plots, and customizing plots by changing how plot points look.

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