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If you’re working with a cloud-based instance such as Amazon EC2, Microsoft Azure, etc., then you do not have physical access to the machine (meaning there is no keyboard/mouse to use).

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Why would I want to write my code remotely? While you are still typing using the keyboard on your local system, the commands/code itself are actually being executed on the remote machine. Once you’re connected to the remote machine you can then:įigure 1 illustrates the concept of using your host machine to login to a device, writing code on the remote system, and then executing it. We’ll be covering these methods later in this guide. There are a number of ways to connect to the remote machine, including SSH, VNC, Jupyter Notebooks, and others. To perform development you first connect to the remote machine from your host.

Your remote machine is the machine you login to via your host machine.

Your host machine is your laptop/desktop sitting on your desk where you normally work.

The remote machine where your code is executing.

Your host machine (also called your local machine) that has your monitor, keyboard, and mouse attached to.

Remote development assumes that you have two computers: What is remote development? Figure 1: Remote Python development flowchart. We’ll then discuss two easy to use methods for transferring files from your host machine to a remote system.įinally, we’ll wrap up the post with a discussion of Python IDEs that can be used to write code on a remote system. In the first part of this tutorial, we’ll discuss the concept of remote development and why it’s not only convenient for us as programmers, but also why you should be doing it when writing code on your non-host machine.įrom there I’ll provide you with my three favorite methods to connecting to a Raspberry Pi, AWS instance, or remote server.

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To learn how to configure your Raspberry Pi, Amazon EC2 instance, or server for remote Python development, just keep reading! Remote development on the Raspberry Pi (or Amazon EC2) …or any other system that you can connect to remotely!.An Amazon AWS server for remote deep learning.Your Raspberry Pi for remote computer vision development.

Using this tutorial you will learn how to configure: Therefore, I decided to take the chapter and convert it into a blog post. Today’s tutorial is actually a chapter for my upcoming book, Raspberry Pi for Computer Vision.Īs I was writing the chapter I realized that the guide wasn’t specific to the RPi and could actually be used for anyone who needed to configure a remote system for development (and in particular, using the Python programming language). You will discover how to configure your host machine to connect to these systems and remotely perform Python development. In this blog post, you will learn how to perform remote development on a Raspberry Pi (or Amazon EC2 server).

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