rpi-clone VS CPython

I've been running a bunch of Pi's for years now, and the biggest problem I've had is the Pi itself dying: 24/7 usage is hard on a small device. I've also found that stable power is essential, and to that end I've always used 5v 3a branded power cubes, plugged into a pure sine wave UPS. Choice of micro-SDHC cards is important and I ended up getting ATP industrial cards (https://www.atpinc.com/products/industrial-sd-cards) - expensive but really long-lived. Finally, using RPi-clone (https://github.com/billw2/rpi-clone) on a regular basis has been a life-saver. I clone to Sandisk Extreme micro-SDHCs and can recover from an outage in minutes.

I would normally use the Pi SD-Card copier to duplicate the SD-Card to an SSD but I'm unsure if this is available on the Ubuntu image - you could possibly use this program [Github] if you are not keen on using dd with a running system.

Then you will need to clone the SD to the SSD, you can use many tools that are available from your desktop computer or you can try with rpi-clone, just connect the SSD with Pi booted from SD, stop any possible service/docker to prevent any copy error and run, adapting device naming but usually will be (check device with dmesg):

I used rpi-clone, it was super easy. Whole process took 10 minutes. https://github.com/billw2/rpi-clone

rpi-clone

> It provides a meaningful performance improvement for at least one popular platform (realistically, on the order of 5%).

At first it will not provide a large boost, but it will set the foundations for larger gains in subsequent releases. They link a list of some proposed improvements already underway, with improvement estimates, at https://github.com/python/cpython/issues/115802

After that, with the basics of software engineering understood, I would move on to a wider use language, with a bigger ecosystem to employ, most likely Python. This would expose me to large system design / distributed systems and architectural challenges...

Have you ever felt like your photos needed a little extra touch to stand out? Well, get ready because we're about to learn a cool Python trick! We're going to take ordinary photos and turn them into awesome pencil sketches using Python and OpenCV. This will make your pictures look like they were drawn by hand!

Have you ever found yourself in a situation where you needed to convert a bunch of images into a PDF file quickly and efficiently? Imagine the convenience of converting a series of images from your recent trip into a single PDF album with just a few clicks. In this article, we will cover the process of building an Image PDF Converter App using Python. With the help of libraries like tkinter, os, and Python Imaging Library (PIL), we'll walk through the process of creating a powerful tool that can streamline this task for you.

If you've ever wanted to learn how to use Python or if you already know a bit and want to try something new, then you're in the right place! In this article, we'll show you step-by-step how to make your very own calculator using Python's Tkinter library, a renowned Python library for creating graphical user interfaces. Tkinter stands out for its simplicity, versatility, and widespread use in the Python community. It doesn't matter if you're a total beginner or an experienced coder looking for a fun project, we'll guide you through everything you need to know.

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Python for Windows bundles liblzma from this project, but it appears to be version 5.2.5 [0] vendored into the Python project's repo on 2022-04-18 [1], so that should be fine, right?

[0] https://github.com/python/cpython/blob/main/PCbuild/get_exte...

[1] https://github.com/python/cpython-source-deps/tree/xz

When working in Visual Studio Code (VS Code), start by creating a new Python file for your registration form project. It's helpful to have separate files for different parts of your project.

Before we dive into coding, you'll need to install Python on your computer if you haven't already. Visit the official Python website at python.org and download the latest version for your operating system. Follow the installation instructions, and you'll be ready to go.

Let's look briefly at each and peek at it's Python implementation...